[{"_1":2,"_407":-5,"_408":-5},"loaderData",{"_3":4,"_12":13},"root",{"_5":-5,"_6":7,"_8":9},"user","hasAccess",false,"h1bUi",{"_10":7,"_11":-5},"enabled","userId","routes/jobs",{"_14":15,"_15":16,"_92":43,"_93":94,"_99":-5,"_100":101},"kind","job",{"_17":18,"_19":20,"_21":22,"_23":24,"_25":26,"_27":28,"_29":-5,"_30":-5,"_31":32,"_34":35,"_36":37,"_38":37,"_39":-5,"_40":41,"_42":43,"_44":45,"_46":47,"_48":7,"_49":50,"_51":-5,"_52":53,"_55":-5,"_56":-5,"_57":58,"_70":71,"_72":73,"_74":75,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":81,"_82":-5,"_83":7,"_84":85,"_86":7,"_87":88,"_89":-5,"_90":91},"id","49ba6c54-2309-4d7c-b99e-9d9fd7c4399e","title","Staff Engineer - Money, Risk & Payment Ancillaries","url","https://jobs.lever.co/yuno/f26bce6d-c46f-4c4b-9397-341cebe80986","job_description_full","","job_description_summary_short","The posting is for a Staff Engineer focused on Money, Risk & Payment Ancillaries. No further role details are provided.","job_description_summary_long","This role is titled Staff Engineer - Money, Risk & Payment Ancillaries. The posting does not describe specific responsibilities, technologies, qualifications, benefits, work arrangements, or compensation. No education or experience requirements are stated. Visa sponsorship information is also not provided.","employment_type","compensation","seniority",[33],"staff+","date_posted","2026-09-01T05:44:03.367+00:00","created_at","2026-09-05T10:06:47.586865+00:00","updated_at","deleted_at","company","Yuno","company_slug","yuno","profile_pic_url","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/2c77f4de-5024-46c1-b50a-02127439a3d7.png","career_category","Software Engineering","sponsors_h1b","headcount_range","RANGE_1001_5000","latest_funding_class","location_ids",[54],1826645935,"sub_categories","tech_stack","locations",[59],{"_17":54,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69},"city","London","slug","london-gbr","state","London, City of","country","United Kingdom","country_iso3","GBR","requirements",[],"responsibilities",[],"benefits",[],"salary_minvalue","salary_maxvalue","salary_currency","salary_unitText","credential_category","no-requirements","months_of_experience","experience_in_place_of_education","home_page_url","https://yunomusic.com","company_sponsors_h1b","h1b_sponsorship_status","unknown","h1b_sponsorship_evidence","company_id","2c77f4de-5024-46c1-b50a-02127439a3d7","companySlug","companyInfo",{"_17":91,"_95":41,"_62":43,"_84":85,"_96":97,"_49":50,"_98":-5},"name","linkedin_slug","yunopay","description","h1bHistory","similarJobs",[102,149,203,257,319,361],{"_17":103,"_19":104,"_21":105,"_23":106,"_25":107,"_27":108,"_29":-5,"_30":-5,"_31":109,"_34":110,"_36":111,"_38":111,"_39":-5,"_40":112,"_42":113,"_44":114,"_46":47,"_48":7,"_49":115,"_51":-5,"_52":116,"_55":117,"_56":119,"_57":121,"_70":123,"_72":129,"_74":137,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":81,"_82":147,"_83":7,"_84":148},"ad587782-9013-4e3a-a73d-fc7aa6a8083f","Security engineer, detection and response (UK)","https://jobs.ashbyhq.com/writer/069a0e75-8c96-438b-be2d-6fa9b3b86701"," 🚀 About WRITER\n\nWRITER is where the world's leading enterprises orchestrate AI-powered work. Our vision is to expand human capacity through superintelligence. And we're proving it's possible – through powerful, trustworthy AI that unites IT and business teams together to unlock enterprise-wide transformation. With WRITER's end-to-end platform, hundreds of companies like Mars, Marriott, Uber, and Vanguard are building and deploying AI agents that are grounded in their company's data and fueled by WRITER's enterprise-grade LLMs. Valued at $1.9B and backed by industry-leading investors including Premji Invest, Radical Ventures, and ICONIQ Growth, WRITER is rapidly cementing its position as the leader in enterprise generative AI.\n\nFounded in 2020 with office hubs in San Francisco, New York City, Seattle, Austin, Chicago, and London, our team thinks big and moves fast, and we're looking for smart, hardworking builders and scalers to join us on our journey to create a better future of work with AI.\n\n\n\n📐 About the role\n\nJoin WRITER's security team as a staff detection and response engineer and help protect the AI infrastructure that's transforming how the world works. You'll build sophisticated detection systems that identify attacks targeting our AI platform, training data, and model deployments while creating automated response capabilities that scale with our explosive growth. This isn't just traditional security work – you're defending cutting-edge AI/AGI systems against adversaries who are evolving their tactics as fast as AI itself advances.\n\nThis role combines hands-on security engineering with strategic thinking to stay ahead of novel threats that don't exist in textbooks yet. You'll be the operational arm of our security function, translating threat intelligence into real-time detections, coordinating incident response across multiple teams, and hunting for sophisticated attacks across GPU clusters and distributed training environments. If you're excited by the challenge of securing systems that are fundamentally different from anything you've protected before, this is your opportunity to define what AI security engineering looks like at scale.\n\nYou'll work closely with our AI Security research team, Cloud Infrastructure, Software Security Engineering, and AI researchers to build a defense-in-depth strategy that protects one of the most valuable AI platforms in the industry. The threats are real, the stakes are high, and the problems are intellectually fascinating.\n\nThis role can be based in San reporting to our head of security operations.\n\n\n\n🦸🏻‍♀️ What you’ll do\n\n - Design and implement detection strategies that identify AI-specific threats including prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training datasets or model weights across our distributed infrastructure\n\n - Build automated response playbooks and orchestration workflows that contain threats without human intervention, creating self-healing security systems that reduce mean time to response from hours to minutes while automatically remediating compromised inference endpoints\n\n - Lead security incident response coordination across all teams (Cloud, AppSec, Enterprise, AI Security) when AI infrastructure or models are compromised, conducting forensic investigations on training pipeline attacks and model manipulation attempts while drafting clear incident communications for engineering and executive leadership\n\n - Hunt proactively for sophisticated threats across GPU clusters and training infrastructure by analyzing model outputs for signs of compromise, reproducing AI-specific vulnerabilities from security research, and identifying visibility gaps in distributed training environments before adversaries exploit them\n\n - Build detection-as-code frameworks with version control and automated deployment, onboard telemetry from AI training infrastructure and inference endpoints, and create dashboards that track model security metrics, GPU utilization patterns, and access to sensitive research data\n\n - Collaborate cross-functionally as the operational security partner for all teams – translating AI Security's threat research into production detections, monitoring Cloud Infrastructure's GPU clusters for threats, detecting customer-impacting incidents for Software Security Engineering, and enabling responsible AI development through security guardrails\n\n - Maintain 24/7 on-call rotation for critical AI security incidents, responding to real-time threats targeting our platform while continuously improving detection coverage and automation capabilities as our AI systems evolve\n\n\n\n⭐️ What you need\n\n - 3-5+ years in security operations, detection engineering, or incident response with a proven track record of identifying and stopping sophisticated attacks in production environments, plus 3+ years specifically securing AI/ML infrastructure, high-performance computing environments, or other distributed systems at scale\n\n - Strong programming skills in Python, KQL, SPL, or similar languages that allow you to build custom detection logic, automate response workflows, and create tools that operationalize security at scale across cloud-native and distributed computing environments\n\n - Experience with SIEM platforms, detection technologies, and forensic investigation techniques with demonstrated ability to build detection for novel attack techniques that don't have established patterns yet and to conduct forensics in complex distributed environments\n\n - Self-directed execution mindset with a track record of securing high-value intellectual property, automating incident response in complex environments, and identifying critical security gaps through proactive threat hunting before they become incidents\n\n - Deep alignment with WRITER's values – you naturally Connect across security, infrastructure, and AI research teams to build comprehensive defenses, you Challenge assumptions about what's possible in AI security engineering, and you Own the protection of our AI platform with unwavering accountability and a commitment to staying ahead of evolving threats\n\n\n\n🍩 Benefits & perks (UK full-time employees):\n\n - Generous PTO, plus company holidays\n\n - Comprehensive medical and dental insurance\n\n - Paid parental leave for all parents (16 weeks)\n\n - Fertility and family planning support\n\n - Early-detection cancer testing through Galleri https://www.galleri.com/partner/writer\n\n - Competitive pension scheme and company contribution\n\n - Annual work-life stipends for:\n \n - Wellness stipend for gym, massage/chiropractor, personal training, etc.\n \n - Learning and development stipend\n\n - Company-wide off-sites and team off-sites\n\n - Competitive compensation and company stock options\n\n","Join WRITER as a Staff Detection and Response Engineer to defend AI infrastructure, training data, and model deployments against sophisticated attacks. You will build detection systems, automate incident response, hunt threats across distributed AI environments, and coordinate critical security incidents.","This role designs and implements detections for AI-specific threats such as prompt injection, model extraction, data poisoning, adversarial examples, and unauthorized access to training data or model weights. The engineer will build automated response playbooks, detection-as-code frameworks, telemetry pipelines, security dashboards, and forensic investigation capabilities across cloud-native and distributed infrastructure. Responsibilities include leading incident response, threat hunting across GPU clusters and training environments, and maintaining a 24/7 on-call rotation. The role requires 3-5+ years in security operations, detection engineering, or incident response, including 3+ years securing AI/ML infrastructure, high-performance computing, or distributed systems. It offers the opportunity to define detection and response practices for large-scale AI security in collaboration with cloud infrastructure, software security, AI security, and research teams.",[33],"2026-09-04T22:50:13.495+00:00","2026-09-05T08:21:00.478556+00:00","WRITER","writer","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/6c620d87-942b-40b7-9e90-5f657351b828.png","RANGE_501_1000",[54],[118],"Security",[120],"Python",[122],{"_17":54,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69},[124,125,126,127,128],"3-5+ years of experience in security operations, detection engineering, or incident response.","3+ years of experience securing AI/ML infrastructure, high-performance computing environments, or distributed systems at scale.","Strong programming skills in Python, KQL, SPL, or similar languages for detection logic, response automation, and security tooling.","Experience with SIEM platforms, detection technologies, and forensic investigation techniques.","Demonstrated ability to detect novel attack techniques, investigate complex distributed environments, secure high-value intellectual property, automate incident response, and conduct proactive threat hunting.",[130,131,132,133,134,135,136],"Design and implement detection strategies for AI-specific attacks across distributed infrastructure.","Build automated response playbooks, orchestration workflows, and remediation capabilities for compromised inference endpoints.","Lead security incident response, forensic investigations, and incident communications across Cloud, AppSec, Enterprise, and AI Security teams.","Proactively hunt for threats across GPU clusters and training infrastructure and reproduce AI-specific vulnerabilities.","Build detection-as-code frameworks, onboard telemetry, and create dashboards for model security, GPU utilization, and sensitive research data access.","Translate threat research into production detections and collaborate with infrastructure, software security, and AI research teams.","Participate in a 24/7 on-call rotation for critical AI security incidents.",[138,139,140,141,142,143,144,145,146],"Generous paid time off and company holidays for UK full-time employees.","Comprehensive medical and dental insurance.","Paid parental leave of 16 weeks for all parents.","Fertility and family planning support.","Early-detection cancer testing through Galleri.","Competitive pension scheme and company contribution.","Wellness, learning and development, and work-life stipends.","Company-wide and team off-sites.","Company stock options.",36,"https://writer.com",{"_17":150,"_19":151,"_21":152,"_23":153,"_25":154,"_27":155,"_29":-5,"_30":-5,"_31":156,"_34":157,"_36":158,"_38":159,"_39":-5,"_40":160,"_42":161,"_44":162,"_46":47,"_48":7,"_49":50,"_51":-5,"_52":163,"_55":164,"_56":166,"_57":171,"_70":173,"_72":184,"_74":193,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":81,"_82":200,"_83":201,"_84":202},"b596079f-7a90-429f-87e8-e9dc2786be46","Amazon Connect, Principal Consultant","https://jobs.lever.co/ttecdigital/1ea125e5-1123-4472-aa44-5012403a6486","# Description\n\nAt TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.\n\n# Lists\n\n## What you will be doing:\n\n

