• Platform Deployment & Management
  • Install, configure, and manage Temporal clusters (on-prem and cloud).
  • Ensure high availability, scalability, and fault tolerance of workflow orchestration.
  • Manage upgrades, patches, and lifecycle of Temporal services.
• Workflow Development & Integration
  • Collaborate with development teams to design and implement Temporal workflows.
  • Integrate Temporal with microservices, data pipelines, and DevOps platforms.
  • Support multiple languages (Go, Java, Python) for workflow execution.
• Monitoring & Troubleshooting
  • Implement monitoring and observability using Prometheus, Grafana, ELK, OpenTelemetry.
  • Troubleshoot workflow failures, latency issues, and worker scalability challenges.
  • Build automation scripts and runbooks for operational efficiency.
• Security & Governance
  • Configure authentication, RBAC, and TLS encryption for Temporal services.
  • Ensure compliance with enterprise security frameworks.
  • Collaborate with cybersecurity teams for vulnerability management and Zero Trust alignment.
• Collaboration & Support
  • Work closely with DevOps, cloud, and application teams for seamless adoption.
  • Provide guidance on workflow best practices, retries, error handling, and compensation logic.
  • Offer L3 support for production workflows and DR readiness.

What you need to bring:

• 7+ years of experience in workflow orchestration, distributed systems, or backend engineering.
• Hands-on expertise with Temporal (or Cadence), including cluster setup and workflow authoring.
• Strong understanding of microservices architectures and event-driven systems.
• Proficiency in Go, Java, or Python for writing workflows and activities.
• Experience with Kubernetes, Docker, and cloud platforms (AWS/GCP/Azure).
• Familiarity with CI/CD pipelines and GitOps practices.