Site Reliability Engineer - Docker/Kubernetes

Position Overview :

- Develop and maintain automation scripts using Python and Shell scripting to streamline operations and improve system efficiency.

- Manage and deploy containerized applications using Kubernetes and Docker, ensuring seamless orchestration and scalability.

- Implement and manage SRE monitoring tools (Datadog, Prometheus, Dynatrace) to proactively monitor system health, performance, and incidents.

- Collaborate with development and operations teams to design and implement reliable, scalable infrastructure.

- Perform root cause analysis (RCA) for production incidents and implement preventive measures.

- Optimize system performance, reduce latency, and improve fault tolerance.

- Contribute to on-call rotation for 24/7 production support.

Required Skills :

- Experience : Minimum 7 years of relevant experience in Site Reliability Engineering, DevOps, or production support roles.

- Proven expertise in production support, including incident management, troubleshooting,

and resolution in high-availability environments.

- Strong programming skills in Python and Shell scripting for automation and tooling.

- Hands-on experience with Kubernetes for container orchestration and Docker for

containerization.

- Proficiency in SRE monitoring tools such as Datadog, Prometheus, and Dynatrace for

observability and performance monitoring.

- Solid understanding of cloud infrastructure (AWS, Azure, or GCP) and CI/CD pipelines.

- Excellent problem-solving skills and ability to work under pressure in fast-paced

environments.

- Strong communication skills and ability to collaborate with cross-functional teams.

Preferred Qualifications :

- Familiarity with additional monitoring tools or log management platforms (e.g., ELK Stack,

Splunk).

- Certifications in Kubernetes (CKA/CKAD), cloud platforms, or SRE practices.