Senior AI/ML Software Engineer
About The Position
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'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.
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 Haves
- 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).
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.
Benefits
- competitive Health, Vision, Dental, and Life Insurance plans
- a robust 401k plan
- Discretionary Time Off
- other minor perks
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What This Job Offers
Job Type
Full-time
Career Level
Senior
