AmazonSoftware Development Engineer, AWS Lambda
Amazon is hiring a Software Development Engineer, AWS Lambda in Seattle, United States. It pays $168k-$227k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this software engineer role Little AI ●○○○: aI is not part of the work.
- Pay on this posting starts in line with the typical software engineer posting on Level.
- The posting mentions Grpc, AI agents and distributed systems among its tools and skills.
- Level classes it as a senior role.
- Amazon has 21,000+ other open roles on Level.
AI in this role
Senior engineer to lead architecture and design of large-scale, low-latency data plane systems for AWS Lambda.
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.
Basic 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
Preferred qualifications
- 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
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually
How we rate this
Software Development Engineer, AWS Lambda at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $168k
- Typical software engineer job
- $167k
This posting starts close to the typical software engineer job. See software engineer jobs
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where low latency was part of your work. What did you do?
- Tell me about a project where serverless was part of your work. What did you do?
- Tell me about a project where data plane was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Distributed Systems, Low Latency, Serverless, and Data Plane. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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