Live opening · Posted 3 days ago

Snior Temporal Workflow Engineer

MindBrain · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 3 days ago
CompanyMindBrain
LocationIndia (Remote)
Work modeYes
SourceLinkedin
Listed3 days ago

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About the role

Description supplied by the original job listing.

Job Description – Temporal Workflow Engineer / Temporal ExpertRole Overview
We are seeking an experienced Temporal Workflow Engineer / Temporal Expert with strong hands-on expertise in Temporal.io / Temporal Platform to design, develop, and deploy reliable, scalable, and fault-tolerant workflow orchestration solutions.
The ideal candidate will have strong experience with workflow orchestration, distributed systems, microservices, and cloud-native technologies, with the ability to integrate Temporal workflows with enterprise applications and external systems.
Key Responsibilities
Design and develop Temporal Workflows and Activities for complex business processes.
Build durable, scalable, and fault-tolerant workflow solutions using Temporal.
Develop and manage Workers, Task Queues, Signals, Queries, and Timers.
Implement workflow patterns including retries, timeouts, error handling, and compensation.
Integrate Temporal with REST APIs, microservices, databases, and external systems.
Troubleshoot workflow failures, performance issues, and production incidents.
Implement monitoring, logging, and observability for Temporal applications.
Develop reusable workflow components while following clean coding and engineering practices.
Collaborate with architects, developers, and business stakeholders to translate requirements into workflow solutions.
Support deployment, production operations, maintenance, and optimization of Temporal applications.
Required Skills & Experience
Strong hands-on experience with Temporal.io / Temporal Platform.
Excellent understanding of Temporal Workflows, Activities, and Workers.
Hands-on experience with Task Queues, Signals, Queries, Timers, Retries, and Timeouts.
Strong programming experience in Java, Go, Python, or TypeScript.
Strong understanding of Microservices and Distributed Systems.
Good knowledge of REST APIs, databases, and event-driven architectures.
Experience with Docker, Kubernetes, and CI/CD pipelines.
Strong troubleshooting, debugging, and production support experience.
Good to Have
Experience with AWS, Azure, or GCP.
Knowledge of Kafka or other messaging platforms.
Experience with observability tools such as Prometheus, Grafana, or ELK.
Experience migrating existing business processes or orchestration solutions to Temporal.
Experience working with enterprise-scale distributed systems.
Preferred Candidate Profile
Strong problem-solving and analytical skills.
Ability to design reliable and maintainable workflow solutions.
Good communication and collaboration skills.
Experience working in cloud-native and production environments.
Ability to work effectively with cross-functional engineering and architecture teams.

Work arrangement
Yes

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