Senior Site Reliability Engineer

Role & responsibilities

• Design, implement, and maintain highly available, scalable, and resilient production infrastructure and distributed systems.
• Define, monitor, and improve Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Service Level Agreements (SLAs).
• Automate infrastructure provisioning, deployment, configuration management, and operational workflows using Infrastructure as Code (IaC).
• Manage cloud infrastructure across AWS, Azure, or GCP, including compute, storage, networking, and security components.
• Build, maintain, and optimize CI/CD pipelines to enable reliable, secure, and frequent software releases.
• Manage containerized workloads and orchestration platforms using Docker and Kubernetes.
• Implement observability solutions using monitoring, logging, tracing, alerting, and performance-analysis tools.
• Lead incident response, troubleshooting, root cause analysis (RCA), and post-incident reviews to minimize service disruption.
• Identify and eliminate repetitive operational tasks through automation, scripting, and software engineering practices.
• Conduct capacity planning, performance tuning, load testing, and infrastructure cost optimization.
• Develop disaster recovery strategies, backup mechanisms, fault-tolerance capabilities, and business continuity procedures.
• Implement security best practices, access controls, vulnerability remediation, and compliance measures across infrastructure.
• Participate in on-call rotations and coordinate incident resolution with development, security, and platform engineering teams.
• Drive reliability improvements through chaos engineering, resilience testing, and proactive risk assessment.
• Mentor junior engineers, establish operational standards, and promote a culture of reliability, automation, and continuous improvement.

Preferred candidate profile

• 5 to 10 years of experience in Site Reliability Engineering, DevOps, Cloud Infrastructure, Platform Engineering, or Systems Engineering.
• Bachelor's degree in Computer Science, Information Technology, Software Engineering, or a related technical discipline.
• Strong expertise in Linux administration, networking, operating systems, distributed systems, and production troubleshooting.
• Proficiency in Python, Go, Bash, or Shell scripting for automation and operational tooling.
• Hands-on experience with cloud platforms such as AWS, Azure, or GCP and infrastructure provisioning using Terraform or similar IaC tools.
• Strong experience with Kubernetes, Docker, container orchestration, and microservices-based architectures.
• Practical knowledge of CI/CD tools such as Jenkins, GitLab CI, or GitHub Actions.
• Experience with observability and monitoring tools such as Prometheus, Grafana, ELK Stack, and OpenTelemetry.
• Good understanding of SRE principles, including SLIs, SLOs, SLAs, error budgets, incident management, and blameless postmortems.
• Proven experience improving system availability, reliability, scalability, performance, and operational efficiency in production environments.
• Knowledge of networking, load balancing, DNS, TLS, security controls, disaster recovery, and high-availability architectures.
• Experience with incident response, root cause analysis, capacity planning, and cloud cost optimization.
• Strong analytical thinking, problem-solving, communication, and cross-functional collaboration skills.
• Ability to work in on-call environments, manage critical incidents, and make sound technical decisions under pressure.
• Demonstrated ability to mentor engineers, document operational procedures, and drive continuous reliability improvements.