Vagas remotas de Kubernetes para candidatos em Índia.

Deploy, manage & support ML Applications & Services on Kubernetes

Execute Dedicated Geo migrations and cutovers end-to-end, including planning, pre-cutover validation, execution, and post-cutover verification and cleanup.

Design, develop, and maintain scalable, secure, and high-performance backend services using Java and Spring Boot.

Define, track, and improve Service Level Objectives (SLOs), SLIs, and error budgets to ensure reliability targets are met

Operate the production system: deploys, rollbacks, capacity, incident response.

IaC architecture — Terraform module design, state management, multi-account patterns, and setting the standards the rest of the team builds against

Microsoft Azure

Demonstrated expertise in designing and implementing AI-driven agents to optimize and transform the Software Testing Life Cycle (STLC)

The infrastructure is both reliable and secure — the CEO no longer concerns themselves with outages or breaches.

Engage in fast-paced agile application development teams in terms of organizing, managing and executing your work with minimal supervision.

Solving interesting and large scale backend technical challenges

Azure Cloud Management: • Design, implement, and manage Azure infrastructure using Infrastructure as Code (IaC) tools like Terraform, ARM templates, or Bicep.

Own and evolve the test automation platform, ensuring scalability, reliability, and ease of use

Build, deploy, and troubleshoot microservices in Kubernetes and Amazon EKS, ensuring scalability and reliability.

Developer Platform & Tooling

The rate depends on your seniority level, skills and experience. We've already paid out over $11M to our engineers.

Operate and evolve our EKS-based Kubernetes platform, supporting service migrations, platform improvements, and reliability initiatives.

Drive the development of automation, Gitops in your team as an embedded tech lead

Degree in Software Engineering or Computer Science

Provide operational and engineering leadership.

Production Kubernetes - Operate, scale, and evolve cloud-native infrastructure with a strong bias toward reliability, observability, and automation.

Python - advanced

Priority access - be first to hear about new roles before they go public