Key Responsibilities:

• Lead SRE operations across distributed teams, ensuring system reliability, scalability, and performance. 

• Design and implement robust monitoring, alerting, and observability frameworks. 

• Lead Scrum ceremonies 

• Manage and optimize Active Directory (AD) group structures and access controls. 

• Collaborate with data engineering teams to support Databricks environments. 

• Contribute to architectural discussions and decisions for high-availability systems. 

• Drive incident response, root cause analysis, and continuous improvement initiatives. 

• Integrate and manage workflows using Clarity PPM and ServiceNow for change, incident, and problem management. 

• Actively participate in Scrum ceremonies (daily stand-ups, sprint planning, reviews, retrospectives). 

• Collaborate with Product Owners and Scrum Masters to ensure timely and quality. 

Qualifications

Education:

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Business Analytics, or a related field.

Experience:

• • 6+ years of experience in SRE, DevOps, or Infrastructure Engineering roles. 
  • Strong analytical thinking and troubleshooting skills. 
  • Hands-on experience with: 
  • Active Directory (AD): group policy management, access provisioning. 
  • Databricks: cluster management, job orchestration, performance tuning. 
  • Architecture: designing scalable, fault-tolerant systems. 
  • Clarity PPM: project tracking, resource planning. 
  • ServiceNow: incident/change/problem management workflows. 
  • Proficiency in monitoring tools (e.g., Prometheus, Grafana, Datadog). 
  • Experience with CI/CD pipelines and infrastructure as code (Terraform, Ansible). 
  • Familiarity with cloud platforms (Azure, AWS, or GCP). 
  • Strong scripting skills (Python, Bash, PowerShell). 
  • Solid understanding of Agile/Scrum methodologies and tools like Jira or Azure DevOps.