2 months ago
Malmö, SwedenSenior
Responsibilities
- Design, build, and operate the Analytics API and underlying infrastructure for collecting product analytics events.
- Define schemas, integration contracts, event-ingestion architecture, reliability standards, and scalability decisions.
- Build an integration layer that enables product teams to send analytics events without coupling to underlying data infrastructure.
- Drive adoption across engineering teams through integration guidance and documentation.
- Evaluate build-versus-buy decisions involving analytics and data tools such as Segment and BigQuery.
- Partner with the downstream data pipeline team to ensure raw events are reliable, structured, and usable.
- Define and evolve the platform through RFCs, technical documentation, and collaboration with Product Management and engineering teams.
Requirements
- Strong backend software engineering experience using Go to build and operate APIs, services, or ingestion systems.
- Experience designing APIs and integration contracts, including schemas, backward compatibility, validation, and consumer needs.
- Experience building production services in Go, ranging from utilities and scripts to long-running services or microservices.
- Some experience with TypeScript or JavaScript and comfort working across backend and frontend codebases; this is primarily a backend role.
- Familiarity with event-driven systems, data ingestion, or data pipeline tooling such as Segment, BigQuery, or similar technologies.
- Ability to work independently, make pragmatic technical decisions, and drive initiatives with limited direction.
- Ability to write RFCs and technical documentation and establish adoption of new engineering integration points.
- Clear and concise communication skills for defining contracts, documenting decisions, and supporting engineering integrations.
- Preferred experience includes observability involving tracing, logging, and metrics; integration with GCP, AWS, or Azure; and product analytics, event tracking, or telemetry systems.
Benefits
- Hybrid work arrangement is indicated by the #LI-Hybrid designation.
- Opportunity to help establish a new product analytics platform and shape technical foundations across Neo4j Aura.
- Inclusive, diverse, and equitable workplace with opportunities for career development and meaningful technical ownership.
Tech Stack
Categories
About Neo4j
Neo4j builds a native graph database and graph analytics platform for developers and data teams, available as self-managed software and the Aura managed cloud. It powers knowledge graphs, recommendations, fraud detection, and other relationship-centric applications via the Cypher query language and integrations across data tools. Founded in 2007 and headquartered in San Mateo, the privately held company commercializes the open-source Neo4j project with enterprise subscriptions and support.