Own the platform engineering for an enterprise AI gateway across development, testing, and production. Responsibilities include deploying and operating Kubernetes environments, managing CI/CD and infrastructure configuration as code, configuring routing and access controls, supporting testing and go-live, and troubleshooting production systems. The role also involves collaboration with architects and security engineers, with preferred experience in AI or API gateways, monitoring, logging, databases, secrets management, and regulated financial environments.
We’re hiring: Senior Platform Engineer, AI Gateway | Mumbai | 6 to 9 years
Algoleap Technologies is building an enterprise AI gateway for a leading financial-sector client in Mumbai, and is looking for a senior Platform Engineer to own the platform side.
What you’ll do
- Set up and run the gateway on Kubernetes across development, test and production environments.
- Look after the deployment pipeline and keep settings in code.
- Configure the gateway (routing, access, limits) with the architect and security engineer.
- Support testing and go-live, then run the platform day to day.
What you’ll need
- 6 to 9 years in platform, DevOps or cloud engineering.
- Strong hands-on Kubernetes (Helm, Docker) and Linux.
- CI/CD and infrastructure or configuration as code.
- Experience running and troubleshooting production systems.
- An understanding of how AI or LLM gateways work, or a real interest in learning it fast.
Good to have
- Bifrost, LiteLLM, Kong AI Gateway or a similar AI or API gateway (open-source or commercial)
- Monitoring and logging (Prometheus, OpenTelemetry).
- Postgres, secrets management or single sign-on.
- BFSI or other regulated environments.
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