[{"_1":2,"_382":-5,"_383":-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,"_98":43,"_99":100,"_105":-5,"_106":107},"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":56,"_58":-5,"_59":60,"_72":73,"_74":75,"_76":77,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":87,"_88":-5,"_89":7,"_90":91,"_92":7,"_93":94,"_95":-5,"_96":97},"id","f94bcfe1-d4b7-4835-aadc-a044ea75c060","title","Senior SDE-Web Analytics","url","https://mywdhr.wd1.myworkdayjobs.com/saks_offfifth_careers/job/Bangalore/Senior-SDE-Web-Analytics_R-103982","job_description_full","Saks OFF 5TH is the premier luxury off-price destination. In its more than 100 stores in the U.S. and Canada, and online, at SaksOFF5TH.com, the company provides the best names in fashion at an incredible value through its merchandise authority, unparalleled brand access and seamless connection between ecommerce and stores. What This Position Is All About: Your Life and Career at Saks OFF 5TH: Be part of an empowered, innovative team; work with an adventurous spirit and a customer-centric mindset; play a critical role in making decisions that will position us to win Exposure to rewarding career advancement opportunities across different functions within our corporate offices, retail stores, photo studios, and distribution centers A culture that promotes a flexible work environment Benefits package for all eligible full-time employees (including medical, dental and vision) An amazing employee discount and other exciting perks Thank you for your interest with Saks OFF 5TH. We look forward to reviewing your application. We believe that our differences not only make us stronger, but also guide our evolution and future growth. All associates are expected to create an inclusive environment free from harassment, discrimination, and bullying.Together, we celebrate, advocate for, and learn from our colleagues, customers and communities to create the best environment to shop and work for all.","job_description_summary_short","Saks OFF 5TH is hiring a Senior SDE-Web Analytics to join its innovative, customer-focused corporate team. The posting highlights career growth, a flexible work environment, employee benefits, and an associate discount.","job_description_summary_long","The posting identifies a Senior SDE-Web Analytics position at Saks OFF 5TH. It does not provide specific technical responsibilities, required qualifications, education requirements, experience requirements, or technologies. The company describes an empowered and innovative culture with opportunities for advancement across corporate, retail, studio, and distribution functions. Eligible full-time employees receive medical, dental, and vision benefits, along with an employee discount and other perks.","employment_type","compensation","seniority",[33],"senior","date_posted","2023-04-19T00:00:00+00:00","created_at","2026-09-07T18:39:53.736708+00:00","updated_at","deleted_at","company","Saks OFF 5TH","company_slug","saks-off-5th","profile_pic_url","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/cf2ef017-a2d5-49dc-87ae-875ebc360d6d.png","career_category","Software Engineering","sponsors_h1b","headcount_range","RANGE_1001_5000","latest_funding_class","location_ids",[54],1356410365,"sub_categories",[57],"Data Engineering","tech_stack","locations",[61],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},"city","Bengaluru","slug","bengaluru-ind","state","Karnātaka","country","India","country_iso3","IND","requirements",[],"responsibilities",[],"benefits",[78,79,80,81],"Flexible work environment.","Career advancement opportunities across corporate offices, retail stores, photo studios, and distribution centers.","Medical, dental, and vision benefits for eligible full-time employees.","Employee discount and other perks.","salary_minvalue","salary_maxvalue","salary_currency","salary_unitText","credential_category","no-requirements","months_of_experience","experience_in_place_of_education","home_page_url","https://saksoff5th.com","company_sponsors_h1b","h1b_sponsorship_status","unknown","h1b_sponsorship_evidence","company_id","cf2ef017-a2d5-49dc-87ae-875ebc360d6d","companySlug","companyInfo",{"_17":97,"_101":41,"_64":43,"_90":91,"_102":103,"_49":50,"_104":-5},"name","linkedin_slug","saks-com","description","h1bHistory","similarJobs",[108,161,222,268,318,354],{"_17":109,"_19":110,"_21":111,"_23":112,"_25":113,"_27":114,"_29":-5,"_30":-5,"_31":115,"_34":116,"_36":117,"_38":117,"_39":-5,"_40":118,"_42":119,"_44":120,"_46":47,"_48":121,"_49":122,"_51":-5,"_52":123,"_55":124,"_58":126,"_59":134,"_72":136,"_74":146,"_76":155,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":158,"_88":159,"_89":121,"_90":160},"30890149-ded6-4b29-b926-d04565fc1f86","Senior Full Stack Engineer - Oracle PL/SQL","https://fmr.wd1.myworkdayjobs.com/FidelityCareers/job/EMBASSY-MANYATA-BUSINESS-PARK-BLD-F2-Bangalore-India/Senior-Full-Stack-Engineer---Oracle-PL-SQL_2132885-1","Job Description: Lead Full Stack Engineer Build scalable, cloud-native solutions and data APIs that empower Asset Management's Portfolio Managers, Traders, Research Analysts, and Investment Operations teams to make informed, data-driven decisions. If you have a passion for full stack engineering and modern cloud technologies, this might be the right opportunity for you! The Purpose of Your Role The Lead Full Stack Engineer will work as part of a core team, designing, developing, and supporting scalable full stack applications. This hands-on role involves building cloud-native solutions on AWS, developing data integration capabilities and APIs, contributing to architecture and technology selection, and collaborating with global teams to drive technical excellence across solution design, development, and delivery. The Value You Deliver Technical expertise in building and supporting scalable full stack applications and cloud-native solutions on AWS. Building quality solutions that align with the technology blueprint and standard methodologies to solve business problems — driving design, development, and ongoing support. Contributing to application architecture, design reviews, and technology selection decisions. Leading development efforts, performing code reviews, and promoting engineering best practices. Driving system reliability, performance optimization, security, and operational excellence. Working with our distributed global teams and providing technical direction in building solutions. Actively