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Senior Site Reliability Engineer

Senior Site Reliability Engineer

Softenger
12-14 Years
Not Disclosed

This job is no longer accepting applications

Job Description

Position - SR. Site Reliability Engineer

Experience - 12+ years

Location - Remote for India

Employment type- Full time

Project- UAE project

Skills- Azure, Devops, Python/shell,

Job Responsibilities:

• Design, implement, and maintain highly reliable, scalable, and observable systems on Microsoft Azure.

• Define and operationalize SLIs, SLOs, and SLAs to measure and improve service reliability.

• Build and enhance observability platforms using tools like Grafana, Prometheus, ELK stack, and OpenTelemetry.

• Drive adoption of SRE principles (error budgets, toil reduction, automation-first mindset).

• Implement proactive monitoring, alerting, and incident response frameworks.

• Lead incident management, root cause analysis (RCA), and postmortems with a blameless culture. • Automate infrastructure and workflows using Infrastructure as Code (IaC).

• Collaborate with engineering teams to improve system resilience, performance, and deployment practices.

• Develop and maintain runbooks, playbooks, and operational standards.

• Advocate for DevOps and SRE culture adoption across teams

Desired Skill:

SRE Practices

• Hands-on experience implementing: o SLIs, SLOs, SLAs o Error budgets o Toil reduction strategies

• Strong understanding of incident management lifecycle

Relevant Exp:

Programming & Automation

• Proficiency in Python (automation, tooling, scripting)

• Experience building internal tools for reliability and observability Infrastructure as Code (IaC)

• Strong experience with Terraform

• Familiarity with infrastructure automation and configuration management

• Experience with GitHub Actions (or similar CI/CD tools)

• Knowledge of deployment strategies (blue-green, canary, rolling updates)

Value Add:

Good to Have Experience with AI/ML Observability (monitoring models, drift detection, LLM observability)

• Familiarity with: o Service Mesh (Istio, Linkerd) o Chaos Engineering tools (e.g., Chaos Monkey, Litmus) o Distributed tracing tools (Jaeger, Tempo)

• Exposure to FinOps practices (cost optimization in cloud)

• Experience with multi-cloud or hybrid environments

Comment:

Technical Skills: Cloud & Infrastructure

• Strong hands-on experience with Microsoft Azure

• Experience with Kubernetes (AKS) and containerized environments

• Knowledge of networking, load balancing, and distributed systems Observability & Monitoring

• Experience with: o Grafana (dashboards, alerting) o Prometheus / OpenTelemetry o ELK Stack (Elasticsearch, Logstash, Kibana)

• Ability to design end-to-end observability (metrics, logs, traces)

More Info

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