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, gender identity or expression, national origin, age, marital status, or any other legally protected status. We are committed to equality of opportunity in all aspects of employment. For eligible employees in the US, Blackpoint offers competitive Health, Vision, Dental, and Life Insurance plans, a robust 401k plan, Discretionary Time Off, and other minor perks.
Skills Required
- 5-7 years of back-end software engineering experience
- Python
- Familiarity with TypeScript and/or Java
- Microservices architecture on Kubernetes
- Database design and performance tuning across PostgreSQL and MySQL
- Experience with NoSQL databases (MongoDB)
- Master's degree in Computer Science, Machine Learning, or related field, or equivalent applied ML experience
- Familiarity with ML/AI concepts and workflows (MLOps, model deployment/monitoring)
- Deep understanding of back-end security best practices including securing APIs and handling sensitive data
- Authentication/authorization experience (OAuth, JWT)
- Design and consume APIs (REST, GraphQL, gRPC)
- Comfortable working in an Agile environment and able to break down large initiatives
- Cloud infrastructure & operations (AWS)
- Data streaming/event-driven processing (Kafka, Spark)
- Experience with LLM/agentic AI development pipelines
- Cybersecurity, IoT, or NLP domain experience
- Experience with Node.js or Go services
What We Do
Blackpoint Cyber is a technology-driven cybersecurity company headquartered in Denver, Colorado. Founded in 2014 by former U.S. Department of Defense and intelligence security experts, Blackpoint leverages decades of real-world experience and deep knowledge of malicious tradecraft to provide proactive, nation-state-grade cybersecurity to organizations worldwide. Our mission is clear: to deliver 24/7, human-powered Managed Detection, