
Site Reliability Engineer
2 days ago
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, ₹4,050,000.00 per year
Benefits:
- Food provided
- Health insurance
- Life insurance
- Provident Fund
Work Location: In person
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