Design and implement Amazon Connect contact flows, routing logic, and IVR solutions for voice and digital channels (live chat, voice, written channels)
Build and deploy serverless integrations using AWS Lambda (Python/Node.js), API Gateway, DynamoDB, Kinesis, and CloudFormation/Terraform connecting Amazon Connect to backend systems (Pega CRM, internal APIs)
Implement infrastructure as code (Terraform/CloudFormation) for repeatable, CI/CD-driven deployments across environments
Support country go-live rollouts configuring Amazon Connect instance setup for scaling from pilot (Hungary) to 80+ countries and 40+ languages
Contribute to WFM delivery Amazon Connect forecasting, scheduling, capacity planning configuration, and real-time/historical reporting integrations
Collaborate with programme stakeholders participating in sprint ceremonies, providing technical input to architecture decisions, and communicating progress to project/programme managers
Create reusable artefacts technical documentation, runbooks, deployment guides, and knowledge transfer materials that enable the team and customer to operate independently

Partner directly with client technical teams and business stakeholders, providing technical guidance and contributing to design workshops and solution reviews.

\n\n## Skills and experience you will bring:\n\n

Bachelor's degree in Computer Science, Engineering, or equivalent professional experience
5+ years of hands-on software development or cloud engineering experience

Demonstrable experience delivering multiple Amazon Connect implementations in enterprise environments, including design, integrations, routing, telephony, and production support.

Proficiency in Python or Node.js with production deployment experience
Experience with AWS services: Lambda, API Gateway, DynamoDB, S3, CloudWatch, IAM, CloudFormation or Terraform
Hands-on experience with REST API development and integration of contact centre platforms with CRM/backend systems
Experience with CI/CD pipelines, version control (Git), and infrastructure as code
Ability to work effectively within cross-functional Agile teams in a complex enterprise environment

Applicants must have the permanent right to work in the United Kingdom. Sponsorship is not available for this position.

