Site Reliability Engineer
Content + Source + Freshness • 13 Dec 2025 • 95% confidence
Offer value
The role offers a high value due to the demand for SRE skills, competitive compensation potential, and opportunities to work with cutting-edge technologies.
- Work with leading cloud technologies like AWS and GCP
- Strong potential for career growth in a growing field
- High demand for skills in automation and reliability
Pros
- Engagement with advanced cloud technologies (AWS, GCP, Kubernetes)
- Strong demand for SRE skills in the job market
- Opportunity for continuous learning and professional growth
Cons
- On-call responsibilities may impact work-life balance
- High technical requirements may deter candidates without specialized backgrounds
- Potentially long hours during system outages or deployments
Who it's for
Mid to Senior Level • Hybrid with a strong on-call component
Good fit
- Mid-level to senior SREs or DevOps engineers
- Tech professionals passionate about cloud infrastructure
- Individuals seeking challenging and high-stakes roles
Not recommended for
- Beginner professionals without relevant experience
- Candidates preferring a stable desk job with limited pressure
- People uncomfortable with on-call responsibilities
Motivation fit
Key skills
About the job
Position: Site Reliability Engineer
Location: Chennai , Bangalore
Exp: 10- 12 Years
Skills : SRE , DataDog, Azure DevOps, Jenkins, Octopus , Cloud , Python
Job Description:
• Ensure smooth production on AWS and GCP by maintaining availability, scalability, and reliability with Kubernetes (GKE), AWS ECS, and cloud-native services, focusing on uptime and availability.
• Build and automate infrastructure with Terraform, CI/CD tools, and Python scripts to reduce manual tasks and optimize error rates and throughput.
• Provide 24x7 on-call support to ensure system availability and quick issue resolution, minimizing MTTR.
• Monitor infrastructure with telemetry, tracking latency, error rates, and other SLIs to ensure seamless operations.
• Improve system performance by analyzing metrics from OS, containers, APIs, and apps to address issues early, focusing on response times and resource usage.
• Automate deployments using CI/CD, ensuring performance, compliance, and cost efficiency.
• Plan immutable infrastructure deployments with automated pipelines, ensuring low latency and cost optimization.
• Collaborate with teams (.NET, Java, APIs, Python) to optimize testing and automate deployments for reliable releases, managing error budgets.
• Design scalable systems, manage platforms for high demand, and monitor capacity and throughput.
• Automate processes for efficiency and resource management, reducing saturation. Ensure binaries, configurations work across environments, focusing on scalability.
• Balance feature development with system stability by managing SLOs and error budgets.
• Experience managing cloud infrastructure on AWS, GCP, and Kubernetes with a focus on scalability and SLO-driven performance.
• Proficiency with tools like DataDog, Azure DevOps, Jenkins, and Octopus for code deployment and monitoring throughput and latency.
• Strong background in software development, test automation, and Infra-as-code (Terraform) for efficient deployments.
• Expertise in Python, .NET, or Java for automating tasks and optimizing performance and latency.
• Familiarity with distributed storage systems, handling RPA toolsets, large datasets, focusing on cost efficiency and data throughput.
• Experience with Kubernetes and AWS/GCP services for resource management and resource usage.
• Proactive in identifying bottlenecks, troubleshooting, and improving system performance.
• Ability to design scalable systems to support business growth, ensuring SLO adherence.
Interested candidate share your resume at rubi.jena@mnrsolutions.in
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