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, HTTP/HTTPS, 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,

Skills: reliability,bash,cd,automation,aws,infrastructure,cloud,ci,management