\n\n## Preferred skills\n\n

Amazon Connect implementation experience (contact flows, Contact Lens, Lex integration, telephony/number porting)
AWS certifications (Solutions Architect Associate or Professional)
Experience with WFM solutions (forecasting, scheduling, real-time adherence)
Multi-language/multi-country deployment experience at enterprise scale
Experience working with or at AWS Professional Services, system integrators, or specialist CC consultancies
Familiarity with Pega CRM or Salesforce Service Cloud Voice integrations
Experience in regulated environments (financial services, travel/hospitality)

\n\n## Why join us?\n\n

Work on one of the world's largest Amazon Connect transformation programmes
Deliver customer experience solutions at global scale
Collaborate with AWS specialists and enterprise architects
Influence the adoption of next-generation AI-powered customer service capabilities
Opportunities to work across voice, digital, AI, automation, and analytics technologies
\n
This position is eligible to participate in an annual incentive program. Actual compensation offered to a candidate may vary based upon geographic location, work experience, education and/or skill levels.
\n

\n
Benefits available to eligible employees include the following:
\n
- Medical, dental, vision
\n
- tax-advantaged health care accounts
\n
- financial and income protection benefits
\n
- flexible time off (FTO) and wellness time off.
\n

\n

","Principal Consultant responsible for designing, implementing, and scaling Amazon Connect contact center solutions across voice and digital channels. The role combines hands-on AWS development, infrastructure automation, global rollout support, workforce management configuration, and client-facing technical consulting.","Design and implement Amazon Connect contact flows, routing logic, IVR solutions, and digital contact channels for enterprise clients. Build serverless integrations with AWS services and backend systems such as Pega CRM, while automating deployments through Terraform or CloudFormation and CI/CD pipelines. Support a global rollout spanning more than 80 countries and 40 languages, including workforce management forecasting, scheduling, capacity planning, and reporting integrations. Partner with client technical teams, business stakeholders, architects, and programme managers through workshops, solution reviews, and delivery ceremonies. The role also requires producing documentation, runbooks, deployment guides, and knowledge-transfer materials to support independent customer operations.",[33],"2026-09-04T18:47:24.899+00:00","2026-09-04T22:02:59.039947+00:00","2026-09-04T22:44:03.262209+00:00","TTEC Digital","ttec-digital","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/18d8c0b7-6bde-4c09-8dce-b9815fad4845.png",[54],[165],"Solutions Engineering",[167,168,169,120,170],"Amazon DynamoDB","Git","Node.js","Terraform",[172],{"_17":54,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69},[174,175,176,177,178,179,180,181,182,183],"Bachelor's degree in Computer Science or Engineering, or equivalent professional experience.","At least 5 years of hands-on software development or cloud engineering experience.","Demonstrable experience delivering multiple enterprise Amazon Connect implementations covering design, integrations, routing, telephony, and production support.","Production deployment experience with Python or Node.js.","Experience with AWS Lambda, API Gateway, DynamoDB, S3, CloudWatch, IAM, and CloudFormation or Terraform.","Hands-on experience developing and integrating REST APIs and connecting contact center platforms with CRM or backend systems.","Experience with CI/CD pipelines, Git, and infrastructure as code.","Ability to work effectively in cross-functional Agile teams in complex enterprise environments.","Permanent right to work in the United Kingdom; sponsorship is not available.","Preferred qualifications include Contact Lens, Lex, telephony and number-porting experience; AWS Solutions Architect certification; workforce management experience; global multi-country deployment experience; AWS Professional Services, systems integrator, or contact center consultancy experience; Pega CRM or Salesforce Service Cloud Voice integration familiarity; and regulated-industry experience.",[185,186,187,188,189,190,191,192],"Design and implement Amazon Connect contact flows, routing logic, IVR, voice, live chat, and written-channel solutions.","Build and deploy AWS serverless integrations using Python or Node.js, Lambda, API Gateway, DynamoDB, Kinesis, and backend APIs.","Implement infrastructure as code with Terraform or CloudFormation and support CI/CD-driven deployments across environments.","Configure Amazon Connect instances and support country go-live rollouts across more than 80 countries and 40 languages.","Contribute to workforce management delivery, including forecasting, scheduling, capacity planning, and real-time and historical reporting integrations.","Partner with client technical teams and business stakeholders in design workshops, solution reviews, architecture decisions, and technical guidance.","Collaborate with cross-functional programme teams and communicate progress to project and programme managers.","Create technical documentation, runbooks, deployment guides, reusable artefacts, and knowledge-transfer materials.",[194,195,196,197,198,199],"Medical, dental, and vision benefits.","Tax-advantaged health care accounts.","Financial and income protection benefits.","Flexible time off and wellness time off.","Eligibility to participate in an annual incentive program.","Opportunity to work on a large-scale global Amazon Connect transformation programme with AWS specialists and enterprise architects.",60,true,"https://ttecdigital.com",{"_17":204,"_19":205,"_21":206,"_23":207,"_25":208,"_27":209,"_29":-5,"_30":-5,"_31":210,"_34":211,"_36":212,"_38":213,"_39":-5,"_40":214,"_42":215,"_44":216,"_46":47,"_48":201,"_49":50,"_51":217,"_52":218,"_55":219,"_56":222,"_57":227,"_70":229,"_72":242,"_74":251,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":81,"_82":255,"_83":7,"_84":256},"edcf3d28-1b60-4d0d-96d1-14ed40ce70a7","Staff Engineer - Web Platform","https://job-boards.greenhouse.io/intercom/jobs/8180342","<div class="content-intro"><a href="https://fin.ai/">Fin</a> is the AI Customer Agent company on a mission to help businesses provide perfect customer experiences.\nOur AI Agent Fin is the highest-performing AI Customer Agent on the market today, enabling businesses to deliver impeccable, always-on customer support across the customer journey – from service, to sales, to ecommerce. Powered by our own AI models, Fin resolves complex customer issues end-to-end across every channel, with minimal set-up and integration. Fin can also be combined with our natively integrated Intercom help desk for one single system that is designed to meet the needs of modern day support teams.\nFounded in 2011, Fin became one of the fastest growing companies and remains one of the largest private software companies in the world with nearly 30,000 global businesses using our products to transform their customer support. Driven by our core values, we push boundaries, build with speed and intensity, and relentlessly deliver incredible value to our customers.</div><div>\n<h2>What’s the opportunity?</h2>\nFin's websites, including <a href="https://fin.ai/">fin.ai</a>, are strategic growth levers for the company — powering storytelling, brand, experimentation, and product discovery. As our Staff Engineer, you will shape the technical direction and architectural evolution of our web platform and systems. You’ll act as the technical leader across our marketing and growth web surfaces. This is a cross-functional engineering leadership role, partnering with marketing, analytics, design, data science, and engineering teams — to ensure our web stack is modern, performant, measurable, and delightful to build on. You’ll operate with a high degree of autonomy and will be accountable for setting the long-term technical strategy for the team and executing against it.\n<h2>What will I be doing?</h2>\nAs a senior technical leader, you will:\n<ul>\n<li>Own and evolve the architecture of Fin's web platform.