Software Development Engineer, AWS Network Data Management and Research
Amazon is hiring a Software Development Engineer, AWS Network Data Management and Research 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.
- The listed pay starts close to the typical software engineer posting on Level.
- Tools and skills the posting cites include Clickhouse, Kubernetes and Grafana.
- Level classifies it as a senior role.
- Level lists 21,000+ other open roles at Amazon.
AI in this role
Set technical direction for Mentat, a real-time network analytics engine, and manage data exchange services.
Key job responsibilities
As a Senior SDE on DMR, you set the technical direction for the platform and own the architecture of our most critical systems. You take the hardest, most ambiguous problems spanning multiple services and teams, turn them into clear multi-quarter plans, and deliver them through other engineers. You are a force multiplier: your designs, standards, and judgment raise the quality of everything the team ships, and your influence reaches well beyond DMR into partner and customer teams across Networking. This is a hands-on senior IC role where your leverage comes from architecture, direction setting, and developing other engineers rather than from individual output alone.
A day in the life
A typical day moves between deep technical work and org-level influence. You review and shape the architecture for a cross-service initiative such as the Mentat global rollout or long-term storage, then meet with partner teams across Alerts, SET, CET, and NetOS/NPD to align on dependencies and sequencing. You spend focused time on the hardest design problem on the roadmap, write the document that unblocks several engineers, and leave inline guidance on a design review that sets the pattern others will follow. You dive deep on a recurring operational risk, decide where the team should and should not invest, and make a durability or cost call that holds for the next several quarters. You mentor other engineers toward their next level, interview for senior roles, and represent DMR's technical strategy in broader Networking forums. Fridays are meeting-free, so you protect that time for architecture and writing.
About the team
DMR owns and operates the Data Exchange Services for AWS Networking. We run a stream-first, centrally operated data platform where partner teams co-locate their part of the network data working set, enriched and transformed in memory for real-time use, and indexed and compacted in the datalake for analytics.
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 Network Data Management and Research at Amazon rates 10 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
Pay
- This job starts at
- $168k
- Typical software engineer job
- $168k
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 analytics was part of your work. What did you do?
- Tell me about a project where software architecture was part of your work. What did you do?
- Tell me about a project where aws was part of your work. What did you do?
- Walk me through how you've used Clickhouse in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Distributed Systems, Data Analytics, Software Architecture, AWS, and Clickhouse. 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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