Site Reliability Engineer

We are looking for an accomplished Site Reliability Engineer (SRE) for one of our client, to lead the observability and monitoring strategy for our AI-integrated ASOC platform and its associated products. This role requires a strong foundation in SDLC, agile practices, automated testing, and deep expertise in building reliable, scalable, and data-intensive systems.

What You’ll Be Doing

• Design and implement observability and monitoring systems for data analytics, SIEM, and AI platforms using Prometheus, Grafana, and related tools.
• Automate operational tasks with Kubernetes, Python, Terraform, and ArgoCD Workflows to enhance deployment speed and reliability.
• Define and prioritize SLOs, SLIs, and SLAs in collaboration with cross-functional teams.
• Champion proactive incident management with automated alerts, reducing MTTD and MTTR for Sev1/Sev2 incidents.
• Conduct postmortems and root cause analyses (RCA) to drive continuous improvement.
• Ensure secure and gradual deployment practices with strong testing and fail-fast validation.
• Perform capacity planning and performance tuning to support scalable infrastructure.
• Foster collaboration across Engineering, Observability, MonOps, and CloudOps teams.
• Maintain transparent communication about service status, incidents, and resolutions.
• Advocate for and implement cutting-edge automation, observability, and monitoring technologies.

What We Need To See

• 9+ years of experience in Site Reliability Engineering / DevOps with large-scale, data-intensive systems.
• Bachelor’s degree in Computer Science, Engineering, or equivalent experience.
• Expertise in observability & monitoring tools (Prometheus, Grafana, Kubernetes).
• Strong knowledge of cloud platforms (AWS preferred).
• Proven experience in Docker, Kubernetes, Python, Terraform, Ansible, CI/CD pipelines (GitLab CI, ArgoCD).
• Solid grasp of SDLC and Agile methodologies with experience defining SLOs, SLIs, and SLAs.
• Strong automation and scripting skills for incident resolution.
• Exceptional analytical and problem-solving skills with hands-on debugging of performance bottlenecks and dependency issues in production.
• Experience with capacity planning and performance monitoring tools (e.g., Locust, Prometheus).
• Familiarity with secure deployment practices and automated testing frameworks.
• Self-starter with a “get things done” attitude, able to work independently.
• (Nice to Have) Background in cybersecurity or data lake platforms.

Job Type: Full-time

Pay: ₹1,350,000.00 - ₹4,050,000.00 per year

Benefits:

• Food provided
• Health insurance
• Life insurance
• Provident Fund

Work Location: In person