</li>\n<li>Define the long-term technical strategy for the web team, focusing on scalability, performance, developer productivity, observability, and system reliability.</li>\n<li>Collaborate closely with marketing, design, analytics, and data science stakeholders to ensure the platform supports their goals with accuracy, performance, and agility.</li>\n<li>Lead and influence the design and implementation of MarTech systems for event tracking, attribution, funnel reporting, A/B testing infrastructure, and more.</li>\n<li>Partner with engineers across web, infrastructure, and data to create a high-quality, cohesive technical ecosystem.</li>\n<li>Mentor and elevate engineers across the team and organisation — providing guidance on architecture, data modeling, system design, and engineering best practices.</li>\n<li>Set the standard for technical excellence in reliability, maintainability, code quality, and operational readiness.</li>\n<li>Provide technical leadership and insight to Engineering Managers, Product Managers, and executive stakeholders - communicating risks, trade-offs, and opportunities clearly.</li>\n<li>Contribute hands-on to the codebase — leading by example and helping unblock and accelerate key projects.</li>\n</ul>\n<h2>What skills do I need?</h2>\nWe’re looking for someone who brings deep technical expertise, cross-functional leadership, and strong domain knowledge in web systems. You should have:\n<ul>\n<li>8+ years of software engineering experience.</li>\n<li>Experience in a high-scale growth-focused web environment.</li>\n<li>A track record of technical leadership and influencing technical direction across multiple teams or departments.</li>\n<li>Deep expertise in Next.js and the React ecosystem.</li>\n<li>Experience with headless CMS platforms such as Contentful or Sanity - including content modeling, migration, and multi-site architecture. </li>\n<li>Experience with infrastructure-as-code (Terraform), cloud platforms (AWS, CloudFront, S3), and deployment platforms (Vercel). </li>\n<li>Experience designing or operating experimentation infrastructure - A/B testing frameworks, event instrumentation, attribution systems and tools like Eppo. </li>\n<li>Strong understanding of web analytics and data instrumentation - experience with event tracking SDKs, Google Tag Manager, or similar. </li>\n<li>Comfortable working in and supporting full-stack codebases - even if this role is not UI-heavy, a solid frontend architecture awareness is valued.</li>\n<li>Experience operating in continuous delivery environments with an emphasis on incremental, high-quality shipping. </li>\n<li>Exceptional communication skills and a history of collaborating with cross-functional teams (product, marketing, analytics, design, etc.)</li>\n<li>A mentorship mindset — proven ability to raise the bar for engineering excellence across a team or organization.</li>\n</ul>\n<div>\n#LI-Hybrid\n</div>\n</div><div class="content-conclusion">At Fin, we want to give people what they need to do the best work of their careers. Our benefits and programs are designed to support your health and wellbeing, your family, your time away from work, and your financial future. Offerings vary by location in line with local practices and requirements. Learn more about working at Fin and the benefits we offer at <a href="http://fin.ai/careers" target="_blank">fin.ai/careers</a>.\nPolicies \nFin has a hybrid working policy. We believe that working in person helps us stay connected, collaborate easier and create a great culture while still providing flexibility to work from home. We expect employees to be in the office at least three days per week.\nWe have a radically open and accepting culture at Fin. We avoid spending time on divisive subjects to foster a safe and cohesive work environment for everyone. As an organization, our policy is to not advocate on behalf of the company or our employees on any social or political topics out of our internal or external communications. We respect personal opinion and expression on these topics on personal social platforms on personal time, and do not challenge or confront anyone for their views on non-work related topics. Our goal is to focus on doing incredible work to achieve our goals and unite the company through our <a href="https://www.intercom.com/careers">core values</a>.  \nFin values diversity and is committed to a policy of Equal Employment Opportunity. Fin will not discriminate against an applicant or employee on the basis of race, color, religion, creed, national origin, ancestry, sex, gender, age, physical or mental disability, veteran or military status, genetic information, sexual orientation, gender identity, gender expression, marital status, or any other legally recognized protected basis under federal, state, or local law.</div>","Staff Engineer - Web Platform will set the technical direction for Fin’s marketing and growth web systems, including architecture, experimentation, analytics, and developer productivity. The role combines hands-on web engineering with cross-functional technical leadership and mentorship.","The engineer will own and evolve Fin’s web platform architecture across marketing and growth surfaces, with responsibility for scalability, performance, observability, reliability, and developer productivity. They will design and lead MarTech capabilities for event tracking, attribution, funnel reporting, and A/B testing while partnering with marketing, analytics, design, data science, infrastructure, and engineering teams. The role requires deep expertise in Next.js and React, along with experience using headless CMS platforms, cloud infrastructure, Terraform, deployment platforms, and web analytics tools. The engineer will provide technical leadership across teams, mentor engineers, communicate trade-offs to senior stakeholders, and contribute hands-on to key projects. The position is hybrid, with employees expected to work in the office at least three days per week.",[33],"2026-09-04T16:49:17+00:00","2026-09-04T18:06:59.582702+00:00","2026-09-04T22:49:08.024445+00:00","Intercom","intercom","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/5dabdaf6-6965-42ad-a69b-3057ecb39d77.png","SERIES_D",[54],[220,221],"Frontend","Growth Engineering",[223,224,225,170,226],"AWS","Next.js","React","Vercel",[228],{"_17":54,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69},[230,231,232,233,234,235,236,237,238,239,240,241],"8+ years of software engineering experience.","Experience in a high-scale, growth-focused web environment.","Track record of technical leadership and influencing direction across multiple teams or departments.","Deep expertise in Next.js and the React ecosystem.","Experience with headless CMS platforms such as Contentful or Sanity, including content modeling, migration, and multi-site architecture.","Experience with Terraform, AWS, CloudFront, S3, and Vercel.","Experience designing or operating experimentation infrastructure, including A/B testing frameworks, event instrumentation, attribution systems, and tools such as Eppo.","Strong understanding of web analytics and data instrumentation, including event tracking SDKs and Google Tag Manager or similar tools.","Comfort supporting full-stack codebases and understanding frontend architecture.","Experience operating in continuous delivery environments with incremental, high-quality shipping.","Exceptional communication and cross-functional collaboration skills.","Proven ability to mentor engineers and raise engineering standards across a team or organization.",[243,244,245,246,247,248,249,250],"Own and evolve the architecture of Fin’s web platform.","Define long-term technical strategy focused on scalability, performance, developer productivity, observability, and reliability.","Lead the design and implementation of event tracking, attribution, funnel reporting, and A/B testing infrastructure.","Collaborate with marketing, design, analytics, data science, infrastructure, and engineering stakeholders.","Mentor engineers and provide guidance on architecture, data modeling, system design, reliability, and engineering practices.","Set standards for technical excellence, maintainability, code quality, and operational readiness.","Communicate technical risks, trade-offs, and opportunities to engineering, product, and executive stakeholders.","Contribute hands-on to the codebase and help unblock key projects.",[252,253,254],"Hybrid working policy with at least three days per week in the office.","Benefits and programs supporting health and wellbeing, family, time away from work, and financial wellbeing, varying by location.","Equal Employment Opportunity and an open, accepting workplace culture.",96,"https://www.intercom.com/",{"_17":258,"_19":259,"_21":260,"_23":261,"_25":262,"_27":263,"_29":-5,"_30":-5,"_31":264,"_34":265,"_36":266,"_38":266,"_39":-5,"_40":267,"_42":268,"_44":269,"_46":47,"_48":7,"_49":50,"_51":-5,"_52":270,"_55":271,"_56":274,"_57":286,"_70":288,"_72":304,"_74":313,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":81,"_82":255,"_83":7,"_84":318},"aee1156c-c4ce-40ac-bd4a-850ddc68ca5b","Principal Engineer (Gen AI and MACH Architecture)","https://www.akqa.com/jobs/8023737/?gh_jid=8023737","At AKQA (part of WPP), we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design and build adaptive digital products, services and experiences that capture the imagination and deliver impressive returns for our clients.