About the role
Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round.
What You'll Do Blackpoint Cyber is the leading provider of world-class cybersecurity threat hunting, detection and remediation technology. Founded by former National Security Agency (NSA) cyber operations experts who applied their learnings to bring national security-grade technology solutions to commercial customers around the world, Blackpoint Cyber is in hyper-growth mode, fueled by a recent $190m series C round. We are seeking a Sr. Backend / Data Software Engineer who will help solve complex technical and operational problems in the cybersecurity industry. Candidates will directly support Blackpoint's cybersecurity mission, helping to stop cyber-attacks and protecting Blackpoint's rapidly growing customer base. Summary: The Product Engineering team is seeking an experienced Backend / Data Software Engineer who will thrive in a fast-paced, remote environment. In this role, you will own the backend services and data platform that power our cybersecurity products — from high-volume ingestion of security telemetry to the pipelines, storage, and APIs that turn that data into protection for our customers. This position is ideal for a strong, versatile software engineer: someone equally comfortable building and operating data infrastructure and stepping into general backend engineering work wherever
the team needs it most.
Responsibilities Deliver on business-critical outcomes through your contributions to our cybersecurity platform, owning backend and data services end-to-end — from design and architecture through production operation. Design, build, and operate scalable data pipelines and streaming ingestion for high-volume security telemetry, ensuring reliability, low latency, and cost efficiency. Contribute to data modeling and warehouse/lakehouse architecture decisions that serve detection, analytics, and product features. Deliver projects across our stack — TypeScript/Node.js, Python, and Go services hosted on Kubernetes — flexing between data engineering and general backend work as priorities shift. Leverage your deep understanding of design and architecture, along with best practices in design patterns. Your experience in optimizing for performance, scale, and resiliency will help deliver outcomes that withstand the test of time. Excel as a team player by recognizing the importance of diverse perspectives and managing expectations and needs across numerous cross-functional groups. This includes mentoring other engineers on day-to-day technical and design questions. Communicate effectively with leadership to define technical solutions, aligning them with high-level business objectives and providing clear progress updates. AI-Driven Development Acceleration – Identify, evaluate, and implement AI-powered tools and practices that enhance development, testing, delivery, and observability. Champion the responsible use of AI to automate routine tasks, improve engineering workflows, and boost system reliability and team productivity.
