Senior DevOps Engineer
Senior DevOps Engineer designs and operates AWS-based internal platforms for deployment, observability, and AI-assisted workflows. Requires 4+ years experience with Terraform, containers, serverless, CI/CD, and distributed systems reliability.
About the job
Responsibilities
- Design and maintain Infrastructure as Code using Terraform to provision and manage AWS infrastructure.
- Build and evolve internal developer platforms (IDPs) with self-service workflows for deployment, environment provisioning, and operational tooling.
- Support self-serve developer environments for engineers and AI agents.
- Enable and scale AI-assisted engineering operations, including access management and developer productivity measurement.
- Improve system reliability, scalability, and performance across distributed services and real-time workloads.
- Optimize CI/CD systems (GitHub Actions) to reduce deployment friction.
- Operate production systems with ownership of uptime, incident response, and recovery automation.
- Partner with engineering teams to improve service architecture, resiliency, and operational maturity.
- Improve cost efficiency and infrastructure utilization.
- Support secure and compliant cloud infrastructure (SOC2).
Requirements
- 4+ years of experience in DevOps, Platform Engineering, or Cloud Infrastructure roles.
- Deep experience operating production workloads on AWS.
- Strong hands-on experience with Terraform or comparable IaC tooling.
- Experience running containerized (ECS Fargate) and serverless (Lambda) systems at scale.
- Strong understanding of distributed systems reliability and failure modes.
- Experience building CI/CD pipelines and developer automation tooling.
- Experience with observability platforms such as Datadog, Prometheus, or OpenTelemetry.
- Familiarity with incident response, on-call operations, and production debugging.
- Working knowledge of networking, IAM, and cloud security best practices.
Nice to Haves
- Experience building or operating Internal Developer Platforms (IDPs).
- Experience with self-serve developer environments at scale.
- Exposure to AI coding tools and infrastructure.
- Experience supporting AI/ML or real-time workloads.
- Cost optimization and cloud efficiency initiatives.
- Exposure to compliance frameworks (SOC2, HIPAA, PCI).
Benefits
- Medical, Dental, and Vision plans - 80% covered.
- Flexible PTO & 11 paid holidays.
- 401k Plan.
- Paid parental leave.
- Pre-tax commuter benefits.
- In-office breakfast and snacks, happy hours, team outings.
Skills
AWS, Terraform, Python, TypeScript, Ecs Fargate, AWS Lambda, Datadog, GitHub Actions, Aurora Postgres, DynamoDB, Kinesis, SQS, Kubernetes, SageMaker
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