participating in agile ceremonies, knowledge-sharing sessions, code and design reviews. Troubleshooting complex production issues and driving root-cause analysis and resolution. The Skills that are Key to this role You have strong experience in Oracle SQL/PLSQL, Data Modeling, Performance Tuning, OLTP/Data Warehousing, ETL/ELT, and Informatica. You have hands-on expertise in Java, Python, and data APIs. You have hands-on experience with AWS services such as EC2, Lambda, S3, IAM, and API Gateway. You have a strong understanding of cloud-native architecture, deployment patterns, and distributed systems. You have experience with Unix/Linux, Shell Scripting, CI/CD pipelines, and automation practices. You are familiar with job scheduling tools such as Autosys, Control-M, or Cron. You have excellent problem-solving, stakeholder management, and technical leadership skills. You have strong communication skills to handle various partners across India, Ireland, and the US. The Skills that are Good to Have for this role You have experience with Snowflake and modern cloud data platforms. You have knowledge of test automation and Acceptance Test Driven Development (ATDD). You have experience working in Asset Management, Financial Services, or Investment Technology domains. You are adaptable in a fast-changing technology environment. You have a strong sense of ownership and accountability. You have a collaborative mindset with mentoring and team-building abilities. You are self-motivated with a passion for learning new technologies and driving innovation. How Your Work Impacts the Organization Asset Management Technology (AMT) provides worldwide technology and support to all the Investment Management, Research, Trading and Investment Operations functions. AMT is an integral partner for Asset Management to deliver innovative, scalable, industry-leading investment tools that enable Asset Management to achieve competitive advantage globally. The Expertise We're Looking For Bachelor’s degree in engineering, Computer Science, MCA, or equivalent 5-9 years of experience in software engineering, full stack development, data engineering, or cloud platform development AWS Certified Developer/Solution Architect Associate Certification is a plus Location: Bangalore - Manyata Shift timings: 11:00 am - 8:00 pm IST Certifications: Category: Information Technology","Lead hands-on full stack engineering for scalable, cloud-native applications and data APIs supporting global asset management teams. The role combines Java, Python, Oracle PL/SQL, AWS, data integration, architecture, and technical leadership.","Design, develop, and support scalable full stack applications and cloud-native solutions on AWS for portfolio management, trading, research, and investment operations. Build data integrations and APIs, contribute to architecture and technology selection, conduct code reviews, and provide technical direction across global teams. Work extensively with Oracle SQL/PLSQL, data modeling, performance tuning, ETL/ELT, Informatica, Java, Python, and AWS services. Troubleshoot production issues, improve reliability and performance, and support automation, deployment, and operational excellence. A bachelor's degree or equivalent and 5-9 years of relevant software, full stack, data engineering, or cloud platform experience are required; AWS certification and Snowflake experience are preferred.",[33],"2026-09-08T00:00:00+00:00","2026-09-08T04:35:00.694346+00:00","Fidelity","fidelity","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/c8b92414-74dd-4f28-9a5c-a6db8d02aa86.jpg",true,"RANGE_10000_PLUS",[54],[57,125],"Full Stack",[127,128,129,130,131,132,133],"AWS","Informatica","Java","Linux","Oracle Database","Python","Snowflake",[135],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[137,138,139,140,141,142,143,144,145],"Bachelor’s degree in engineering or Computer Science, MCA, or equivalent.","5-9 years of experience in software engineering, full stack development, data engineering, or cloud platform development.","Strong experience with Oracle SQL/PLSQL, data modeling, performance tuning, OLTP/data warehousing, ETL/ELT, and Informatica.","Hands-on expertise in Java, Python, and data APIs.","Hands-on experience with AWS services including EC2, Lambda, S3, IAM, and API Gateway.","Understanding of cloud-native architecture, deployment patterns, and distributed systems.","Experience with Unix/Linux, shell scripting, CI/CD pipelines, automation practices, and job scheduling tools such as Autosys, Control-M, or Cron.","Strong problem-solving, stakeholder management, communication, technical leadership, mentoring, and team-building skills.","Preferred qualifications include Snowflake or modern cloud data platform experience, test automation and Acceptance Test Driven Development knowledge, relevant asset management or financial services experience, and AWS Certified Developer or Solutions Architect Associate certification.",[147,148,149,150,151,152,153,154],"Design, develop, and support scalable full stack applications and cloud-native solutions on AWS.","Build data integration capabilities and data APIs for asset management, investment, research, trading, and operations teams.","Contribute to application architecture, design reviews, and technology selection decisions.","Lead development efforts, conduct code reviews, and promote engineering best practices.","Drive system reliability, performance optimization, security, and operational excellence.","Provide technical direction and collaborate with distributed teams across India, Ireland, and the United States.","Troubleshoot complex production issues and lead root-cause analysis and resolution.","Participate in agile ceremonies, knowledge-sharing sessions, and code and design reviews.",[156,157],"The position is located in Bangalore - Manyata.","Shift timing is 11:00 am - 8:00 pm IST.","bachelor-degree",60,"https://www.fidelity.com",{"_17":162,"_19":163,"_21":164,"_23":165,"_25":166,"_27":167,"_29":-5,"_30":-5,"_31":168,"_34":169,"_36":170,"_38":170,"_39":-5,"_40":171,"_42":172,"_44":173,"_46":47,"_48":121,"_49":122,"_51":174,"_52":175,"_55":176,"_58":178,"_59":193,"_72":195,"_74":204,"_76":212,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":158,"_88":220,"_89":121,"_90":221},"796679d4-948d-4fc0-963a-424d3514d452","Software Engineer III","https://egug.fa.us2.oraclecloud.com/hcmUI/CandidateExperience/en/sites/CX_1/job/26009235","

