DevOps Engineer – Context Awareness

As part of the Engineering Journey, you’ll help shape how 8,000+ engineers design, build, and collaborate every day. We’re building a scalable, consistent, and developer friendly platform, Nexa, and an ecosystem around it. If you enjoy working in a complex engineering landscape, influencing how thousands of developers work, and owning a product that truly matters, this is a great opportunity to make an impact.

You & your role

Our Area consists of eight squads. One of the squads is responsible for context awareness.

Engineering teams across the Nexa ecosystem lack a reliable, standardized way to deploy, operate, and evolve a shared context capability. This role ensures that Context Awareness can be safely consumed by many products through stable pipelines, automation, and operational guardrails.

Examples for practices

• Create, maintain and optimize Azure DevOps pipelines
• Connecting various data sources within the bank
• Create intelligence & insights

Top responsibilities

• Pragmatic delivery mindset; iterate quickly, favor simple solutions first, and refine with feedback.
• Collaboration across boundaries; coordinate frontend/backend contract changes and keep shared API definitions aligned.
• Observability mindset; adds clear logging and debuggability for async/data-sync flows.

Together we achieve more than alone

We are curious about what you add to our team of Engineering Journey.

“You really get the space here to drive product innovation that impacts thousands of engineers daily, and you can feel the transformation you're creating,”

Product Manager

You & your talent

• Strong TypeScript skills across full stack, comfortably shares contracts via packages and consumes them in both backend/frontend
• React/Vite architecture with functional components
• Affinity with UX system implementation (Tailwind, Chadcn, Web Components)
• Fastify API design with schema-first validation and docs (node.js, tRPC)
• CI/CD tooling with Azure DevOps using Infrastructure as Code (yaml)
• AWS containerized environments
• Strong testing discipline, using tools like Vitest, Playwright, MSW
• Affinity and/or experience AI, LLM and code generation

Nice to have

• GraphQL fluency; understands both upstream and internal based calls (Apollo/Mercurius)
• Data/infrastructure integration skills; handles Neo4j-backed flows and RabbitMQ-backed async workflows safely.
• Auth/role flow knowledge; can work with OAuth token lifecycle and role switching