Sr. Software Engineer (AI/ML)

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.  SUMMARY We're building a new engineering team under the SVP, Engineering & AI/ML to accelerate Blackpoint Cyber's ML/AI capability. As a Senior Software Engineer on this team, you'll own back-end systems and data/ML pipelines end-to-end, work cross-functionally across engineering, and be mentored directly by the SVP in applied ML and Generative AI. RESPONSIBILITIES - Lead and drive back-end projects across the stack, including Python and Node.js/Go services hosted on Kubernetes, owning delivery end-to-end. - Build Generative AI workflows and deployments - Build, optimize, and maintain data pipelines powering AI/ML workflows and model deployments, working independently and devising solutions based on established engineering patterns. - Design and consume APIs (REST, GraphQL, or gRPC), balancing performance, scale, and resiliency. - Contribute to architecture and design decisions for AI/ML-enabled features, partnering with the SVP, Engineering & AI/ML and other engineering leads. - Mentor other engineers and lead them through complex, cross-functional projects. - Communicate technical solutions and progress directly to leadership, aligning them to business objectives. REQUIREMENTS - 5-7 years of back-end software engineering experience, with a track record delivering scalable, high-performance systems in fast-paced, enterprise environments. - Python required. Familiarity with TypeScript and/or Java. - Strong experience with microservices architecture on Kubernetes. - Strong database design/performance tuning across SQL (PostgreSQL, MySQL) and NoSQL (MongoDB). - Master's degree in Computer Science, Machine Learning, or a related field, or demonstrated equivalent applied ML experience. - Familiarity with ML/AI concepts and workflows (MLOps, model deployment/monitoring) — we're not requiring deep ML specialization; strong engineers with the right foundation and appetite to grow into this space are encouraged to apply. - Deep understanding of back-end security best practices: securing APIs, handling sensitive data, authentication/authorization (OAuth, JWT). - Comfortable in an Agile environment; able to break down large initiatives independently. NICE TO HAVE - Cloud infrastructure & operations (AWS); data streaming/event-driven processing (Kafka, Spark). - Experience with LLM/agentic AI development pipelines. - Cybersecurity, IoT, or NLP domain experience (not required). Blackpoint Cyber welcomes and encourages applications from qualified individuals of all races, colors, religions, sex, sexual orientation,…