The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed, by supporting the delivery and operations of technology capabilities, platforms, and services globally. Specifically, the team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for external customers and internal colleagues. It also encompasses product management for core enterprise platforms, as well as technology risk and information security; enterprise data governance and platforms; digital product and design; and enterprise AI platforms across American Express.

American Express is looking for a hands-on Software Engineer III in the Risk Decision Technology (RDT) organization for the Authorization Modernization Program (AMP) team. The RDT team is responsible for cross-domain, configurable platforms to enable best-in-class risk management and American Express growth with strong governance. The AMP team is on a journey to modernize and build next-gen authorizations platform. This role of Engineer will be an integral part of a team that designs and builds large-scale, high-transaction, cloud- native applications and drive us closer to the vision of a modernized authorizations platform.

Software Engineer III leads the full software development lifecycle, ensuring high reliability and efficiency through collaboration, innovative solutions, and rigorous code standards.

\n\n

Responsibilities

Contribute as an active member of an Agile development team, driving consistent engineering practices related to development standards, testing, documentation, and shared tooling.
Design, develop, and maintain high-quality Java-based applications and services, dedicating majority of time (80%+) to coding, unit testing, and automated test development within sprint cycles.
Build and enhance scalable microservices and APIs that support fraud risk assessment and secure customer transaction processing.
Develop and optimize high-throughput data pipelines to improve system efficiency, reliability, and scalability.
Collaborate with cross-functional engineering teams and stakeholders to deliver multi-system initiatives and platform integrations.
Design, implement, and maintain CI/CD pipelines to support continuous integration, automated testing, and reliable software delivery.
Develop automation frameworks for application build, deployment, and operational processes to improve release velocity and system stability.
Build a deep understanding of system architecture and integrations across platforms within the supported business domain.
Continuously refactor and improve code quality, maintainability, and performance while applying modern software engineering best practices.
Identify opportunities to adopt innovative technologies, frameworks, and engineering approaches that improve development productivity and system quality.
Provide operational support for applications to ensure high availability, reliability, and performance in production environments.
Collaborate effectively across teams to drive engineering excellence, influence technical decisions, and challenge the status quo with a continuous improvement mindset.
Leverage modern developer productivity tools, including Generative AI-assisted development tools, to accelerate coding, debugging, documentation, and testing while maintaining high standards of code quality and security.
Utilize AI-powered engineering tools to assist in code generation, test automation, documentation, and system analysis to improve engineering efficiency.

\n\n

Qualifications

Master’s or bachelor’s degree in computer science, Information Systems, Engineering, or a related technical field or equivalent practical experience development practices.
At least 7+ years of hands-on experience in design and coding in Java, SpringBoot, Kafka, Junits, Mockito, Integration testing, Sonar Cube, REST, Cloud & related experience in docker, kubernetes, Helm config, Dynatrace, performance tuning for sub second response applications.
Experience working with relational and NoSQL databases such as Oracle, PostgreSQL, Cassandra, or similar technologies.
Hands-on experience with automated build and release management tools such as Git, Gradle/Maven, and CI/CD platforms (e.g., Jenkins or similar).
Strong understanding of software engineering fundamentals including code quality, testing, and performance optimization.
Demonstrated ability to proactively identify opportunities for system improvements and technical innovation.
Strong communication and collaboration skills with the ability to work effectively across teams and influence technical outcomes.
Willingness to continuously learn and adopt new technologies, tools, and engineering practices.
Familiarity with AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, or similar) to improve development productivity and code quality.
Experience with public cloud like GCP/AWS.

\n\n

At American Express, our culture is built on a 175-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service.

As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express.

\n\n

We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones' physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

Competitive base salaries
Bonus incentives
Support for financial-well-being and retirement
Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
Generous paid parental leave policies (depending on your location)
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.