\nWe are looking for a senior, architecture-led Principal Engineer to join our London Technology team. This is a hands-on engineering role, not a strategy-only or evangelism position. You will spend the majority of your time designing, building and shipping enterprise-grade systems, with roughly 65 to 70% hands-on delivery and 30 to 35% technical leadership, architecture and team guidance.\nYou will lead the technical direction of complex client programmes across MACH architectures and production Generative AI; spanning Design to Code workflows, solution design and API contracts through to cloud infrastructure, deployment and ongoing operation. You will own architecture decisions, write and review production code, and mentor engineers, while remaining accountable for what ships, not just what is proposed.\nProduction Generative AI experience is essential. You must have at least three years' experience working with Generative AI, and have delivered at least one AI capability into a live, enterprise environment; not limited to prototypes, proofs of concept or demo builds. We need engineers who understand retrieval pipelines, evaluation, cost, governance and operational reliability at scale; including where custom model creation, fine-tuning or adaptation is required for production delivery.\nAKQA is advanced in Design Systems and Design to Code practice; from Figma design systems through to UI development and application delivery. Generative AI is increasingly embedded across this design-to-application workflow, accelerating the path from design intent to production-ready code and experiences.\nThe Principal Engineer (Tech Lead) is a key technical contributor across the programme lifecycle, working closely with Technical Managers, cross-discipline teams and on-shore, off-shore and hybrid engineering squads.\nThis role sits at Principal or Staff Engineer seniority, aligned with our Technical Managers and Technical Architects in scope and influence. While client-facing and influential, the role is technologist-first. You may occasionally support pre-sales scoping or technical pitches, but your primary value is deep engineering craft, sound system design and reliable enterprise delivery. Technical architecture and hands-on engineering capability are mandatory.\nBased in London (Farringdon), in a hybrid working environment, frequently collaborating with our global studios and partners, you will enjoy working in a team of highly skilled people, all with strong opinions about various technologies, frameworks and approaches.\nYou will articulate your ideas to colleagues effectively whilst also taking on board the ideas of others and remaining solutions focused. You will thrive when faced with new challenges, view them as opportunities and constantly look to improve client offerings. You will work in a progressive environment that fosters a meritocratic culture, surrounded by some of the brightest minds in their fields.\nAs a Principal Engineer (Tech Lead) at AKQA, you will be inspired by technology and have a passion for building robust, scalable solutions that perform in production.\n \nROLE REQUIREMENTS\nGenerative AI and Intelligent Experience Architecture\n<ul>\n<li>Minimum three years' experience with Generative AI, including proven experience shipping at least one AI solution to production in an enterprise context (beyond prototypes or sandbox experiments).</li>\n<li>AI architecture for experience platforms: system design for intelligent products and services, including RAG, GraphRAG, agent orchestration and proximity / relevance evaluation.</li>\n<li>Hands-on implementation with Vercel AI SDK, Vercel AI Cloud and agentic cloud patterns for production AI experiences.</li>\n<li>AI content and data engineering: ingestion, cleansing, transformation, embedding, indexing and retrieval pipeline design.</li>\n<li>Integration across cloud AI services (e.g. GCP + Vertex AI, Vercel AI Cloud, AWS Bedrock, Azure OpenAI) within a broader MACH and API-led landscape; with preference for GCP and Vercel, or suitable equivalents on AWS and Azure, and the capability to draw parallels across platforms.</li>\n<li>GEO and LLM optimisation: experience designing intelligent experiences and content structures optimised for generative engine discovery and LLM retrieval.</li>\n<li>Model fine-tuning: experience customising and fine-tuning existing models for production use cases; including data preparation, evaluation, versioning and deployment within enterprise governance, cost and reliability constraints.</li>\n<li>AI cost-value analysis, observability, governance, testing and evaluation frameworks for production systems.</li>\n<li>Practical application of Generative AI to marketing and experience challenges; e.g. personalisation, content generation, campaign optimisation; with measurable production outcomes.</li>\n</ul>\nDesign Systems and Design to Code\n<ul>\n<li>Design to Code workflow: advanced Design Systems thinking; experience bridging design intent through to UI development and production application builds.</li>\n<li>Generative AI in the design-to-application process: applying Gen AI to accelerate, validate and quality-assure the path from design to shippable code and experiences.</li>\n<li>Design and delivery tooling: experience with Figma, Cursor, Claude and Vercel v0 advantageous.</li>\n</ul>\nPlatform, Architecture and Engineering\n<ul>\n<li>Composable architecture: microservices, API-first, cloud-native and headless composition; minimum eight years' experience designing and delivering MACH-based enterprise platforms.</li>\n<li>Cloud platforms: deep hands-on experience across GCP & Vertex AI and Vercel AI cloud, or equivalent alternatives on AWS and Microsoft Azure; infrastructure design, security and operational ownership, and the ability to draw parallels across cloud providers.</li>\n<li>API design: RESTful and GraphQL APIs, contract-first design, versioning, gateway patterns and integration across SaaS, CMS, DXP and MarTech stacks.</li>\n<li>Distributed systems and event-driven architecture: messaging, async workflows, resilience patterns, idempotency and at-scale system behaviour.</li>\n<li>Backend and platform engineering: advanced server-side development (Python recommended; additional languages a plus), service design and performance optimisation.</li>\n<li>Infrastructure as Code and CI/CD: automated build, test and deployment pipelines (e.g. Terraform, GitHub Actions, Azure DevOps, GitLab).</li>\n<li>Cloud and edge hosting: GCP, Vercel, AWS, Azure, Netlify and related deployment models.</li>\n<li>Front-end integration literacy: HTML, CSS, JavaScript and Next.js + React; mobile technologies (SwiftUI, Kotlin, Flutter or React Native) advantageous.</li>\n<li>CMS, DXPs, MarTech and SaaS integration in complex enterprise landscapes; including headless CMS platforms such as Contentful, Sanity, ContentStack or similar.</li>\n<li>Workflow and delivery tooling: GitHub, Bitbucket, GitLab, Atlassian, Azure DevOps, CI/CD cloud functions or similar.