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Site Reliability Engineer

10.00 to 15.00 Years   Bangalore,Chennai   19 Oct, 2024
MNR Solutions Pvt Ltd
Job LocationBangalore,Chennai
EducationNot Mentioned
SalaryNot Disclosed
IndustryIT Services & Consulting
Functional AreaIT Operations / EDP / MIS
EmploymentTypeFull-time

Job Description

    Position: Site Reliability EngineerLocation: Chennai , BangaloreExp: 10- 12 YearsSkills : SRE , DataDog, Azure DevOps, Jenkins, Octopus , Cloud , PythonEnsure 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.

Keyskills :
sitejenkinsreliabilitydataengineer

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