Responsibilities
- Design, implement, and maintain CI/CD pipelines supporting WFM Services (API and Consumers)
- Take responsibility for services deployments and manage the complex multi versions in multiple regions.
- Monitor and maintenance on all services and make sure services are all green.
- Automate infrastructure provisioning and configuration using Infrastructure-as-Code (IaC)
- Troubleshoot production incidents and participate in root cause analysis (RCA)
- Partner with development teams to improve deployment strategies
Requirements
- 3+ years of experience in DevOps, Release Engineering, SRE, or Cloud Infrastructure roles
- Experience integrating AI-powered services into enterprise development tools to achieve AI-accelerated engineering (e.g., GitHub Copilot, Codeium, Sourcegraph Cody, etc.)
- Experience integrating AI-driven observability tools) for proactive monitoring at scale, improving system stability, accelerating incident response, and automating root cause analysis
- Strong experience with Microsoft Azure cloud technologies (Azure, Application Insights, ADO)
- Hands-on experience implementing Infrastructure-as-Code using Helm charts, Terraform, or similar tools
- Experience operating Kubernetes clusters in production (AKS preferred)
- Strong scripting skills (PowerShell, Bash, YAML, Python, or similar)
- Experience in managing Redis / Kafka topic / SQL / Non-SQL DB deployment and management
- Experience with observability tools such as Application Insights, Prometheus, Grafana, or similar
- Experience supporting high-availability distributed systems
- Strong understanding of networking fundamentals (DNS, HTTP/S, load balancing, firewall rules)
- Experience performing incident response and root cause analysis
- Experience working in Agile/Scrum environments
