Own uptime (99.9%+), observability, incident response, and root cause analysis
Deep AWS stack: EC2 (including GPU), ECS/Fargate, SQS, Lambda, S3, CloudFront, API Gateway, RDS/DynamoDB — plus VPC design, IAM, autoscaling, and monitoring
Build the plumbing: retry logic, idempotency, checkpointing, parallel orchestration
Chase down performance problems: Queue bottlenecks, cold starts, LLM latency, runaway costs
Help the team ship faster: CI/CD, infrastructure-as-code (Terraform/CDK/Pulumi), clean containerization, and proper staging environments

Requirements

8+ years in infrastructure / DevOps / production engineering
Deep AWS expertise (not just “used it” — architected at scale)
Experience running production ML or AI systems
Experience with asynchronous distributed systems
Strong knowledge of: ECS / Fargate, EC2 (including GPU instances), SQS, S3, VPC networking, and IAM best practices
Strong understanding of: Containerization (Docker), CI/CD pipelines, Infrastructure as Code and observability systems
Experience debugging production incidents and designing fault-tolerant systems

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

AWSEC2ECSFargateSQSLambdaS3CloudFrontRDSDynamoDB

Soft Skills

incident responseroot cause analysisperformance optimizationteam collaborationproblem-solving