DevOps / Site Reliability Engineer (SRE)

Job Summary

Key Responsibilities

• Design, implement, and manage scalable and reliable cloud infrastructure across multiple environments to support high availability and performance requirements.
• Develop and maintain CI/CD pipelines to automate and streamline software deployment processes, ensuring efficiency and reliability.
• Monitor system performance, availability, and reliability using advanced observability tools, identifying and addressing potential issues proactively.
• Proactively detect, diagnose, and resolve performance bottlenecks, incidents, and system failures to minimize downtime and maintain operational excellence.
• Implement and manage Infrastructure as Code (IaC) solutions to ensure consistent, repeatable, and version-controlled deployments across environments.
• Enforce platform security, compliance, and adherence to industry best practices, particularly in regulated environments.
• Collaborate closely with engineering, data, and platform teams to enhance system reliability, performance, and scalability through cross-functional initiatives.
• Drive automation initiatives across infrastructure provisioning, deployment workflows, and operational processes to improve efficiency and reduce manual intervention.
• Participate actively in incident management, conduct root cause analysis (RCA), and contribute to continuous improvement initiatives to strengthen system resilience.
• Maintain comprehensive documentation for infrastructure configurations, operational procedures, and system architectures to support knowledge sharing and troubleshooting.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 5–10 years of experience in DevOps, Site Reliability Engineering (SRE), or cloud engineering roles.
• Hands-on experience working in cloud environments (AWS, Azure, or GCP).
• Experience supporting production systems with high availability requirements.

Required Skills

• Strong experience with CI/CD tools (e.g., Jenkins, GitHub Actions, GitLab CI).
• Proficiency in Infrastructure as Code (Terraform, CloudFormation, or similar).
• Experience with containerisation and orchestration (Docker, Kubernetes).
• Strong knowledge of monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, etc.).
• Understanding of cloud security, networking, and identity management.
• Experience with scripting or programming (Python, Bash, or similar).
• Familiarity with incident management and SRE practices (SLAs, SLOs, error budgets).
• Strong troubleshooting, analytical, and problem-solving skills.

Preferred Qualifications

• Experience in AI or data platforms, or large-scale data systems.
• Exposure to regulated environments such as finance or healthcare.
• Knowledge of cost optimization and FinOps practices.
• Certifications in cloud platforms including AWS, Azure, or GCP.