2 months ago
Base Salary
$168k - $227k/yr
Responsibilities
- Own the end-to-end technical vision, architecture, and multi-year roadmap for the MOSAIC Data Platform.
- Lead large-scale, ambiguous initiatives such as regional launches, platform re-architectures, and compliance framework overhauls across multiple teams and organizations.
- Establish team-wide engineering standards for API design, operational readiness, and CI/CD pipeline maturity.
- Identify systemic risks, scaling bottlenecks, and operational gaps and drive solutions that reduce incidents and operational toil.
- Serve as the primary technical contact for AI service, compliance, security, infrastructure, and other cross-organizational stakeholders.
- Mentor engineers, lead design reviews, provide career development coaching, and establish technical growth paths.
- Act as the senior escalation path for high-severity incidents, author organization-level COEs, and improve LORE compliance maturity.
- Contribute to architecture forums, bar-raising initiatives, and distributed-systems thought leadership across the organization.
Requirements
- At least 5 years of non-internship professional software development experience.
- At least 5 years of programming experience with at least one software programming language.
- At least 5 years of experience leading the design or architecture of new and existing systems, including design patterns, reliability, and scaling.
- Experience mentoring engineers, serving as a tech lead, or leading an engineering team.
- Preferred experience with the full software development lifecycle, including coding standards, code reviews, source control, build processes, testing, and operations.
- Preferred experience building data platforms, data lakes, or ETL/ELT systems at scale.
- Preferred familiarity with GDPR, PCI, SOC, ISO, and HIPAA compliance frameworks.
- Preferred experience operating multi-region, latency-critical services with sub-10ms p90 SLAs.
- Preferred background in ML/AI data infrastructure, data flywheel automation, model training data pipelines, or dataset management systems.
- Preferred experience with event-driven architectures and streaming data pipelines.
Benefits
- Flexible work hours and arrangements are part of AWS’s work-life balance culture.
- Employee-led affinity groups, inclusion events, and learning experiences support an inclusive team culture.
- Mentorship, knowledge-sharing, and career-advancement resources are available.
- Benefits include health insurance, life and AD&D insurance, employee assistance and mental health support, medical advice services, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- The position is based in Seattle, Washington, USA.
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.