Software Development Engineer, AWS Lambda

- 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
Serverless technologies are dramatically changing the business landscape for AWS customers large and small. AWS Lambda changed how the world builds software. Developers write code, and Lambda runs it: no servers to provision or patch, and no capacity to plan. Every month, Lambda runs trillions of invocations for millions of customers, from startups to the largest enterprises. It powers web backends, APIs, data pipelines, event-driven apps, and AI agents.

We're looking for experienced engineers to help lead our global-scale Lambda data plane. The data plane is the set of distributed systems that receive, route, place, scale, and run every function invocation. It has to be fast, secure, and highly available at huge scale. We're also taking serverless into new areas. That includes new compute options like Lambda Managed Instances, first-class support for web applications, and richer ways to process events at scale. As a senior engineer, you'll set the technical direction for these capabilities and turn it into production systems. A successful team member will exhibit creativity, empathy, and optimism as we push the boundaries of serverless computing in the cloud. We are inspired by what has come before and motivated to create what comes next.

You'll thrive in this role if you are interested in large scale, fault-tolerant distributed systems, low latency request processing, and p100 anomalies. You are capable in one or more programming languages and open to learning new ones. You include customer experience when discussing engineering alternatives and value creating APIs that make "the right thing, the easy thing." You value operational sustainability and advocate for eliminating flaky tests as soon as possible. You also think having fun goes together with tackling hard problems like supercomputing, high availability, and building loosely coupled gRPC-based microservices, all while continuing to securely and reliably handle massive traffic with millisecond latency.

Key job responsibilities
- Lead the architecture and design of large-scale, highly available, low-latency data plane systems that handle customer traffic across AWS Regions
- Set technical direction across teams, balancing near-term delivery with long-term architecture, and influence the Lambda roadmap
- Own complex, ambiguous problems end to end, from customer need to design, implementation, deployment, and operations
- Drive major improvements in invoke latency, scaling speed, efficiency, security, and resilience
- Help define and deliver new serverless compute experiences for web, event-driven, and instance-based workloads
- Mentor engineers, lead design and code reviews, and raise the engineering bar across the organization
- Lead operational excellence: set standards for observability, deployment safety, and incident response, and drive lasting fixes
- Work with product managers, engineering leaders, and partner AWS teams to deliver results for customers

A day in the life
You might start the day leading a design review for a new scaling mechanism, spend the afternoon digging into a tail-latency problem across the invoke path, and wrap up mentoring an engineer through their first major design document. You'll work directly with customer feedback and production metrics, and your decisions will shape how Lambda evolves over the next several years.


About the team
AWS Lambda is part of AWS Serverless Compute. The Lambda data plane teams own the core invoke path, the worker fleet and virtualization layer, scaling and placement, event processing, and new compute models such as Lambda Managed Instances. We value ownership, operational excellence, and simplicity, and we invest in growing engineers at every level.