System Development Engineer - Productivity Tools, Amazon Leo Productivity Engineering Application Services (ALPEAS)
Amazon is hiring a System Development Engineer - Productivity Tools, Amazon Leo Productivity Engineering Application Services (ALPEAS) in Bellevue, United States. It pays $129k-$175k a year and Level rates it ; you can apply on Amazon.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include AWS, Jama Connect and Jira.
- Level classifies it as a mid-level role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
System Development Engineer needed to own deployment, automation, and infrastructure for engineering productivity tools in AWS GovCloud.
Export Control: This position requires that the candidate selected be a U.S. Citizen in order to comply with U.S. government-imposed requirements related to the nature of the work and/or where it will be performed.
Amazon Leo Productivity Engineering Application Services (ALPEAS) is looking for a System Development Engineer to own the deployment, administration, and automation of productivity tools — primarily Jama Connect and related engineering collaboration platforms — within Amazon Leo. You will build and operate infrastructure in AWS GovCloud to support Leo's systems engineering, requirements management, and test management workflows at scale.
Key job responsibilities
- Jama Connect Operations: Deploy, configure, maintain, and scale Jama Connect infrastructure in AWS GovCloud, ensuring high availability, performance, and security compliance (ITAR/EAR).
- Infrastructure as Code: Design and implement CDK stacks for application infrastructure including compute (EC2/ECS), databases (RDS/Aurora), networking (VPC, PrivateLink, NLB), and storage.
- Automation & Integration: Build automation for user provisioning, access management, backups, patching, and monitoring. Develop integrations between Jama and other Kuiper tools (Jira, Confluence, Bitbucket, TestRail).
- Security & Compliance: Implement and maintain security controls compliant with ITAR and export control regulations. Manage access through least-privilege models.
- Monitoring & Incident Response: Build dashboards, alarms, and runbooks. Participate in on-call rotation to ensure service reliability.
- Tool Evaluation & Adoption: Evaluate, pilot, and onboard new productivity tools to support Kuiper's engineering workflows. Drive user training and adoption.
A day in the life
In this role, you will function as both an Jama/productivity tools DevOps Engineer. You will operate various collaboration tools stacks in AWS GovCloud, develop automation for upgrades/patching/testing, and enhance observability of the systems. You will work with stakeholders and senior engineers to design and develop custom solutions and integrations between the productivity tools and other services in a secure manner.
About the team
ALPEAS builds and operates the core productivity solutions supporting Leo's operations and engagements with business partners. Our services set the example for operational excellence and invisibly scale as the business grows, while maintaining the highest standards of security and regulatory compliance. We innovate on behalf of our customers to automate and simplify their workflows, enabling them to focus on high-value activities.
Basic qualifications
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience programming with at least one modern language such as Python, Ruby, Golang, Java, C++, C#, Rust
- Experience with Linux/Unix
- Experience with CI/CD pipelines build processes
Preferred qualifications
- Experience with Jama Connect or similar requirements management tools.
- Experience operating in AWS GovCloud or other regulated environments (ITAR, FedRAMP).
- Experience with Atlassian suite administration (Jira, Confluence, Bitbucket, Bamboo).
- Experience with container orchestration (ECS, EKS, Docker).
- Experience with database administration (PostgreSQL, Aurora).
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, VA, Arlington - 129,200.00 - 174,800.00 USD annually
USA, WA, Bellevue - 129,200.00 - 174,800.00 USD annually
How we rate this
System Development Engineer - Productivity Tools, Amazon Leo Productivity Engineering Application Services (ALPEAS) 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
Questions you could be asked
- Tell me about a project where devops was part of your work. What did you do?
- Tell me about a project where infrastructure as code was part of your work. What did you do?
- Tell me about a project where aws govcloud was part of your work. What did you do?
- Tell me about a project where systems engineering was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: DevOps, Infrastructure As Code, AWS Govcloud, Systems Engineering, and Automation. 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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