Amazon.com Services LLC
Systems, Quality, Security Engineering, System Development Engineering, Cloud Computing
Sr.SystemDevelopmentEngineer,AL/ML/Storageserverteam
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. System Development Engineer, AL/ML/Storage server team at Amazon.com Services LLC. Skills: Automation, System development, Fleet health, AI/ML. Lead development of automation software. Lead development of diagnostic tooling”
What You'll Achieve.
Detect issues without human intervention; Diagnose issues without human intervention; Resolve issues without human intervention; Reduce reliance on manual triage; Improve manufacturing throughput; Improve yield
Industry & Context.
Problem solving; Debugging; Troubleshooting; Root cause analysis
What They're Looking For.
Must Have
6+ years software development experience, 6+ years systems design experience, 6+ years software development experience, 6+ years operations experience, 6+ years process improvement experience, 6+ years designing systems experience, 6+ years architecting systems experience, 5+ years programming experience, Experience with Linux/Unix, Experience leading design, Experience leading build, Experience leading deployment
Nice to Have
Knowledge of engineering practices, Knowledge of coding standards, Knowledge of code reviews, Knowledge of source control management, Experience building zero-touch automation, Experience building self-healing automation, Experience in large-scale datacenter environments, Experience in cloud environments, Track record of rapidly coming up to speed, Experience with hardware bring-up, Experience with fleet-wide deployment, Familiarity with telemetry pipelines, Familiarity with anomaly detection, Familiarity with operational metrics, Familiarity with manufacturing workflows, Familiarity with yield improvement optimization
What You'll Do.
Lead development of automation software
Lead development of diagnostic tooling
Lead development of fleet health infrastructure
Build scalable systems
Build reliable systems
Proactively identify deficiencies
Solve issues before customer impact
Decompose server problems
Lead delivery through others
Collaborate with roles and organizations
Drive quality into designs
Drive reliability into designs
Work with Design Partners
Ensure tooling requirements are met
Ensure diagnostics requirements are met
Ensure automation requirements are met
Build automation infrastructure
Own automation infrastructure
Design predictive failure detection systems
Implement predictive failure detection systems
Drive toward zero-touch operations
Build automation that detects faults
Build automation that diagnoses faults
Build automation that remediates faults
Develop monitoring tools
Develop alerting systems
Define fleet health metrics
Track fleet health metrics
Debug system-level issues
Resolve system-level issues
Troubleshoot Linux boot failures
Troubleshoot runtime failures
Perform root cause analysis
Correlate across firmware
Build diagnostic tooling
Automate root cause identification
Reduce reliance on manual triage
Improve manufacturing throughput
Lead definition of software
Lead development of software
Lead definition of automation
Lead development of automation
Lead definition of enabling tools
Lead development of enabling tools
Design system-level software
Build system-level software
Develop device drivers
Maintain device drivers
Build automation solutions
Work with OS internals
Work with storage subsystems
Work with accelerator software stacks
Work with GPU software stacks
Build CI/CD pipelines
Manage CI/CD pipelines
Deploy CI/CD pipelines
Work across internal HWEng teams
Ensure new hardware addresses functionality
Work closely with internal customers
Identify potential problems onboarding servers
Engage with design partners
Contribute to server design
Improve diagnosability
Partner with datacenter operations teams
Close the loop between field failures and design
How You'll Work.
Team & Collaboration
Across multiple teams; Across organizations; With ODMs; With Design Partners; Internal HWEng teams; Internal customers; Datacenter operations teams
Full Job Description
Application deadline: Jun 15, 2026 We are seeking an experienced Senior Systems Development Engineer to lead the development of automation software, diagnostic tooling, and fleet health infrastructure for our server platforms. You will work across multiple teams and organizations to build scalable, reliable systems that keep our storage and accelerated (AI/ML) compute fleet healthy — with a vision toward zero-touch operations where automation detects, diagnoses, and resolves issues without human intervention. You will be a technical leader solving complex architectural problems that may not be well-defined in advance. You will own your team's systems, proactively identify deficiencies, write scalable and robust code to solve issues before they impact customers. You will decompose large, difficult server testability, reliability, and diagnosis problems into straightforward tasks and components — leading delivery yourself and through others in parallel — using a combination of hardware, software, system design, processor architecture, diagnostics, and operations knowledge. You will collaborate with a variety of roles (SDEs, SDETs, Mechanical/Electrical/Hardware Engineers, TPMs, Managers, Principals) and organizations through server conception, test validation, qualification, launch, and operations — driving high quality and reliability into current and future designs for AWS server solutions. You will also work closely with ODMs and Design Partners to ensure our tooling, diagnostics, and automation requirements are met throughout the hardware development lifecycle (NPI). Key job responsibilities Fleet Health & Predictive Infrastructure - Build and own the automation infrastructure responsible for the health of the server fleet across storage and accelerator (AI/ML) compute platforms - Design and implement predictive failure detection systems using telemetry, sensor data, error trending, and log correlation to identify hardware issues before they cause customer impact
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