Senior Software Engineer, AI-Driven Cloud Optimization

Amazon Inc.

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

7 days ago

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Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon is seeking a Sr. Software Dev Engineer for AWS Insights and Optimizations in Seattle to own and evolve the public API surface used for enrollment, recommendations, data export, and environment optimization across accounts.

You will design for agent-centric usage, enabling MCP access, bulk operations, and machine-to-machine authentication while supporting large-scale, multi-tenant workloads. You will extend the platform to AI-driven spend optimization for compute and AI workloads, ensuring

Qualifications

5+ years of non-internship professional software development experience.
5+ years of programming with at least one software programming language experience.
5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience.
Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

Own the public API surface customers, partners, and other AWS services depend on to enroll, retrieve recommendations, export data, and express how they want their environment optimized, including the cross-account and organization-wide access model behind it.
Design for agents as first-class consumers: programmatic and MCP access, bulk and multi-step operations, machine-to-machine authentication, and capacity and throttling behavior that holds up under continuous automated load.
Extend the platform to AI and accelerated compute spend, including the question of what optimal even means for workloads whose usage patterns look nothing like a traditional server fleet.
Make recommendations explainable and self-diagnosable, so that customers and support teams can answer why a recommendation says what it says, or why it is missing, without an engineer in the loop.
Raise the operational bar: how we monitor, test, deploy, and expand across Regions and partitions, and how much of the recurring operational load we can automate away instead of absorbing.
Grow the engineers around you. Review designs, mentor, and write the documents that build consensus with stakeholders across organizations.
Work directly with product managers and with the teams building on your APIs to decide what to build, proactively identify what is blocking the team and what the platform will need as usage grows, before either becomes a constraint.