</li>\n<li>Automation, quality assurance and non-functional requirements: security, performance, reliability and maintainability.</li>\n</ul>\n \nQUALITIES AND CHARACTERISTICS\n<ul>\n<li>Must be from a senior engineering, platform or architecture background; Principal, Staff or equivalent depth of hands-on experience.</li>\n<li>Builder-first mindset: you lead by doing, with architecture informed by what you have shipped in production.</li>\n<li>A continuous-improvement approach to engineering practice and team ways of working.</li>\n<li>Proactive self-starter with acute attention to detail and drive for improvement.</li>\n<li>Practically minded: excellent work in production matters more than abstract thought leadership.</li>\n<li>Advocate for improvements to processes, quality, security and operational excellence.</li>\n<li>Analytical, creative and positive mindset with a personable and professional approach.</li>\n<li>Sharp attention to detail and a passion for new technology, staying abreast with the latest developments in the industry.</li>\n<li>Professional written and verbal communication.</li>\n<li>Able to explain complex technical decisions to non-technical audiences (clients, stakeholders and team members).</li>\n<li>Champion continuous improvement and best-in-class software development processes.</li>\n<li>Contribute to technical discovery and be proactive in proposing engineering solutions to needs that other disciplines may not be aware of.</li>\n</ul>\n \nRECENT GENERATIVE AI WORK\nA selection of recent Generative AI work from across AKQA:\n<ul>\n<li><a href="https://www.akqa.com/work/google/bringing-emotion-and-intuition-back-to-online-shopping/" target="_blank">Google: Bringing emotion and intuition back to online shopping</a></li>\n<li><a href="https://www.akqa.com/work/netflix/its-whats-inside-the-game/" target="_blank">Netflix: It's What's Inside - The Game</a></li>\n<li><a href="https://www.akqa.com/work/nike/nike-50th-anniversary/never-done-evolving/" target="_blank">Nike: Never Done Evolving</a></li>\n</ul>\n \nExplore our extensive range of benefits <a href="https://www.akqa.com/studios/london/benefits/">here</a>.<div class="content-conclusion">We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process.\nAKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.\n<hr>\n\nAbout WPP\nWPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit <a href="http://wpp.com/" data-auth="NotApplicable" data-linkindex="0">WPP.com</a>.\n</div>","AKQA is seeking a hands-on Principal Engineer to lead enterprise Generative AI and MACH architecture while designing, building, and shipping production systems. The role combines deep engineering delivery with technical leadership across AI experiences, cloud platforms, APIs, and design-to-code workflows.","The Principal Engineer will own technical direction for complex client programmes spanning production Generative AI, MACH architectures, design-to-code workflows, APIs, cloud infrastructure, deployment, and operations. The role is approximately 65–70% hands-on delivery and 30–35% architecture, technical leadership, and team guidance, including writing production code and mentoring engineers. Candidates need at least three years of Generative AI experience, a live enterprise AI deployment, and at least eight years designing and delivering MACH-based enterprise platforms. Key work includes RAG and GraphRAG pipelines, agent orchestration, model fine-tuning, AI evaluation and governance, cloud architecture, backend systems, and enterprise integrations. The position is based in London and follows a hybrid working model with required in-office days.",[33],"2026-09-04T13:55:01+00:00","2026-09-05T02:33:10.58339+00:00","AKQA","akqa","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/97984bfa-f504-4209-8222-c1fd336c6f39.png",[54],[272,273],"AI Applications","Backend",[223,275,276,277,278,279,280,281,282,283,224,120,225,284,285,170,226],"Azure","CSS","Flutter","GitHub Actions","Google Cloud Platform","HTML","JavaScript","Kotlin","Netlify","React Native","SwiftUI",[287],{"_17":54,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69},[289,290,291,292,293,294,295,296,297,298,299,300,301,302,303],"At least three years of Generative AI experience and delivery of at least one AI capability into a live enterprise environment beyond prototypes or proofs of concept.","At least eight years designing and delivering MACH-based enterprise platforms.","Production experience with RAG, GraphRAG, agent orchestration, retrieval pipelines, evaluation, governance, reliability, and AI cost management.","Hands-on experience with Vercel AI SDK, Vercel AI Cloud, and agentic cloud patterns.","Deep experience with GCP and Vertex AI and Vercel AI Cloud, or equivalent AWS and Microsoft Azure capabilities.","Experience customizing and fine-tuning existing models, including data preparation, evaluation, versioning, deployment, governance, cost, and reliability considerations.","Advanced design and implementation experience with composable, cloud-native, headless, API-first, distributed, and event-driven architectures.","Advanced server-side development and platform engineering, with Python recommended and additional programming languages beneficial.","Experience with RESTful and GraphQL APIs, contract-first design, API versioning, gateway patterns, SaaS, CMS, DXP, and MarTech integrations.","Experience with design systems and design-to-code workflows; Figma, Cursor, Claude, and Vercel v0 experience is advantageous.","Experience with HTML, CSS, JavaScript, Next.js, React, and optionally SwiftUI, Kotlin, Flutter, or React Native.","Experience with infrastructure as code, CI/CD, automated testing and deployment, security, performance, reliability, and maintainability.","Experience integrating headless CMS platforms such as Contentful, Sanity, or ContentStack.","Senior engineering, platform, or architecture background at Principal, Staff, or equivalent depth, with a builder-first and production-focused approach.","Strong written and verbal communication, attention to detail, analytical thinking, and ability to communicate complex technical decisions to varied audiences.",[305,306,307,308,309,310,311,312],"Lead the technical direction and architecture of complex client programmes across MACH architectures and production Generative AI.","Design, build, review, deploy, and operate enterprise-grade systems, with approximately 65–70% of time spent on hands-on engineering delivery.","Own architecture decisions spanning AI experiences, APIs, cloud infrastructure, deployment, operational reliability, and enterprise integrations.","Design and implement retrieval pipelines, agent orchestration, evaluation frameworks, model fine-tuning, governance, observability, and cost-value analysis.","Bridge design intent to production applications through design systems, design-to-code workflows, UI development, and Generative AI tooling.","Develop backend and platform services, distributed systems, event-driven workflows, RESTful and GraphQL APIs, and infrastructure-as-code pipelines.","Mentor engineers, guide cross-discipline and distributed engineering squads, and explain technical decisions to clients and non-technical stakeholders.","Contribute to technical discovery and occasionally support pre-sales scoping or technical pitches.",[314,315,316,317],"Hybrid working environment based in London at the Farringdon office, including required in-office days.","Collaboration with global studios, partners, and cross-discipline engineering teams.","Access to AKQA's range of employee benefits, with details provided through the company's benefits resource.","Equal opportunity workplace with a culture focused on respect, inclusion, creativity, collaboration, and connection.","https://akqa.com",{"_17":320,"_19":321,"_21":322,"_23":323,"_25":324,"_27":325,"_29":-5,"_30":-5,"_31":326,"_34":327,"_36":328,"_38":329,"_39":-5,"_40":330,"_42":331,"_44":332,"_46":47,"_48":201,"_49":50,"_51":333,"_52":334,"_55":335,"_56":336,"_57":338,"_70":340,"_72":348,"_74":356,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":81,"_82":-5,"_83":7,"_84":360},"45992859-c633-48f8-8208-f85f32dcbca5","Lead Engineer","https://jobs.deel.com/klarna/job-details/c78a6fd6-6717-41ef-9bfd-7413cb66dca2/overview","

