Requirements

• Strong backend software engineering experience, with Go as your primary language, building and operating APIs, services, or ingestion systems that other teams depend on.
• Experience designing well-defined APIs and integration contracts, including thinking about schemas, backwards compatibility, validation, and how other engineering teams will consume them.
• Experience building production services in Go, from smaller utilities and scripts through to larger, long-running services or microservices.
• Some experience with TypeScript or JavaScript and an ability to work comfortably in a codebase that spans backend and frontend technologies. This is primarily a backend role — you won't be responsible for UI development.
• Familiarity with event-driven systems, data ingestion, or data pipeline tooling such as Segment, BigQuery, or similar.
• Ability to work independently in a new area, make pragmatic technical decisions, and drive work forward with limited direction.
• Comfortable writing RFCs and technical documentation, and working across teams to establish and drive adoption of a new integration point.
• Clear, concise communication — a lot of this role involves defining contracts, documenting decisions, and helping other engineers integrate with what you build.

Nice to Have

• Experience with observability, including tracing, logging, and metrics.
• Experience integrating with GCP, AWS, or Azure.
• Experience working with product analytics, event tracking, or telemetry systems.

What You'll Be Doing

• Design, build, and operate the Analytics API and the underlying infrastructure, defining the schema and integration contract used by teams across Aura.
• Make pragmatic architectural decisions around event ingestion, data contracts, reliability, and scalability as the platform grows.
• Build a simple, well-defined integration layer that makes it easy for product teams to send analytics events without coupling them to the underlying data infrastructure.
• Drive adoption across the Engineering organisation, working with teams to integrate with the API and providing the guidance and documentation they need.
• Keep product analytics and billing concerns cleanly separated, even where the underlying data flows or infrastructure may be similar.
• Evaluate build vs. buy across the existing analytics and data stack, including tools such as Segment and BigQuery, keeping the API focused on collection rather than reimplementing downstream capabilities.
• Partner closely with the team building the downstream data pipeline to ensure raw events are reliable, well-structured, and usable for analytics.
• Define and evolve the platform through RFCs, technical documentation, and close collaboration with Product Management and other engineering teams.

Perks and Benefits

• Opportunity to shape the future of data and analytics
• Joining a well-established and successful company in the graph intelligence platform industry
• Part of a fast-scaling technology company with a strong customer base
• Backed by world-class investors
• 84% of the Fortune 100 and 58% of the Fortune 500 use Neo4j
• An inclusive, diverse, and equitable workplace