In this role, you will design and build resilient Temporal workflow-based services and platform capabilities using Python and AWS cloud-native services. You will play a key role in translating complex business operations into durable, observable, and fault-tolerant systems.

What you offer

- 6-8 years of experience in backend software engineering, DevOps, SRE, Platform Engineering, or related infrastructure roles, including 2+ years of hands-on experience with Temporal Workflows and Activities in production environments.

- Strong Python development expertise (3+ years), with proven experience designing, developing, troubleshooting, and optimizing applications, as well as operating Temporal Cloud or self-hosted Temporal clusters.

- Deep knowledge of AWS cloud services, containerized and cloud-native architectures, and event-driven/distributed systems, including Kafka-based integrations.





- Experience with API gateways, service-to-service communication patterns, and modern DevOps practices, including CI/CD pipelines using GitHub Actions, observability, monitoring, and logging tools such as Grafana and Splunk.

- Solid production support capabilities, including incident management, root cause analysis, and service reliability improvements, with excellent collaboration and communication skills across engineering, architecture, product, and platform teams.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Assistant Manager | Temporal Full Stack Engineer (Hyderabad)
🏢 MACQUARIE
📍 Hyderabad