Temporal Engineer

Temporal Engineer – 2+ Years

Role Overview

We are looking for a Temporal Engineer with 2+ years of hands-on experience in building and supporting workflow orchestration solutions using Temporal (or Cadence). The role will focus on designing workflows, integrating Temporal into microservices-based applications, and ensuring reliable execution of distributed systems. This position is ideal for engineers with solid backend or DevOps experience who have begun specializing in workflow orchestration.

Key Responsibilities

• Workflow Development & Integration

  • Design, implement, and maintain Temporal workflows and activities.

  • Collaborate with application teams to integrate workflows with microservices and data pipelines.

  • Support development in Go, Java, or Python for Temporal SDKs.

• Platform Management

  • Assist in configuring and managing Temporal clusters in dev, test, and production.

  • Monitor worker performance, retries, and error handling.

  • Support upgrades, patches, and scaling initiatives.

• Monitoring & Troubleshooting

  • Use observability tools (Prometheus, Grafana, ELK, OpenTelemetry) for workflow monitoring.

  • Troubleshoot workflow failures, latency, and worker scaling issues.

  • Develop runbooks for common incidents.

• Collaboration & Support

  • Partner with DevOps and cloud teams to automate deployments of workflows.

  • Work with senior engineers to define best practices for Temporal usage.

  • Provide L2/L3 support for workflow-related issues.

Required Skills & Experience

• 2+ years in backend engineering, DevOps, or workflow orchestration.

• 1–2 years of hands-on experience with Temporal (or Cadence).

• Strong programming skills in Go, Java, or Python.

• Understanding of distributed systems, retries, compensation logic, and event-driven architectures.

• Familiarity with Docker, Kubernetes, and CI/CD pipelines.

Preferred Knowledge

• Exposure to data orchestration tools (Airflow, Argo Workflows, Prefect).

• Basic knowledge of Kafka, RabbitMQ, or event streaming platforms.

• Experience with cloud-native platforms (AWS, GCP, or Azure).

Education & Certifications

• Bachelor’s degree in Computer Science, IT, or related field.

• Preferred certifications: Kubernetes (CKA/CKAD), cloud certifications (AWS/GCP/Azure).

• Temporal training/certifications (if available) are an added advantage.