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Lead presales engagements with enterprise customers by understanding requirements, designing Neo4j-based solution architectures, building prototypes, conducting demonstrations and workshops, and guiding proof-of-value initiatives. Partner with account executives and technical stakeholders to communicate business value, ensure integration into customer environments, and support adoption throughout the customer lifecycle. Apply expertise in databases, NoSQL, programming, graph technologies, AI architectures, and complex enterprise IT environments.

Build and improve developer experience for Neo4j’s Aura cloud platform. Support engineering teams with onboarding, documentation, workflows, tooling, and developer-facing services. Maintain AI agent skills and instructions, evaluate AI-assisted development workflows, and collaborate with delivery and platform teams. The role requires Golang, Kubernetes and container literacy, CI/CD and Git experience, strong technical writing, and an interest in solving developer pain points.

Build and improve developer experience for Neo4j’s Aura cloud platform. Help engineering teams onboard, develop, test, and run software in Aura through tooling, documentation, workflows, and hands-on support. Maintain AI coding-agent instructions and skill files, evaluate AI development workflows, and collaborate with software delivery and platform teams. The role requires Go development, Kubernetes and container literacy, CI/CD and Git expertise, clear technical writing, and a focus on developer onboarding and usability.

Designs, builds, and maintains Neo4j connectors for databases, data warehouses, streaming platforms, and data-processing systems. Develops streaming and data-ingestion APIs, contributes to core database features, and supports Kubernetes-based deployments. The role may also involve building customer-facing frontends. Candidates should have production software development experience, multithreaded systems expertise, and backend programming experience with Kotlin, Java, or Go.

Designs, builds, and maintains Neo4j connectors across streaming, data processing, cloud data warehouse, and on-premises technologies. Develops multi-threaded systems, data ingestion APIs, and backend components, collaborates on core database features, and occasionally creates connector frontends. The role involves technologies including Kafka, Spark, Beam, Kubernetes, and cloud data platforms.

Build and maintain highly available, scalable infrastructure for Neo4j Aura database instances. Develop full-stack features across backend services and frontend applications, including HTTP APIs, data persistence, asynchronous processing, third-party integrations, customer tooling, and deployment pipelines. Work with Python and Go services, JavaScript/TypeScript and React, Kubernetes, Docker, and cloud platforms while collaborating across distributed teams and applying automated testing.

Develop and improve Neo4j and Aura developer interfaces, including GraphQL libraries, APIs, MCP servers, CLI tools, and developer tooling. Design and architect new tools and APIs, participate in the full software development lifecycle and support activities, and collaborate with product managers and engineering teams. The role requires production software development experience, proficiency in Go and TypeScript, interest in API design, and a focus on high-quality, well-tested code.

Owns IBM partner enablement for Neo4j by structuring and adapting sales and technical collateral, developing curricula, and delivering training, workshops, and partner sessions. Collaborates with Product Marketing, Sales, Product, Support, and partner management teams to align enablement with revenue priorities. Tracks training completion, engagement, satisfaction, readiness, coverage, and joint pipeline impact while managing multiple content workstreams and stakeholders.

Own the platform architecture and Neo4j strategy for GraphAware Hume, optimizing Cypher queries, graph models, and scalable access patterns. Lead cross-team technical direction, mentor engineers, build secure APIs, and orchestrate graph analytics workflows. Partner with product managers on technical roadmaps, evaluate Neo4j ecosystem updates, and support migrations. The role also involves backend development in Java and Spring, CI/CD, Docker, security, cloud-native practices, and potentially GraphRAG, Kafka, and distributed systems.

Consulting Engineer responsible for designing and delivering Neo4j graph solutions for enterprise customers throughout the implementation lifecycle. Duties include graph data modeling, solution architecture, data engineering, AI and analytics integration, technical advising, customer training, proposal development, and mentoring. The role collaborates with customer engineering, AI, data, sales, and support teams, requiring strong software development, deployment, communication, and consulting skills. Travel to client sites may be required.