Klarna, briefly

At Klarna, we're building an everyday finance network, helping over 120 million consumers across 26 countries save time and money, and worry less about their finances. Working here means taking on problems most companies never get to solve, and being hands-on enough that the interesting part of the work lands with you, not someone else — you'll build with AI, not watch it happen.

This is the stretch zone. Come find out what you're capable of.

About the role

Being an engineer at Klarna means building and owning the systems that move money for millions of people — and that responsibility doesn't end when those systems ship. Your team and your focus can also change as the business changes, and the domain you join may look different in a year. Either way, this stays a hands-on role: you're still writing code, still making architecture calls, still in the codebase, and your influence comes from the quality of that work and the engineers you work most closely with.

We are searching for someone who brings expertise that changes what we are capable of. You've built something we haven't. You've gone deep somewhere we haven't been yet. The engineers here are strong; what they don't have is your specific experience, and that's exactly the gap we're hiring into.

What you'll do

Make sound, defensible technical decisions, and be able to say clearly what you decided against and why.
Think past your own contribution: how it fits the wider architecture, where failures propagate, what breaks first under load, and who feels it downstream.
Tie technical choices to business outcomes and size the solution to the problem's actual value - including when the right answer is something small.
Design for the constraints that come with being a regulated bank - reliability, auditability, controls - and treat them as part of the engineering problem rather than an obstacle to it.
Mentor engineers and raise the technical bar across teams. You act as a multiplier and elevate the people and teams around you, not just your own output.
Set the standard for how your domain uses AI in everyday practice - not as a demo, as a working method.

Who you are

You bring a capability Klarna doesn't have today. Your experience doesn't just improve what's already there - it unlocks something new entirely.
You have built and operated systems with real reliability and performance demands at scale, ideally in Java, JavaScript, or Python environments.
You make trade-offs and can articulate the roads not taken.
You optimize for business outcomes over engineering elegance, and you know the difference between right-sizing and gold-plating.
You explain complex systems clearly to technical and non-technical audiences alike.
You lead through your work, not your title.
You're comfortable with ambiguity and can move an initiative forward across several teams without formal authority over any of them.
You have scar tissue and you talk about it - the incident, the design that didn't survive contact with production, what you changed afterwards.

Things you should know before applying

Working together: We value co-located teams; most teams currently meet in the office 2–3 days per week, and this varies by team and can change over time.
Non-obvious backgrounds are welcome. Diversity of skills, perspectives and backgrounds is how we create, innovate, and disrupt like no other.
Final compensation will be based on the candidate's qualifications, skills, and experience.
This is a general Lead Engineer opening, not tied to one fixed team. Depending on need at the time of hiring, you could be placed in one of several domains. A domain is a group of teams working on a related set of problems — for example, everything to do with risk, or everything to do with checkout.

Please include a CV in English. Concrete beats comprehensive — what you built, what it did, what it cost. Curious about Klarna and what it's like to work here? Explore our career site.

","Klarna is seeking a hands-on Lead Engineer to build and operate high-scale financial systems, make architectural decisions, and raise engineering standards across teams. The role offers broad domain flexibility and emphasizes reliability, regulated-bank constraints, mentorship, and practical use of AI.","The Lead Engineer will design, build, and operate systems serving millions of consumers while making sound architectural and technical trade-offs. They will account for reliability, performance, auditability, and controls in a regulated banking environment and connect engineering decisions to business outcomes. The role includes mentoring engineers, improving technical practices across teams, and influencing initiatives across multiple teams without formal authority. Candidates should have built and operated reliable systems at scale, ideally using Java, JavaScript, or Python, and be able to explain complex systems and learn from production incidents. This is a general opening that may place the successful candidate in domains such as risk or checkout.",[33],"2026-09-04T11:01:45.098+00:00","2026-09-04T13:40:28.105703+00:00","2026-09-04T22:36:53.735991+00:00","Klarna","klarna","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/92724679-c6c7-4344-93d5-d1907db5e248.jpg","OTHER",[54],[273],[337,281,120],"Java",[339],{"_17":54,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69},[341,342,343,344,345,346,347],"Experience building and operating reliable, high-performance systems at scale, ideally in Java, JavaScript, or Python environments.","Ability to make and articulate technical trade-offs, including the reasoning behind rejected alternatives.","Ability to prioritize business outcomes over unnecessary engineering complexity.","Ability to communicate complex systems clearly to technical and non-technical audiences.","Experience leading through technical work, mentoring others, and influencing teams without formal authority.","Comfort working through ambiguity and learning from production incidents and failed designs.","A distinctive capability or area of expertise that expands what the organization can build.",[349,350,351,352,353,354,355],"Make defensible technical and architectural decisions, including clearly explaining alternatives that were rejected.","Design systems with broader architecture, failure propagation, load behavior, reliability, auditability, and regulatory controls in mind.","Connect technical choices to business outcomes and right-size solutions to the value of the problem.","Build and operate systems with demanding reliability and performance requirements at scale.","Mentor engineers, raise the technical bar, and improve engineering practices across teams.","Move initiatives forward across multiple teams without formal authority.","Set standards for practical, everyday use of AI within the engineering domain.",[357,358,359],"Most teams currently meet in the office two to three days per week, with the schedule varying by team and potentially changing over time.","Candidates from non-obvious backgrounds are welcome.","The opening is general and may place the hire in different domains, including risk or checkout.","http://www.klarna.com",{"_17":362,"_19":363,"_21":364,"_23":365,"_25":366,"_27":367,"_29":-5,"_30":-5,"_31":368,"_34":369,"_36":370,"_38":371,"_39":-5,"_40":372,"_42":373,"_44":374,"_46":47,"_48":201,"_49":375,"_51":376,"_52":377,"_55":378,"_56":-5,"_57":379,"_70":381,"_72":394,"_74":405,"_76":-5,"_77":-5,"_78":-5,"_79":-5,"_80":81,"_82":200,"_83":7,"_84":406},"0ae0666a-0628-4df3-abd8-9d621fe35e15","Lead Infrastructure Engineer - Proxy/SSE Network Security","https://jpmc.fa.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1002/job/210788186","

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the world's largest and most influential companies.

As a Lead Infrastructure Engineer at JPMorganChase within the Corporate Sector - Enterprise Technology, you apply deep knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Continue to evolve your technical and cross-functional knowledge outside of your aligned domain of expertise.

Job responsibilities

Executes creative Network security software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems. Develops secure high-quality production code, and reviews and debugs code written by others
Architect and implement Zero Trust Network Access (ZTNA) patterns for user-to-app and user-to-internet access, minimizing implicit trust and reducing lateral movement. Build and operate an Identity-Aware Proxy (IAP) / policy enforcement point for web and application access, enforcing identity, device, and context-based policy decisions. Implement or integrate Secure Gateway / Secure Web Gateway (SWG) capabilities (URL filtering, TLS inspection where approved, malware protection, sandboxing, egress controls, DNS security).
Experience with other SaaS based Secure Gateway vendor e.g. Zscaler, Netskope, paloalto, Broadcom ProxySG etc
Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Good understanding of network infrastructure, network security concepts and application layer protocols (http/https) and vulnerability mitigation
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Own the US perimeter, proxy, and SSE/SASE engineering roadmap and execution, including intake, prioritization, dependency management, delivery governance, and stakeholder alignment across cybersecurity, network services, operations, and application and platform teams.
Define and operationalize standards, reference architectures, and reusable engineering patterns for perimeter and egress controls, including forward proxy and secure web gateway patterns, access brokering and identity-aware access concepts where applicable, enterprise egress enforcement, segmentation and policy patterns, and design considerations such as TLS inspection and traffic steering, expressed at a pattern and control-integration level.
Provide engineering leadership across edge and connectivity adjacencies that materially impact perimeter posture and service delivery, including Cisco and Arista edge environments, colocation and interconnect ecosystems (including Equinix Fabric), and cloud adjacency patterns including AWS Direct Connect and AWS PrivateLink, with awareness of multi-cloud interconnect considerations.
Establish and run governance mechanisms that accelerate remediation while preserving strong controls, including backlog governance, exception handling, risk acceptance and closure workflows, traceability and auditability requirements, and reporting that ties delivery milestones to risk reduction and resilience outcomes.
Drive operational excellence at scale for perimeter, proxy, and SSE services in the US, including incident, change, and problem management rigor, observability and resiliency validation practices, automation to improve repeatability and evidence quality, reduction of client and partner impact, and execution of Technology Lifecycle Management (TLM) and modernization outcomes tied to stability and risk reduction.

