Back End Engineer

Horizon3.ai is a fast-growing, remote cybersecurity company focused on proactive security solutions. They are seeking a Backend Engineer to enhance backend services and APIs for their NodeZero platform, ensuring reliability and scalability while collaborating with cross-functional teams.

Responsibilities:

• Build and enhance backend services that power NodeZero, with a focus on ETL jobs and data pipelines used to process and analyze large graph and relational datasets
• GraphQL APIs used by customer-facing features and internal tools (such as authentication, our internal management portal, reporting flows, and more)
• Improving the entrypoint to NodeZero, ensuring NodeZero runs seamlessly on various operating systems and provides improved observability into customer faced issues on installation process
• Implement and evolve backend APIs in GraphQL and Python to support internal tools that enable managing customer accounts and operations at scale
• Product features that rely on reliable, performant data access
• Help build foundational integrations platform and be involved in a new initiative to help scale Horizon3’s ability to integrate a large number of new partners
• Help improve developer experience and API quality and operational readiness to ensure partner integrations are seamless
• Collaborate closely with other teams: Partner with product, frontend, and other engineering squads to ship user-facing improvements
• Work with on-call and support engineers to debug production issues and improve reliability
• Contribute to platform performance and stability, including improving ETL and post-ETL performance around attack vectors and large customer environments
• Enhancing observability and monitoring for runner queues, ETL jobs, and core APIs
• Attack vector and asset graph processing
• Platform features like runner queues, customer entitlements, and client migrations
• Participate in code reviews, testing, and documentation, helping raise the quality bar across the team

Requirements:

• Bachelor's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience
• 1–4 years of professional software engineering experience
• Experience building backend services using at least one modern language, such as Python, Go, Java, TypeScript, or similar
• Experience working with SQL and at least one relational database in production
• Experience building backend services on a cloud platform (AWS, GCP, or Azure), and familiarity with Docker and containerized applications
• Experience with PostgreSQL and performance tuning for large datasets
• Experience with graph databases such as Neo4j or interest in learning them
• Experience building or consuming GraphQL backends
• Experience with ETL pipelines and data processing tools (e.g., Airflow-like frameworks, custom ETL jobs, or similar)
• Experience working on platform or infrastructure-facing teams, building capabilities that other engineering teams use
• Experience with observability stacks (e.g., Datadog, Prometheus, Grafana) and instrumentation of services