AmazonPosted 6d ago

Software Development Engineer, AWS Analytics Engineering

Software Development Engineer, AWS Analytics Engineering at Amazon scores 90 out of 100 on AI centrality, which makes it a Level 4 role on this board.

US, WA, Seattleseniorfull-time$144k-$194k

AI in this role

Senior Software Development Engineer building multi-agent AI systems and GenAI-powered analytics capabilities at petabyte scale.

awsgenaillm

ai-agentsdistributed-systemsdata-engineeringmulti-agent-systemsworkflow-orchestration

We are seeking a Software Development Engineer to join our team and drive the next generation of our data platform and AI powered products at AWS scale. You will own end to end design, implementation, and operation of distributed systems that process petabyte scale data daily, serve hundreds of internal customers, and directly influence how AWS leadership makes decisions.

This is a high impact role where you will shape the architecture of both products, building workflow orchestration systems, multi agent AI frameworks, GenAI powered analytics capabilities, and scalable platform services. You will operate at the intersection of distributed systems, data engineering, and applied AI/ML.

Key job responsibilities
Own and evolve system architecture. Design and implement scalable, secure, and cost effective distributed systems for workflow orchestration and AI powered analytics. Make sound technical trade offs between short term delivery and long term maintainability.

Drive architectural decisions that impact petabyte scale data processing and thousands of jobs.

Build multi agent AI systems. Design, implement, and optimize multi agent architectures including autonomous agents, orchestration frameworks, and tool integrations

Build reusable components, APIs, and micro-services that other teams adopt. Continuously simplify, optimize, and remove bottlenecks across the stack.

Drive platform capabilities end to end. Own features from concept through deployment and operation. Examples include building new marketplace and IDE experiences, implementing validated query patterns, designing cross service governed metrics, or creating real time monitoring dashboards.

Solve complex ambiguous problems. Navigate unclear requirements and competing priorities to deliver innovative solutions.

Influence technical direction and mentor others. Provide technical leadership across the team and adjacent teams.

Drive operational excellence. Own the operational health of production systems.

Innovate with AI/ML technologies. Stay current with GenAI, LLM, and ML advancements.

A day in the life
As a Senior Software Development Engineer, you will work closely with your customers and stakeholders to understand their analytics needs, translating them into scalable technical solutions on our data platform. You will work with cross functional teams including data engineers, applied scientists, product managers, and business analysts. You will design and build distributed systems that orchestrate thousands of daily workflows and process petabyte scale data across AWS services. ou will spend time writing and reviewing code, diving deep into production issues, and mentoring engineers on best practices. You will participate in architecture design and review meetings to hold a high standard for our infrastructure. You will balance building new capabilities with operational excellence, ensuring our systems are reliable, secure, and performant at scale.

About the team
The AWS Analytics Engineering (AAE) organization is the analytics backbone of AWS. We build and operate the data platform that powers business decisions across all of AWS services. Every insight surfaced to AWS product leadership, from service adoption trends to revenue drivers, flows through systems our team designs, builds, and maintains.

We are a team of engineers and scientists supporting AWS product leaders to make high impact decisions through sophisticated analytical frameworks, trusted data science methods, and scalable ML products. We came from diverse backgrounds from statistics, computer science, engineering, and business analytics. We specialize in building data platforms that process at petabyte scale and the full end to end ML development process, from data ingestion to model deployment in production.

Basic qualifications

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language

Preferred qualifications

- 3+ 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 - 143,700.00 - 194,400.00 USD annually

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

AI AgentsDistributed SystemsData EngineeringMulti Agent SystemsWorkflow OrchestrationAwsGenaiLlm

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 data engineering was part of your work. What did you do?
Tell me about a project where multi agent systems was part of your work. What did you do?
Tell me about a project where workflow orchestration was part of your work. What did you do?

Adapt your resume

List these exact terms on your resume: AI Agents, Distributed Systems, Data Engineering, Multi Agent Systems, and Workflow Orchestration. 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.
Lead with what you built, trained or shipped — this role is judged on the AI system itself, not the tools around it.

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