about 3 hours ago
Responsibilities
- Own and evolve AWS infrastructure using Infrastructure-as-Code.
- Architect and scale AWS environments.
- Deploy and manage containerized workloads using Kubernetes and Docker.
- Lead deployment and release processes using CI/CD tools.
- Define and enforce SLOs, SLIs, and error budgets.
- Drive full utilization of monitoring tools like Datadog.
- Build self-service internal developer platforms.
- Take end-to-end ownership of infrastructure projects.
- Partner with engineering teams on long-term technical planning.
- Integrate AI-assisted engineering practices into workflows.
- Document work and provide cross-training to peers.
- Resolve JIRA tickets related to cloud and deployments.
Requirements
- At least 6 years of experience as a DevOps/SRE engineer in a cloud environment.
- Hands-on, production-level AWS experience.
- Experience with Kubernetes and containerization.
- Proficiency in Terraform/Terragrunt or similar tools.
- Strong Bash scripting skills.
- Deep understanding of SRE principles.
- Strong incident management and on-call experience.
- Solid understanding of APIs, microservices, and distributed systems.
- Demonstrated experience leading projects end-to-end.
- Effective communication skills across teams.
- Practical experience with AI-assisted engineering tools is a plus.
- Experience building AI/ML infrastructure is a plus.