System Development Engineer II, OIS Command Center

We're seeking an experienced Principal Technical Program Manager to lead the Join us in building Reflex, the agentic incident management platform for Amazon's fulfillment network. You'll design and deliver AI agents on Amazon Bedrock AgentCore that triage high-severity incidents, scribe live bridge calls in real time, draft stakeholder communications, and automate post-incident documentation and reporting, shifting incident management from a manual, pull-based model to an intelligent, push-based one.

The OIS Command Center (OCC) is Amazon's 24/7 incident management function for high-severity incidents impacting fulfillment centers, delivery stations, and sortation centers worldwide, the infrastructure network that Amazon Robotics runs on. When this network degrades, robots stop and packages stop moving; OCC exists to make those minutes as short as possible. OCC manages roughly 1,500 high-severity incidents and triages some 14,000 alerts every year. Today, Incident Managers (IMs) continuously monitor signal feeds, engage resolver teams, and assemble a situational picture under time pressure before resolution work can even begin. Reflex changes that model fundamentally: agents watch the signals, assemble the context, and tell IMs when and how to engage, reserving human judgment for the decisions that actually need it.

This is a builder role with an operational edge. Most of your time goes to designing, building, and operating Reflex agents and the platform beneath them: the agent runtime and tool orchestration on Amazon Bedrock AgentCore, the LLM evaluation framework that gates each agent's path from human-reviewed to autonomous, and the observability layer that keeps production agents accountable. You'll also periodically join live incident bridge calls in an Incident Manager capacity, staying close to the operational reality your software serves and turning what you learn on-call into what you build next. Your customers sit one Slack channel away, and you'll experience the impact of what you ship on the very next incident call.

Key job responsibilities
- Design, build, test, and operate AI agents and supporting services on AWS (Amazon Bedrock AgentCore, serverless compute, event-driven pipelines) that automate incident triage, call scribing, communications, post-incident documentation, and operational reporting
- Own features end-to-end: from sitting with Incident Managers to understand the workflow, through design, implementation, evaluation, deployment, and production operation
- Build the platform foundations that gate agent autonomy, including LLM output evaluation, monitoring and alerting for agents in production, and identity and access controls aligned with Amazon standards
- Design the feedback loops through which agents learn from Incident Managers: capturing reviews, corrections, and approvals as evaluation signal, and turning resolved incidents into structured history that improves pattern matching, severity classification, and resolver routing over time
- Integrate Reflex with the incident ecosystem: ticketing, chat, telemetry, detection feeds, and live call transcription.
- Raise the bar on operational excellence, security, and quality for AI systems acting inside production incident workflows

A day in the life
You might start by reviewing overnight agent evaluation results and tuning a tool integration before shipping an improvement IMs see on the next incident. Later, you pair with an Incident Manager to observe how they used the scribing agent on a live call, turning their corrections into evaluation signal that moves the agent closer to autonomous posting. You also build the platform, design feedback loops, and integrate with ticketing, chat, and detection feeds. And periodically, you take a seat on a high-severity bridge call as an Incident Manager, because the best way to know what to automate next is to carry the workload firsthand.

Amazon offers a full range of benefits that support you and eligible family members, including domestic partners. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include:
1. Medical, Dental, and Vision Coverage
2. Maternity and Parental Leave Options
3. Paid Time Off (PTO)
4. 401(k) Plan

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team
The OIS Command Center (OCC) is Amazon's global, follow-the-sun incident management team within Operations Infrastructure Services, part of Amazon Robotics. OCC runs 24/7, managing roughly 1,500 high-severity incidents and triaging 14,000 alerts annually across fulfillment centers, delivery stations, and sortation centers worldwide. You'll join a small, high-ownership engineering team whose charter is to transform OCC from manual monitoring and documentation toward agentic automation that lets Incident Managers focus on leading calls rather than manual correlation.

Basic Qualifications

- 3+ years of non-internship professional software development experience
- 1+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Experience in automating, deploying, and supporting large-scale infrastructure
- Experience with Linux/Unix
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- Bachelor's degree in computer science or equivalent

Preferred Qualifications

- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- 5+ years of non-internship professional software development experience
- Experience building complex software systems that have been successfully delivered to customers, or experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in security operations, risk management, and incident response
- Experience with APIs and technical integrations
- Experience with distributed systems at scale

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, TN, Nashville - 122,800.00 - 166,100.00 USD annually
USA, VA, Arlington - 129,200.00 - 174,800.00 USD annually