Senior DevOps Engineer (AWS)

Job Summary
We are seeking a Senior DevOps Engineer to build and maintain the cloud infrastructure supporting our CI/CD pipelines and production services. You will work closely with software engineers, fellow DevOps engineers, and other team members to automate, scale, secure, and continuously improve our platform.

Key Responsibilities
Design, build, and maintain scalable, highly available, and secure infrastructure.
Automate CI/CD pipelines and manage deployments to staging and production environments.
Work with Kubernetes, Docker, and Helm for container orchestration and management.
Manage and implement Infrastructure-as-Code using Terraform and Terragrunt.
Set up and maintain monitoring and logging systems such as Prometheus, Grafana, and ELK/OpenSearch.
Collaborate across engineering teams to ensure platform reliability, performance, and scalability.
Maintain system security and implement DevOps and cloud infrastructure best practices.

Requirements
6+ years of experience as a DevOps Engineer in a production environment.
Strong Linux and networking fundamentals.
Proven experience working with managed cloud services, preferably AWS or GCP.
Strong proficiency with Docker, Kubernetes, and Helm.
Hands-on experience with Infrastructure-as-Code tools, including Terraform and Terragrunt.
Experience with CI/CD tools, preferably GitHub Actions and self-hosted runners.
Solid shell scripting skills and basic experience with Python or Go.
Familiarity with security principles and industry best practices.
Strong communication skills and the ability to work independently.

Expectations
Ownership: When identifying a problem, take an active role in driving it toward resolution or ensure it is clearly and appropriately handed over to the relevant owner.
Accountability: Follow through on commitments, communicate progress clearly, and raise risks or blockers at an early stage.
Thinking Beyond Tickets: Look beyond assigned tasks and continuously identify opportunities to improve reliability, security, automation, observability, and overall operational excellence.