","American Express is seeking a hands-on Software Engineer III to build and modernize high-throughput authorization platforms for fraud risk assessment and secure transaction processing. The role focuses on Java-based services, scalable data pipelines, cloud-native applications, automated testing, and reliable production operations.","The engineer will lead work across the software development lifecycle, spending most of their time coding, unit testing, and developing automated tests for Java applications and services. Responsibilities include building microservices, APIs, high-throughput data pipelines, CI/CD pipelines, automation frameworks, and cloud-native integrations supporting authorization modernization. The role requires at least 7 years of hands-on experience with Java and a broad backend technology stack, including SpringBoot, Kafka, Docker, Kubernetes, databases, and cloud platforms. The engineer will also provide production support, improve system performance and reliability, and collaborate across teams on technical decisions. American Express offers flexible hybrid, onsite, or virtual work arrangements, comprehensive benefits, wellness support, and career development opportunities.",[33],"2026-09-07T10:22:48+00:00","2026-09-07T13:34:01.432682+00:00","American Express","american-express","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/97881d39-e22e-45e7-b0bc-6dc6e3851696.jpg","PUBLIC",[54],[177,57],"Backend",[179,180,127,181,182,183,184,185,129,186,187,188,189,190,191,192],"Apache Cassandra","Apache Kafka","Docker","Git","Google Cloud Platform","Gradle","Helm","Jenkins","JUnit","Kubernetes","Maven","PostgreSQL","SonarQube","Spring Boot",[194],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[196,197,198,199,200,201,202,203],"Bachelor’s or master’s degree in computer science, information systems, engineering, or a related technical field, or equivalent practical experience.","At least 7 years of hands-on design and coding experience with Java, SpringBoot, Kafka, JUnits, Mockito, integration testing, SonarQube, REST, cloud technologies, Docker, Kubernetes, Helm, Dynatrace, and performance tuning.","Experience with relational and NoSQL databases such as Oracle, PostgreSQL, and Cassandra.","Hands-on experience with Git, Gradle or Maven, and CI/CD platforms such as Jenkins.","Strong understanding of software engineering fundamentals, code quality, testing, and performance optimization.","Ability to identify system improvements, adopt new technologies, collaborate across teams, and influence technical outcomes.","Familiarity with AI-assisted development tools such as GitHub Copilot or ChatGPT.","Experience with public cloud platforms such as GCP or AWS.",[205,206,207,208,209,210,211],"Design, develop, maintain, test, refactor, and optimize Java-based applications and services.","Build scalable microservices and APIs supporting fraud risk assessment and secure customer transaction processing.","Develop and optimize high-throughput data pipelines.","Design and maintain CI/CD pipelines and automation frameworks for build, deployment, and operations.","Collaborate with engineering teams and stakeholders on integrations and multi-system initiatives.","Provide production operational support and improve application availability, reliability, performance, and code quality.","Use generative AI-assisted engineering tools for coding, debugging, documentation, testing, and system analysis.",[213,214,215,216,217,218,219],"Competitive base salaries and bonus incentives.","Financial well-being and retirement support.","Medical, dental, vision, life insurance, and disability benefits, depending on location.","Flexible hybrid, onsite, or virtual working arrangements depending on role and business need.","Paid parental leave, depending on location.","Access to onsite wellness centers and confidential counseling through the Healthy Minds program.","Career development and training opportunities.",84,"http://www.americanexpress.com",{"_17":223,"_19":224,"_21":225,"_23":226,"_25":227,"_27":228,"_29":-5,"_30":-5,"_31":229,"_34":230,"_36":231,"_38":232,"_39":-5,"_40":233,"_42":234,"_44":235,"_46":47,"_48":121,"_49":236,"_51":174,"_52":237,"_55":238,"_58":239,"_59":247,"_72":249,"_74":257,"_76":263,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":87,"_88":266,"_89":7,"_90":267},"8fb68572-956f-4cfb-8a71-8d7a7d6217a8","Senior Software Development Engineer","https://job-boards.greenhouse.io/zscaler/jobs/5020701007","<div class="content-intro">Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 160+ public exchanges globally and thousands of private exchanges at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform.\nWe believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler.</div>  <img style="max-width: 100%;" src="https://image.synthesia.io/c57d35c1-5686-4e34-bec6-bba734f90ab1/thumbnail.gif">\nRole \nWe are looking for a Full Stack Software Engineer to join our team. This is a Hybrid role based in Bangalore, India, reporting to the Sr. Manager of Software Engineering in the Risk360 department. You will join the team that built the world’s largest cloud security platform from the ground up to help organizations worldwide harness speed and agility with a cloud-first strategy. In this role, you will be a key contributor to our multitenant architecture, enabling the delivery of innovative services to over 15 million users across 185 countries.\nWhat you’ll do (Role Expectations)\n<ul>\n<li>Develop product features related to data transformations, enrichment, analytics, and user-facing dashboards</li>\n<li>Design and implement intuitive, performant web applications using ReactJS for data visualization and user interaction</li>\n<li>Build and maintain data processing pipelines to handle data ingestion, transformation, and analysis for risk quantification</li>\n<li>Establish monitoring mechanisms to track data platform performance and health while defining maintenance procedures</li>\n<li>Collaborate closely with UX/UI designers and backend engineers to deliver seamless end-to-end solutions</li>\n</ul>\nWho You Are (Success Profile)\n<ul>\n<li>You thrive in ambiguity. You're comfortable building the path as you walk it. You thrive in a dynamic environment, seeing ambiguity not as a hindrance, but as the raw material to build something meaningful.</li>\n<li>You act like an owner. Your passion for the mission fuels your bias for action. You operate with integrity because you genuinely care about the outcome. True ownership involves leveraging dynamic range: the ability to navigate seamlessly between high-level strategy and hands-on execution.</li>\n<li>You are a problem-solver. You love running towards the challenges because you are laser-focused on finding the solution, knowing that solving the hard problems delivers the biggest impact.</li>\n<li>You are a high-trust collaborator. You are ambitious for the team, not just yourself. You embrace our challenge culture by giving and receiving ongoing feedback—knowing that candor delivered with clarity and respect is the truest form of teamwork and the fastest way to earn trust.