WC
Temporal Engineer
Accepting applicationsWhitefield Careers · Bengaluru, Karnataka, India
Full-Time Associate AiCadenceJavaPythonai
Posted
1d ago
Category
Test
Experience
Associate
Country
India
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.
Show more Show less
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.
Show more Show less