Senior Software Development Engineer, AWS Analytics Engineering

Socket.dev; Seattle (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

paid time off

parential leave

sign-on payments

restricted stock units (RSU)

Job summary

Amazon is seeking a Senior Software Development Engineer to join AWS Analytics Engineering in Seattle, responsible for designing, implementing, and operating distributed systems that process petabyte-scale data and power AI features. You will collaborate with data engineers, scientists, product managers, and business analysts to deliver scalable solutions across AWS services.

You will mentor engineers, drive architectural decisions, and own platform capabilities end-to-end, including real-time

Qualifications

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

Responsibilities

• Own and evolve system architecture. Design and implement scalable, secure, and cost effective distributed systems for workflow orchestration and AI powered analytics.
• Drive architectural decisions that impact petabyte scale data processing and thousands of jobs.
• Build multi agent AI systems 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.

Skills

Software development

Mentoring

Architecture design

Team leadership

Education

Bachelor's degree in Computer Science or equivalent

Job description

We are seeking a Senior 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.

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

• 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
• Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence

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.

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.

• 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
• parental leave
• sign-on payments
• restricted stock units (RSU)

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, WA, Seattle - 168,100.00 - 227,400.00 USD annually