</li>\n<li>You are a learner. You have a true growth mindset and are obsessed with your own development, actively seeking feedback to become a better partner and a stronger teammate. You love what you do and you do it with purpose.</li>\n</ul>\nWhat We’re Looking for (Minimum Qualifications)\n<ul>\n<li>Demonstrated curiosity and active exploration of AI tools, with a proven history of integrating new technologies to enhance daily workflows and augment problem-solving</li>\n<li>3+ years of experience in software development for enterprise solutions, including web-based applications</li>\n<li>Solid experience in Core Java, Concurrency, Distributed Computing, and proficiency in SQL</li>\n<li>Exposure to Test Driven Development (TDD) using frameworks such as JUnit, REST Assured, TestNG, or Jest</li>\n<li>Experience with HTML5, CSS3, JavaScript/ES6+, and building responsive interfaces</li>\n</ul>\nWhat Will Make You Stand Out (Preferred Qualifications)\n<ul>\n<li>Experience developing scalable web applications handling large datasets efficiently and working knowledge of GraphQL</li>\n<li>Expertise in state management frameworks like Redux and performance optimization including tuning JVM</li>\n<li>Understanding of security compliance frameworks, statistics, and machine learning</li>\n</ul>\n#LI-AN4 #LI-Hybrid<div class="content-conclusion">At Zscaler, we are committed to building a team that reflects the communities we serve and the customers we work with. We foster an inclusive environment that values all backgrounds and perspectives, emphasizing collaboration and belonging. Join us in our mission to make doing business seamless and secure.\nOur Benefits program is one of the most important ways we support our employees. Zscaler proudly offers comprehensive and inclusive benefits to meet the diverse needs of our employees and their families throughout their life stages, including:\n<div class="has-nudge" data-nudge-id="5eb9419b-6a4d-4451-bfa6-e2eb96084be0">\n<ul>\n<li>Various health plans</li>\n<li>Time off plans for vacation and sick time</li>\n<li>Parental leave options</li>\n<li>Retirement options</li>\n<li>Education reimbursement</li>\n<li>In-office perks, and more!</li>\n</ul>\n<div class="has-nudge" data-nudge-id="5eb9419b-6a4d-4451-bfa6-e2eb96084be0">\nLearn more about Zscaler's hybrid working model and benefits <a href="https://www.zscaler.com/candidate-resource-hub" target="_blank">here</a>.\n</div>\n</div>\nBy applying for this role, you adhere to applicable laws, regulations, and Zscaler policies, including those related to security and privacy standards and guidelines.\nZscaler is committed to providing equal employment opportunities to all individuals. We strive to create a workplace where employees are treated with respect and have the chance to succeed. All qualified applicants will be considered for employment without regard to race, color, religion, sex (including pregnancy or related medical conditions), age, national origin, sexual orientation, gender identity or expression, genetic information, disability status, protected veteran status, or any other characteristic protected by federal, state, or local laws. See more information by clicking on the <a href="https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf">Know Your Rights: Workplace Discrimination is Illegal </a>link.\nPay Transparency\nZscaler complies with all applicable federal, state, and local pay transparency rules.\nZscaler is committed to providing reasonable support (called accommodations or adjustments) in our recruiting processes for candidates who are differently abled, have long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.</div>","Join Zscaler as a Senior Software Development Engineer building full-stack risk quantification features, data pipelines, and responsive dashboards for a global cloud security platform. This hybrid Bangalore role combines scalable web application development with data transformation and analytics.","The engineer will develop product features for data transformation, enrichment, analytics, and user-facing dashboards within Zscaler’s Risk360 department. Responsibilities include building ReactJS interfaces, maintaining data ingestion and processing pipelines, monitoring platform health, and collaborating with UX/UI designers and backend engineers. The role requires 3+ years of software development experience, with strong skills in Core Java, concurrency, distributed computing, SQL, and responsive web development. Preferred qualifications include experience with large datasets, GraphQL, Redux, JVM tuning, statistics, machine learning, and security compliance frameworks. The position is hybrid in Bangalore and supports a multitenant platform serving more than 15 million users across 185 countries.",[33],"2026-09-07T07:23:38+00:00","2026-05-11T15:20:19.292029+00:00","2026-09-07T08:09:24.116171+00:00","Zscaler","zscaler","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/b8da461e-fcc5-4024-8623-4130d9c38612.png","RANGE_5001_10000",[54],[57,125],[240,129,241,242,187,243,244,245,246],"GraphQL","JavaScript","Jest","React","Redux","SQL","TestNG",[248],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[250,251,252,253,254,255,256],"3+ years of software development experience for enterprise solutions, including web-based applications.","Strong experience with Core Java, concurrency, distributed computing, and SQL.","Experience or exposure to TDD using JUnit, REST Assured, TestNG, or Jest.","Experience with HTML5, CSS3, JavaScript/ES6+, and responsive interfaces.","Curiosity and demonstrated use of AI tools to improve workflows and problem-solving.","Preferred: experience with scalable web applications handling large datasets and working knowledge of GraphQL.","Preferred: expertise with Redux, JVM performance tuning, security compliance frameworks, statistics, and machine learning.",[258,259,260,261,262],"Develop product features for data transformation, enrichment, analytics, risk quantification, and user-facing dashboards.","Design and implement performant responsive web applications with ReactJS for data visualization and user interaction.","Build and maintain data ingestion, transformation, and analysis pipelines.","Establish monitoring for data platform performance and health and define maintenance procedures.","Collaborate with UX/UI designers and backend engineers on end-to-end solutions.",[264,265],"Hybrid work arrangement in Bangalore, India.","Health plans, vacation and sick time off, parental leave, retirement options, education reimbursement, and in-office perks.",36,"https://zscaler.com",{"_17":269,"_19":270,"_21":271,"_23":272,"_25":273,"_27":274,"_29":-5,"_30":-5,"_31":275,"_34":276,"_36":277,"_38":277,"_39":-5,"_40":278,"_42":279,"_44":280,"_46":47,"_48":121,"_49":50,"_51":174,"_52":281,"_55":282,"_58":284,"_59":291,"_72":293,"_74":306,"_76":314,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":158,"_88":159,"_89":121,"_90":317},"48c60cef-6f87-4661-a0bd-870b948ee448","Senior AI/ML Engineer","https://jobs.dolby.com/careers/job/39810381-senior-ai-ml-engineer-bangalore-india","

