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Temporal Engineer

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Hewlett Packard Enterprise

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Location:
India , Bangalore

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

HPE is seeking an experienced Temporal Engineer with 7+ years of expertise in designing, deploying, and managing workflow orchestration platforms, with strong hands-on knowledge of Temporal. The role involves enabling reliable, scalable, and fault-tolerant execution of distributed applications while integrating Temporal with microservices, CI/CD, and cloud-native ecosystems.

Job Responsibility:

  • 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

Requirements:

  • 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
  • Bachelor's or Master's degree in Computer Science, IT, or related field

Nice to have:

  • Experience with data pipeline orchestration tools (Airflow, Argo Workflows, Prefect)
  • Exposure to Kafka, RabbitMQ, or other event streaming/message queue systems
  • Knowledge of performance tuning and horizontal scaling for Temporal clusters
  • Kubernetes (CKA/CKAD) or Cloud certifications (AWS, Azure, GCP)
  • Temporal community or enterprise training
What we offer:
  • Health & Wellbeing: comprehensive suite of benefits supporting physical, financial and emotional wellbeing
  • Personal & Professional Development: programs to help reach career goals
  • Unconditional Inclusion: inclusive work environment celebrating individual uniqueness
  • Flexibility to manage work and personal needs

Additional Information:

Job Posted:
September 30, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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