Sr. Software Engineer

Data Serving Engineering is building the serving layer for the future that delivers the right data, at the right speed, with the right governance to every consumer: a customer opening an app, a business analyst asking a natural language question, or an AI agent executing autonomously.

As a Senior Engineer, Software, you will be a hands-on builder and technical lead at the centre of that mission, designing and delivering the pipelines, stores, and APIs that make data consumable at any speed, for any consumer. We pride ourselves on fostering a culture of innovation, agile ways of working, and transparency in everything we do. Join us in embodying the spirit of the Un-carrier and make a tangible impact!

Responsibilities:

• Build serving stores and REST APIs that deliver governed data at the latency and scale production use cases demand.
• Own API contract design, versioning strategy, and breaking-change policy for data-serving APIs.
• Build and operate Change Data Feed (CDF) based sync pipelines to low-latency serving stores.
• Implement caching patterns, invalidation strategies, TTL management, and hot-path serving for sub-millisecond response times.
• Design and build serving infrastructure for AI use cases including vector databases, graph databases, and agent-facing data patterns.
• Set up CI/CD pipelines from scratch with automated tests covering sync correctness, API contract validation, and latency benchmarks.
• Partner with domain teams to onboard use cases, mentor engineers, and contribute to reusable blueprints and reference implementations.

Requirements:

• 7+ years of software engineering experience focused on data infrastructure and backend systems.
• Production Python with API development; owns API versioning, contracts, and governance.
• Experience with CDF-based incremental sync pipelines.
• Production experience with distributed data processing and transformation.
• Production caching and key-value serving: Redis or comparable; cache invalidation, TTL strategies, and high-throughput hot-path serving.
• Streaming frameworks (Kafka or comparable) for real-time data paths including CDC and incremental batch patterns.
• Familiarity with vector databases and graph databases for AI-powered serving use cases.
• Strong SQL, data modelling, and CI/CD skills; has set up CI/CD pipelines from scratch with automated testing.

Must-Have Skills:

• API development, Python.
• Low-latency data serving. Redis / Caching frameworks.
• Kafka / Streaming frameworks.
• CDF-based incremental sync pipelines.

Nice-to-Have:

• Prior experience in large-enterprise data serving or platform engineering environments.
• Experience with Knowledge graphs.
• Building data infrastructure for AI use cases: RAG pipelines, agent tooling, or feature serving.