1 day ago
Base Salary
$168k - $227k/yr
Responsibilities
- Own the technical design, implementation, and operational health of platform capabilities and delivery workflows.
- Build production-grade software to help Proserve and Frontier AI teams understand customer context, develop solutions, coordinate delivery, and measure customer outcomes.
- Turn recurring customer needs into reusable software components, APIs, templates, and automation.
- Lead design reviews and make tradeoffs involving reliability, security, performance, cost, delivery speed, and maintainability.
- Build secure integrations with AWS services, internal platforms, customer systems, and governed data products.
- Establish testing, monitoring, logging, alerting, documentation, and incident-response mechanisms.
- Partner with Security Engineering and Product or Data Engineering on security requirements, risk remediation, instrumentation, event schemas, and data contracts.
- Mentor engineers, conduct code reviews, and raise the technical bar across engineering teams and Forward Deployed Engineering pods.
- Communicate technical decisions, risks, and delivery progress to engineering, product, go-to-market, and customer stakeholders.
Requirements
- 5+ years of non-internship professional software development experience.
- 5+ years of programming experience with at least one software programming language.
- 5+ years of experience leading the design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience as a mentor, tech lead, or engineering team leader.
- 3+ years of experience designing and building agentic orchestration or workflow-orchestration systems, including multi-step agent workflows, tool or service orchestration, or distributed-service state management.
- Preferred: 5+ years of full software development lifecycle experience covering coding standards, code reviews, source control, build processes, testing, and operations.
- Preferred: bachelor's degree in computer science or equivalent.
- Preferred: experience building AI/ML-powered product features, including evaluation, accuracy or precision tuning, or reducing hallucinations in production AI systems.
- Preferred: experience with security-by-design, row-level entitlements, or regulated-data handling such as PHI under a BAA.
- Preferred: experience integrating enterprise SaaS platforms such as Salesforce or governed data products.
Benefits
- Health insurance including medical, dental, vision, prescription, Basic Life and AD&D insurance, plus optional supplemental life plans.
- 401(k) matching, paid time off, and parental leave.
- Employee assistance, mental health support, medical advice line, flexible spending accounts, and adoption and surrogacy reimbursement coverage.
- Mentorship, knowledge-sharing, career development resources, flexible work-life culture, and employee affinity groups.
- The position is based in Seattle, Washington.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.