Join the leader in entertainment innovation and help us design the future. At Dolby, science meets art, and high tech means more than computer code. As a member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continue to revolutionize how people create, deliver, and enjoy entertainment worldwide. To do that, we need the absolute best talent. We’re big enough to give you all the resources you need, and small enough so you can make a real difference and earn recognition for your work. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work.

At Dolby, we’re changing the way the world experiences sight and sound. We enable people to experience music and movies; videos and pictures in all its intended grandeur and make life & work more meaningful and immersive. We give technology to the world’s content creators, owners, and distributors; manufacturers of TV, Mobile, and PC; and social and media platforms; so that they can truly delight their customers. We're the ones behind the astounding sound and sight experiences in the movie theaters and in your living room; on your mobile phones and on the internet.

About the Role

Dolby's Data & AI Platform team builds the systems that powers machine learning and analytics across the company, from codec telemetry spanning billions of devices to the media pipelines behind Dolby Atmos and Dolby Vision. Our data is high-volume, real-time, and deeply tied to how people experience sound and image worldwide.

We're hiring a Senior AI Engineer to design and own the data pipelines, platform services, and ML systems that our researchers, data scientists, and product teams depend on daily. You'll work across the full lifecycle, from ingestion through model deployment on systems that run at scale in production Kubernetes and Databricks environments.
This is a hands-on engineering role with real ownership. You'll build things, put them in production, and keep them running.

What You'll Do

Build and operate ML-ready data systems. Create the data preparation, feature generation, and training pipelines that AI researchers and ML engineers use to take models from experiment to production. Own data versioning, validation, and reproducibility for ML workflows.

Deploy and support production AI/ML systems. Build and maintain the pipelines that serve model training, testing, validation, deployment, and inference in production. Partner with ML engineers to operationalize models reliably.

Own data systems end-to-end. Design, build, and operate ETL/ELT pipelines that ingest data from real-time event streams, third-party APIs, and media-rich sources into our lakehouse architecture. Own throughput, latency, reliability, and cost.

Run production workloads on Kubernetes. Deploy, monitor, and troubleshoot containerized data services and distributed processing applications in cloud-native Kubernetes environments.

Develop platform and data products. Build SDKs, APIs, and reusable frameworks that make it easy for other engineering and research teams to access data and adopt the platform.

Ensure data quality and governance. Implement validation, reconciliation, and monitoring processes. Maintain data catalogs and metadata so teams can discover, trust, and reuse data assets across the organization.

Improve observability and operational health. Design monitoring, alerting, and logging for pipelines and infrastructure. You'll be expected to catch problems before users do.

What You Bring

Required

5+ years in data engineering, data platform engineering, AI engineering or a closely related field.
Expert-level proficiency in at least one major programming language such as Python, Scala, or Java.
Production ML/AI pipelines: you have personally built or co-built pipelines that took models through training, testing, validation, and deployment into production.
Databricks: hands-on production experience with Lakehouse architecture, Delta Lake, Spark optimization, and Workflows. Experience managing large-scale, heterogeneous datasets on Databricks.
Ray / Apache Spark (or equivalent distributed processing framework): deep, production-scale experience building and optimizing data pipelines.
Kubernetes: hands-on experience deploying, operating, and troubleshooting production workloads - not just deploying onto clusters, but understanding how they run.
Cloud platforms: strong experience with AWS, GCP, or Azure and their data services.
SQL Mastery: Advanced SQL skills for data manipulation, analysis, and optimization.
Database Knowledge: Solid understanding of relational and NoSQL databases.
Data Architecture: solid understanding of data modeling, schema design, and lake/lakehouse/warehouse patterns.
Event-driven systems: Experience with messaging, pub/sub, queues, or streaming platforms.

Preferred

Experience with MLOps tooling (MLflow, Airflow, Kubeflow, Feast, or similar).
Familiarity with feature stores, vector databases, embedding pipelines, or retrieval systems.
Experience on batch and online inference workloads with an understanding of latency sensitive environments.
Experience supporting generative AI, LLM, or multimodal AI workloads.
Optimized GPU utilization during model training or fine-tuning.
Understanding of distributed computing fundamentals - concurrency, consistency and fault tolerance.
CI/CD practices and Infrastructure-as-Code.
Contributions to open-source data or AI projects.

Education

Master’s or Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.

