DevOps Engineer

Key Responsibilities:

• Build and optimize CI/CD pipelines using GitHub Actions, GitLab CI, Jenkins, or similar.
• Develop and maintain Infrastructure as Code with Terraform (and CloudFormation where needed), including modules, state management, and reusable design.
• Deploy and manage containerized workloads with Docker, Kubernetes, ECS, and EKS.
• Monitor platform health, investigate incidents, and drive improvements in reliability and performance.
• Implement secure cloud configurations: IAM, encryption, secrets management, logging, and network segmentation.
• Support observability using Prometheus, Grafana, CloudWatch, FluentBit, or OpenTelemetry.
• Partner with developers to improve release quality, deployment speed, and operational readiness.
• Continuously raise the bar on automation, documentation, and DevOps practices across the org.

Required Skills

• 5+ years in DevOps, SRE, or cloud infrastructure roles.
• Strong hands-on experience with AWS and cloud-native architecture.
• Solid expertise in Terraform (modules, state, reusable patterns).
• Proven experience designing and running CI/CD pipelines and release automation.
• Working knowledge of Docker, Kubernetes, and container deployment workflows.
• Scripting in Python, Bash, or similar.
• Solid grasp of monitoring, logging, alerting, and incident response.
• Strong security fundamentals: least-privilege access, secrets management, audit logging.

Preferred Experience

• Working in customer cloud accounts or multi-tenant environments.
• Compliance-aligned infrastructure: SOC 2, HIPAA, or HITRUST.
• Hands-on with ECS, EKS, ECR, Security Hub, GuardDuty, and modern observability stacks.
• Certifications such as AWS, CKAD, or other cloud/DevOps credentials.
• Experience in high-growth product or services environments where speed and ownership matter.

What Success Looks Like

• CI/CD pipelines are faster, more reliable, and reduce manual effort across teams.
• Infrastructure is automated, repeatable, and easy to scale across customer environments.
• Production systems show stronger uptime, observability, and faster incident response.
• Engineering teams ship confidently with mature release and operational support.
• Cloud environments meet security and compliance bars without slowing delivery.