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