AmazonSr. Software Development Engineer, Advanced Analytics
Amazon is hiring a Sr. Software Development Engineer, Advanced Analytics 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
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- The listed pay starts close to the typical software engineer posting on Level.
- Tools and skills the posting cites include AWS, distributed systems and data pipelines.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Senior software engineer needed to design and build foundational infrastructure and AI-driven data solutions for petabyte-scale advertising analytics.
Transparency is reshaping programmatic advertising. As the ecosystem grows (with multiple layers in the ad buying and selling supply chain) advertisers demand granular visibility into every impression, bid, viewability score, and supply path. Log-level data makes this possible: raw, non-aggregated, event-level signals from ad servers, exchanges, and SSPs that unlock insights no dashboard summary can provide.
As a Senior Software Development Engineer on the Log-Level Data team, you will design and build the foundational infrastructure to ingest, process, store, and analyze this data at petabyte scale. Your systems will power our organization's ability to understand auction dynamics, surface revenue opportunities, optimize floor pricing, and deliver supply-chain transparency to Amazon's largest advertising partners. You'll own end-to-end, from architecture and implementation through to production operations, and your work will directly shape the next generation of advertising measurement.
What we're looking for:
You are a creative, proven technical leader who thrives on ambiguity and loves building from zero-to-one. You bring deep expertise in distributed systems and large-scale data processing, strong analytical instincts, and the drive to ship high-quality solutions at pace. You think strategically about system architecture and dive deep into implementation details. You balance competing priorities with pragmatic trade-offs, communicate clearly across technical and business audiences, and hold yourself and your team to a high bar for code quality and operational excellence.
If you're excited by the chance to build foundational infrastructure that powers transparency across one of the world's largest advertising platforms, we'd love to talk.
Key job responsibilities
- Design and build highly scalable, fault-tolerant data pipelines to ingest, process, and store petabyte-scale log-level advertising data from multiple sources including ad servers, exchanges, and SSPs
- Architect distributed systems that enable real-time and batch processing of granular event-level data with sub-second latency requirements
- Develop robust data quality frameworks to validate, cleanse, and enrich raw log data while maintaining data lineage and audit trails
- Create efficient storage solutions optimized for both high-throughput writes and complex analytical queries across massive datasets
- Build APIs and data access layers that enable downstream analytics, modeling, and reporting applications to leverage log-level data
- Collaborate with data scientists, product managers, and business stakeholders to translate transparency and measurement requirements into technical solutions
- Establish operational excellence practices including monitoring, alerting, and automated recovery mechanisms for mission-critical data infrastructure
- Mentor junior engineers and contribute to the technical direction of the team through design reviews, code reviews, and architectural discussions
- Drive innovation in data processing techniques, exploring emerging technologies and methodologies to improve system performance and capabilities
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, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience using managed ML/AI solutions
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
Sr. Software Development Engineer, Advanced Analytics at Amazon rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where data pipelines was part of your work. What did you do?
- Tell me about a project where big data was part of your work. What did you do?
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where analytics was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Data Pipelines, Big Data, Software Engineering, and Analytics. 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.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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