Description

Build automation, improve system resilience, and enhance service reliability by combining software engineering and operations expertise.

This role is hybrid.

Responsibilities

• Monitor, maintain, and improve the reliability, availability, and performance of production systems.
• Design and implement monitoring, alerting, logging, and observability solutions using SLIs, SLOs, and Error Budgets.
• Automate operational tasks and repetitive processes using scripting and Infrastructure as Code (IaC).
• Lead incident response activities, troubleshooting, root cause analysis (RCA), and post-incident reviews.
• Support CI/CD pipelines, perform capacity planning, and implement high-availability and disaster recovery strategies.

Required Skills

• 8+ years of overall IT experience, including 5+ years in SRE, Production Support, DevOps, or Cloud Operations.
• Strong Linux/Unix administration and proficiency in Python, Shell, or PowerShell scripting.
• Hands-on experience with cloud platforms (AWS, Azure, or Google Cloud Platform).
• Experience with containerization technologies such as Docker and Kubernetes.
• Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK, Splunk, Dynatrace, or Datadog).
• Understanding of CI/CD tools (Jenkins, GitHub Actions, GitLab CI, or Azure DevOps).
• Experience with Infrastructure as Code tools (Terraform, Ansible, or CloudFormation).
• Proficiency in Python/R and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Data analysis and visualization skills (Pandas, NumPy, Power BI/Tableau) and SQL database management.

Key Skills

Education

Any Graduate