Required qualifications, capabilities, and skills

5+ years in network security / SASE/ SSE/ identity security / security engineering (or equivalent depth).
Strong understanding of Zero Trust principles, policy-based access, segmentation, and secure egress.
Hands-on experience with proxy/gateway architectures (forward proxy, reverse proxy, IAP patterns) and secure internet access controls.
Deep knowledge of SAML, OIDC, OAuth 2.0 concepts, JWT (signing, verification, JWKs, rotation, scopes/claims, replay protection).
Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
Demonstrated experience delivering regional execution ownership in the US (or North America) for infrastructure and/or security platforms, including prioritization, cross-team coordination, and sustained accountability for operational and delivery outcomes.
Experience supervising engineers and delivering cross-team remediation, modernization, and platform programs with clear scope, dependency management, delivery milestones, and measurable outcomes.
Strong knowledge of network and perimeter security architecture and controls, including segmentation, routing and policy considerations, encryption and access control patterns, and defense-in-depth design principles.
Experience designing, delivering, or operating proxy and/or SSE capabilities at enterprise scale, including the ability to translate security requirements into deployable patterns and operational guardrails.
Strong experience translating security requirements into deployable edge and perimeter-adjacent connectivity patterns, including Cisco and Arista environments, and the ability to align engineering decisions to operational and control requirements.
Working knowledge of interconnect and colocation connectivity models (including Equinix Fabric) and cloud adjacency patterns including AWS Direct Connect and AWS PrivateLink, with the ability to incorporate these into perimeter and egress designs without compromising stability or controls.

Preferred qualifications, capabilities, and skills

Experience integrating US delivery requirements and stakeholder needs into global standards, reference architectures, and governance models while maintaining a consistent global risk posture.
Experience leading AI-threat-informed remediation programs, including adapting standards and engineering patterns to account for high-velocity reconnaissance, rapid technique iteration, and automation-driven exploitation attempts, without sacrificing control integrity or operational stability.
Experience building enterprise-scale governance programs for security engineering, including controls-by-design, exception frameworks, audit-ready traceability, and measurable risk reduction reporting.
Experience with large-scale operations for externally facing or security enforcement services, including observability strategy, resilience testing, incident response alignment, and reduction of repeat incidents and client-impacting events.
Experience designing and operating hybrid edge architectures and cloud interconnect patterns across multiple cloud providers.
Security certifications such as CISSP, CCSP, or comparable credentials.

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J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.
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\n We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.\n

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Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success.","Lead infrastructure engineering for JPMorganChase’s US proxy, Secure Service Edge (SSE), perimeter, and egress security platforms. The role combines hands-on security architecture and software engineering with roadmap ownership, governance, operational excellence, and cross-team technical leadership.","The Lead Infrastructure Engineer will design, build, and operate Zero Trust, identity-aware proxy, secure web gateway, proxy, and SSE capabilities at enterprise scale. Responsibilities include defining reference architectures and reusable controls, leading the US perimeter and proxy roadmap, integrating edge and cloud connectivity patterns, and driving remediation, modernization, resiliency, and lifecycle-management outcomes. The role requires hands-on knowledge of proxy and gateway architectures, identity protocols, network security, Cisco and Arista environments, Equinix Fabric, AWS Direct Connect, and AWS PrivateLink. It also includes supervising engineers, coordinating cross-functional delivery, establishing governance and auditability mechanisms, and promoting safe, validated use of AI-assisted engineering tools. At least five years of network security, SASE/SSE, identity security, or security engineering experience is required, with security certifications preferred.",[33],"2026-09-04T10:36:26+00:00","2026-09-04T13:39:46.420169+00:00","2026-09-04T22:33:04.617324+00:00","JPMorgan Chase","jpmorgan-chase","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/72b6b750-6b03-4c67-9c39-47708584c968.jpg","RANGE_10000_PLUS","PUBLIC",[54],[118],[380],{"_17":54,"_60":61,"_62":63,"_64":65,"_66":67,"_68":69},[382,383,384,385,386,387,388,389,390,391,392,393],"At least 5 years of experience in network security, SASE, SSE, identity security, or security engineering, or equivalent depth.","Strong understanding of Zero Trust, policy-based access, segmentation, secure egress, network and perimeter security architecture, encryption, access control, and defense-in-depth.","Hands-on experience with forward proxy, reverse proxy, identity-aware proxy, gateway architectures, and secure internet access controls.","Deep knowledge of SAML, OIDC, OAuth 2.0, JWT, JWKs, signing, verification, rotation, scopes, claims, and replay protection.","Experience delivering regional infrastructure or security platform ownership in the US or North America, including prioritization, cross-team coordination, and operational accountability.","Experience supervising engineers and delivering remediation, modernization, and platform programs with defined scope, dependencies, milestones, and measurable outcomes.","Experience designing, delivering, or operating enterprise-scale proxy and SSE capabilities and translating security requirements into deployable patterns and operational guardrails.","Experience with Cisco and Arista environments, interconnect and colocation models including Equinix Fabric, and cloud adjacency patterns including AWS Direct Connect and AWS PrivateLink.","Experience leading approved AI-assisted software development, code review, test acceleration, troubleshooting, and safe validation of AI outputs.","Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input and output handling, resiliency, security, and compliant adoption.","Preferred experience integrating US delivery needs into global standards and governance models, leading AI-threat-informed remediation, building enterprise security governance, operating externally facing security services, and designing hybrid multi-cloud edge architectures.","Preferred security certifications such as CISSP, CCSP, or comparable credentials.",[395,396,397,398,399,400,401,402,403,404],"Design, develop, troubleshoot, review, and debug secure network security software and production code.","Architect and implement Zero Trust Network Access, identity-aware proxy, secure gateway, secure web gateway, policy enforcement, segmentation, and secure egress patterns.","Integrate or operate capabilities such as URL filtering, approved TLS inspection, malware protection, sandboxing, egress controls, and DNS security.","Own the US perimeter, proxy, and SSE/SASE engineering roadmap, including prioritization, dependencies, delivery governance, and stakeholder alignment.","Define standards, reference architectures, reusable engineering patterns, and operational guardrails for perimeter, forward proxy, access brokering, identity-aware access, and egress controls.","Lead engineering across Cisco and Arista edge environments, Equinix Fabric, AWS Direct Connect, AWS PrivateLink, and related cloud and colocation connectivity patterns.","Establish backlog governance, exception handling, risk acceptance, traceability, auditability, and risk-reduction reporting mechanisms.","Drive incident, change, problem-management, observability, resiliency validation, automation, technology lifecycle management, and modernization outcomes for perimeter and SSE services.","Supervise engineers and coordinate cross-team remediation, modernization, and platform programs.","Promote approved AI-assisted engineering practices while establishing standards for validating correctness, performance, security, data handling, and compliance.",[],"https://www.jpmorganchase.com","actionData","errors"]

Staff Engineer - Money, Risk & Payment Ancillaries

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