","Dolby is hiring a Senior AI/ML Engineer to build and operate scalable data pipelines, ML platforms, and production AI systems. The role spans data ingestion, model deployment, Kubernetes operations, and platform development across high-volume media and telemetry workloads.","The engineer will design ML-ready data systems, including feature generation, training, validation, deployment, and inference pipelines. They will build and operate ETL/ELT pipelines ingesting real-time events, third-party APIs, and media-rich data into a lakehouse architecture. The role includes developing SDKs, APIs, reusable frameworks, data governance, observability, and production workloads on Kubernetes and Databricks. Candidates need 5+ years of relevant experience, strong programming and SQL skills, and production experience with distributed processing, cloud platforms, databases, and event-driven systems. Preferred experience includes MLOps tooling, feature stores, vector databases, generative AI, GPU optimization, and batch or online inference.",[33],"2026-09-07T05:34:58+00:00","2026-09-08T03:41:43.128057+00:00","Dolby Laboratories","dolby-laboratories","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/3e9315c7-1236-4e72-8b90-e7c6ff264e49.jpg",[54],[57,283],"ML Engineering",[285,286,127,287,288,183,129,188,289,132,290,245],"Apache Airflow","Apache Spark","Azure","Databricks","MLflow","Scala",[292],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[294,295,296,297,298,299,300,301,302,303,304,305],"5+ years of experience in data engineering, data platform engineering, AI engineering, or a closely related field.","Expert-level proficiency in Python, Scala, or Java.","Hands-on experience building production ML/AI pipelines through training, testing, validation, and deployment.","Production experience with Databricks, Lakehouse architecture, Delta Lake, Spark optimization, and Workflows.","Deep experience with Ray, Apache Spark, or an equivalent distributed processing framework.","Hands-on experience deploying, operating, and troubleshooting production Kubernetes workloads.","Strong experience with AWS, GCP, or Azure and their data services.","Advanced SQL skills and solid knowledge of relational and NoSQL databases.","Understanding of data modeling, schema design, lake, lakehouse, and warehouse patterns.","Experience with messaging, pub/sub, queues, or streaming platforms.","Preferred experience with MLflow, Airflow, Kubeflow, Feast, feature stores, vector databases, embedding pipelines, retrieval systems, batch and online inference, generative AI, LLMs, multimodal AI, GPU optimization, distributed computing, CI/CD, infrastructure-as-code, or open-source data and AI projects.","Bachelor’s or master’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.",[307,308,309,310,311,312,313],"Build data preparation, feature generation, training, validation, deployment, and inference pipelines for production ML systems.","Design, build, and operate ETL/ELT pipelines from real-time event streams, third-party APIs, and media-rich sources into lakehouse systems.","Deploy, monitor, troubleshoot, and operate containerized data services and distributed processing workloads on Kubernetes.","Develop SDKs, APIs, and reusable frameworks for engineering and research teams.","Implement data validation, reconciliation, monitoring, catalogs, and metadata governance.","Design observability systems with monitoring, alerting, and logging for pipelines and infrastructure.","Own throughput, latency, reliability, cost, data versioning, and reproducibility across ML and data workflows.",[315,316],"Flexible Flex Work approach supporting where, when, and how employees work best.","Collegial culture, challenging projects, significant ownership, recognition for work, and excellent compensation and benefits.","http://www.dolby.com",{"_17":319,"_19":320,"_21":321,"_23":322,"_25":323,"_27":324,"_29":-5,"_30":-5,"_31":325,"_34":326,"_36":327,"_38":327,"_39":-5,"_40":328,"_42":329,"_44":330,"_46":47,"_48":121,"_49":122,"_51":174,"_52":331,"_55":332,"_58":333,"_59":334,"_72":336,"_74":344,"_76":351,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":87,"_88":159,"_89":7,"_90":353},"8e7d1777-343c-44fc-8cc4-225aaf8de215","Custom Software Engineer","https://accenture.wd103.myworkdayjobs.com/AccentureCareers/job/Bengaluru/Custom-Software-Engineer_ATCI-5770065-S2068082-1","Project Role : Custom Software Engineer
Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.
Must have skills : Informatica Administration
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Custom Software Engineer, a typical day involves creating tailored software solutions by designing, coding, and improving various components within systems or applications. The role requires working with contemporary frameworks and following agile methodologies to ensure the delivery of scalable and efficient solutions that meet unique business requirements. Collaboration with different teams and continuous refinement of software elements are integral parts of the daily workflow, fostering innovation and responsiveness to evolving project needs.

Roles & Responsibilities:
- Expected to be an SME, collaborate and manage the team to perform.
- Responsible for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for their immediate team and across multiple teams.
- Lead efforts to identify and implement process improvements that enhance team productivity and software quality.
- Mentor junior team members to support their professional growth and integration within the team.

Professional & Technical Skills:
- Must To Have Skills: Proficiency in Informatica Administration.
- Strong knowledge of system integration and data management principles.
- Experience in troubleshooting and resolving complex software issues.
- Ability to optimize performance and scalability of software components.
- Familiarity with agile software development lifecycle and best practices.

Additional Information:
- The candidate should have minimum 5 years of experience in Informatica Administration.
- This position is based at our BDC7C - SEZ office.
- A 15 years full time education is required.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

","Custom Software Engineer responsible for developing, enhancing, and optimizing tailored software solutions, with a primary focus on Informatica Administration. The role operates as a subject-matter expert who collaborates across teams, makes technical decisions, and mentors junior engineers.","This role develops and improves software components across systems and applications using modern frameworks and software development practices. The primary technical requirement is proficiency in Informatica Administration, along with knowledge of system integration, data management, troubleshooting, and performance optimization. The engineer is expected to serve as an SME, guide team decisions, collaborate across multiple teams, and implement process improvements. Responsibilities also include mentoring junior team members and supporting scalable, high-performing software solutions. The position requires at least five years of Informatica Administration experience and is based at the BDC7C - SEZ office.",[33],"2026-09-07T00:00:00+00:00","2026-09-07T13:36:53.021765+00:00","Accenture","accenture","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/82413acf-f1d2-41bf-89ff-7f317ced1afc.jpg",[54],[57],[128],[335],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[337,338,339,340,341,342,343],"At least 5 years of experience in Informatica Administration.","Proficiency in Informatica Administration.","Strong knowledge of system integration and data management principles.","Experience troubleshooting and resolving complex software issues.","Ability to optimize software component performance and scalability.","Familiarity with software development lifecycle practices and contemporary frameworks.","15 years of full-time education is required.",[345,346,347,348,349,350],"Develop, design, code, and enhance custom software components across systems and applications.","Serve as a subject-matter expert and collaborate with and manage the team to perform.","Make team decisions and contribute to key decisions across multiple teams.","Troubleshoot and resolve complex software issues while optimizing performance and scalability.","Identify and implement process improvements that enhance team productivity and software quality.","Mentor junior team members and support their professional growth.",[352],"The position is based at the BDC7C - SEZ office.","https://www.accenture.com",{"_17":355,"_19":270,"_21":356,"_23":357,"_25":358,"_27":359,"_29":-5,"_30":-5,"_31":360,"_34":326,"_36":361,"_38":361,"_39":-5,"_40":278,"_42":279,"_44":280,"_46":47,"_48":121,"_49":50,"_51":174,"_52":362,"_55":363,"_58":364,"_59":365,"_72":367,"_74":373,"_76":380,"_82":-5,"_83":-5,"_84":-5,"_85":-5,"_86":158,"_88":159,"_89":121,"_90":317},"df4d0414-e420-4a22-a05a-c9426bbef0d5","https://careers.dolby.com/job/Bangalore-Senior-AIML-Engineer/1427171800/","

