Senior Java Engineer, GraphAware

• 5+ years of backend/data engineering experience with complex, large-scale systems
• Strong expertise in Java and integration frameworks (e.g., Apache Camel, Nifi or equivalents)
• PostgreSQL (experience with schema design, queries, and optimization)
• Performance tuning (JVM debugging, garbage collection, thread/IO usage)
• Proven track record in building platforms/frameworks, not just consuming them
• Proven experience in systems integration: APIs, messaging, databases, cloud services
• Experience engineering prototypes into production-ready code (working with data science/LLM outputs)
• Experience designing APIs that empower users
• Strong grasp of Clean Architecture, DDD, TDD, and high-quality coding practices
• Confidence in making and owning engineering decisions, weighing trade-offs and aligning with business priorities
• Ability to deliver reliable, performant, and observable runtime components
• Curiosity and ability to understand user needs and workflow use cases, not just the code
• Strong collaboration and communication skills
• This role is ideal for someone who enjoys combining technical depth with product thinking and wants to grow either into a broader leadership position or advance through senior IC roles over time

Desirable

• This is a senior engineering role with real impact
• You’ll help build a next-generation intelligence platform that empowers analysts and investigators to connect data, uncover insights, and act with confidence
• Your work will focus on workflow and integration capabilities, enabling users to design, run, and manage their own data pipelines — while also productionising data science prototypes into reliable product features
• Build with a purpose: Your code will help law enforcement and intelligence professionals save lives and protect communities through better data insight
• Hands-on engineering: Design, implement, and operate the core functionality that powers the intelligence platform
• Graph-first challenges: Tackle the unique problems of integrating diverse data into graph data models
• Platform mindset: Build the features and tooling that empower others to create and run their own pipelines
• Decision-making impact: Make technical choices that shape how the platform evolves, balancing trade-offs between scalability, performance, and usability
• Technical mentoring: Support teammates through code reviews, pair programming, and knowledge sharing
• End-to-end ownership: Build features from design through to production, with autonomy and trust in a remote-first team
• Cross-functional collaboration: Partner with product managers and data science teams to turn prototypes into reliable product features
• Design and implement platform functionality for creating and running ingestion workflows within the intelligence platform
• Build connectors and reusable components that can be plugged into user-defined pipelines
• Ensure pipeline orchestration, monitoring, and error handling are robust and user-friendly
• Work with the data science team to understand prototypes and engineer them into production-ready services
• Support the evolution of conversational interfaces that bridge graph data models and LLMs to deliver high-value services to end users
• Explore GenAI opportunities for intelligent mapping, enrichment, or transformation
• Build and evolve conversational AI capabilities
• Implement observability features (metrics, logs, tracing) for both pipelines and integrations
• Collaborate with product and UX teams to ensure pipeline creation is intuitive for end users
• Review code, contribute to architectural discussions, and mentor peers
• Type of Contract: Employee or Contractor (depending on the location)