Site Reliability Engineer (SRE)

Key Responsibilities

• Design, build, and operate highly available and scalable production systems.

• Define and implement SRE practices, standards, and reliability engineering strategies .

• Establish and manage SLIs, SLOs, SLAs, and error budgets for critical services.

• Own production reliability, availability, performance, and capacity of business-critical applications.

• Develop and maintain highly automated infrastructure and operational processes.

• Build and manage CI/CD pipelines for reliable and repeatable software delivery.

• Design, deploy, and manage containerized workloads using Docker and Kubernetes .

• Implement Infrastructure as Code using Terraform, CloudFormation, or similar technologies .

• Develop automation using Python, Go, Bash, or similar scripting/programming languages .

• Implement comprehensive monitoring, logging, alerting, and observability solutions.

• Troubleshoot complex production issues across applications, infrastructure, networking, databases, and cloud services.

• Lead incident response, root-cause analysis, and post-incident reviews .

• Identify recurring operational problems and eliminate them through automation and engineering solutions.

• Perform capacity planning, performance optimization, and scalability assessments.

• Implement disaster recovery, backup, business continuity, and high-availability strategies.

• Improve deployment reliability through automation, progressive delivery, rollback strategies, and release engineering.

• Partner with development teams to improve application reliability, resilience, and observability .

• Participate in on-call rotations and provide technical leadership during critical production incidents.

• Establish operational runbooks, documentation, and troubleshooting procedures.

• Mentor engineers and drive adoption of SRE and DevOps best practices.

• Evaluate new technologies and identify opportunities to improve engineering productivity and platform reliability.

Required Qualifications

• 10+ years of experience in SRE, DevOps, Cloud Engineering, Infrastructure Engineering, or Software Engineering.

• Strong experience managing large-scale production environments .

• Strong programming/scripting experience with Python, Go, Java, Bash, or similar languages .

• Hands-on expertise with AWS, Azure, or Google Cloud Platform (GCP) .

• Strong experience with Kubernetes and Docker .

• Extensive experience with Infrastructure as Code , particularly Terraform.

• Strong understanding of Linux/Unix systems administration .

• Experience designing and managing CI/CD pipelines .

• Strong understanding of networking concepts including TCP/IP, DNS, TLS, load balancing, and networking in cloud environments.

• Experience with microservices and distributed systems .

• Strong knowledge of monitoring and observability concepts.

• Experience with tools such as Prometheus, Grafana, ELK/Elastic Stack, Datadog, Splunk, or similar platforms .

• Strong experience with incident management, troubleshooting, RCA, and problem management.

• Understanding of SLOs, SLIs, SLAs, error budgets, and reliability metrics .

• Experience with production performance and capacity management.

• Strong understanding of security, access management, secrets management, and cloud security best practices.

• Excellent problem-solving, communication, and technical leadership skills.

• Experience designing highly available distributed systems at scale.

• Experience with AWS services such as EC2, EKS, S3,