Amazon Development Center U.S., Inc.
Technology
Sr.SystemDevelopmentEngineer,CloudAI/ML/storageserverteams
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“Sr. System Development Engineer, Cloud AI/ML/storage server teams at Amazon Development Center U.S., Inc.. Skills: Systems Development, Automation, Cloud AI/ML, Storage Servers. Lead development of automation software. Lead development of diagnostic tooling”
What You'll Achieve.
Zero-touch operations; Reduce reliance on manual triage; Rapid deployment of code changes
Industry & Context.
Complex architectural problems; Debugging; Troubleshooting; Root cause analysis; Problem decomposition
What They're Looking For.
Must Have
6+ years software development experience, 6+ years systems design experience, 6+ years operations experience, 6+ years process improvement experience, 6+ years architecting systems experience, 5+ years programming experience, Experience with Linux/Unix
Nice to Have
Knowledge of engineering practices, Experience with coding standards, Experience with code reviews, Experience with source control management, Experience with build processes, Experience with testing, Experience with certification, Experience with livesite operations, Experience leading software solutions, Familiarity with server hardware architecture, Familiarity with BMC/IPMI, Familiarity with firmware, Familiarity with PCIe topology, Familiarity with NVLink, Familiarity with hardware diagnostics, Experience working with ODMs, Experience building zero-touch automation, Experience building self-healing automation, Experience working in large-scale datacenter, Experience working in cloud environments, Track record of rapidly coming up to speed, Experience with hardware bring-up, Experience with validation, Experience with fleet-wide deployment, Familiarity with telemetry pipelines, Familiarity with anomaly detection, Familiarity with operational metrics
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
Drive zero-touch operations
Detect hardware issues
Diagnose hardware issues
Resolve hardware issues
Identify system deficiencies
Solve issues before customer impact
Decompose server problems
Lead delivery of solutions
Collaborate with SDEs
Collaborate with SDETs
Collaborate with Hardware Engineers
Collaborate with TPMs
Collaborate with Managers
Collaborate with Principals
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
Identify hardware issues using telemetry
Identify hardware issues using sensor data
Identify hardware issues using error trending
Identify hardware issues using log correlation
Build automation for fault remediation
Develop monitoring tools
Develop alerting systems
Provide visibility into fleet health
Define fleet health metrics
Track fleet health metrics
Debug system-level issues
Resolve system-level issues
Troubleshoot Linux boot failures
Troubleshoot Linux runtime failures
Perform root cause analysis
Correlate across firmware
Correlate across kernel
Correlate across driver
Correlate across physical layer
Isolate hardware faults
Build diagnostic tooling
Automate root cause identification
Reduce reliance on manual triage
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 scalable system-level software
Develop device drivers
Maintain device drivers
Build automation solutions
Work with OS internals
Work with storage subsystems
Work with accelerator/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 loop between field failures and design
How You'll Work.
Team & Collaboration
Across multiple teams; Across organizations; With SDEs; With SDETs; With Hardware Engineers; With TPMs; With Managers; With Principals; With ODMs; With Design Partners; With internal HWEng teams; With internal customers; With datacenter operations teams
Process & Methodology
Agile, Scrum, Kanban
Full Job Description
We are seeking an experienced 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 - Drive toward zero-touch operations — bui
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