About the Role

What You'll Do

Run production workloads on Kubernetes. Deploy, monitor, and troubleshoot containerized data services and distributed processing applications in cloud-native Kubernetes environments.

Develop platform and data products. Build SDKs, APIs, and reusable frameworks that make it easy for other engineering and research teams to access data and adopt the platform.

Improve observability and operational health. Design monitoring, alerting, and logging for pipelines and infrastructure. You'll be expected to catch problems before users do.

What You Bring

Required

5+ years in data engineering, data platform engineering, AI engineering or a closely related field.
Expert-level proficiency in at least one major programming language such as Python, Scala, or Java.
Production ML/AI pipelines: you have personally built or co-built pipelines that took models through training, testing, validation, and deployment into production.
Databricks: hands-on production experience with Lakehouse architecture, Delta Lake, Spark optimization, and Workflows. Experience managing large-scale, heterogeneous datasets on Databricks.
Ray / Apache Spark (or equivalent distributed processing framework): deep, production-scale experience building and optimizing data pipelines.
Kubernetes: hands-on experience deploying, operating, and troubleshooting production workloads - not just deploying onto clusters, but understanding how they run.
Cloud platforms: strong experience with AWS, GCP, or Azure and their data services.
SQL Mastery: Advanced SQL skills for data manipulation, analysis, and optimization.
Database Knowledge: Solid understanding of relational and NoSQL databases.
Data Architecture: solid understanding of data modeling, schema design, and lake/lakehouse/warehouse patterns.
Event-driven systems: Experience with messaging, pub/sub, queues, or streaming platforms.

Preferred

Experience with MLOps tooling (MLflow, Airflow, Kubeflow, Feast, or similar).
Familiarity with feature stores, vector databases, embedding pipelines, or retrieval systems.
Experience on batch and online inference workloads with an understanding of latency sensitive environments.
Experience supporting generative AI, LLM, or multimodal AI workloads.
Optimized GPU utilization during model training or fine-tuning.
Understanding of distributed computing fundamentals - concurrency, consistency and fault tolerance.
CI/CD practices and Infrastructure-as-Code.
Contributions to open-source data or AI projects.

Education

Master’s or Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.

\n ","Senior AI/ML Engineer building and operating large-scale data pipelines, ML platforms, and production AI systems at Dolby. The role spans ingestion, model deployment, Kubernetes operations, data quality, and platform services across high-volume entertainment data.","Design and own ML-ready data systems, including feature generation, training, validation, deployment, and inference pipelines. Build ETL/ELT pipelines that ingest real-time events, third-party APIs, and media-rich data into Databricks lakehouse environments. Operate production workloads on Kubernetes and develop SDKs, APIs, reusable frameworks, monitoring, and governance processes for engineering and research teams. The role requires 5+ years of relevant experience, advanced programming and SQL skills, and hands-on experience with Databricks, distributed processing, cloud platforms, databases, and event-driven systems. Preferred experience includes MLOps tooling, feature stores, vector databases, generative AI, GPU optimization, and distributed computing.",[33],"2026-09-07T07:38:06.712076+00:00",[54],[57,283],[285,286,127,287,288,183,129,188,289,132,290,245],[366],{"_17":54,"_62":63,"_64":65,"_66":67,"_68":69,"_70":71},[294,368,296,369,370,299,300,301,302,303,371,372],"Expert proficiency in at least one of Python, Scala, or Java.","Production experience with Databricks Lakehouse, Delta Lake, Spark optimization, Workflows, and large-scale heterogeneous datasets.","Deep production-scale experience with Ray, Apache Spark, or an equivalent distributed processing framework.","Preferred experience with MLflow, Airflow, Kubeflow, Feast, feature stores, vector databases, embedding pipelines, retrieval systems, batch and online inference, generative AI, LLMs, multimodal AI, GPU optimization, distributed computing, CI/CD, Infrastructure-as-Code, or open-source data and AI projects.","Master’s or Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience.",[374,375,376,377,378,379],"Build data preparation, feature generation, training, testing, validation, deployment, and inference pipelines for production ML workflows.","Design, build, and operate ETL/ELT pipelines ingesting real-time event streams, third-party APIs, and media-rich sources into a lakehouse architecture.","Deploy, monitor, troubleshoot, and maintain containerized data services and distributed processing workloads on Kubernetes.","Develop SDKs, APIs, and reusable platform frameworks for engineering and research teams.","Implement data validation, reconciliation, governance, catalogs, metadata, monitoring, alerting, and logging.","Own throughput, latency, reliability, cost, and operational health for production data and AI systems.",[315,381],"Collegial culture, challenging projects, recognition for work, and excellent compensation and benefits.","actionData","errors"]

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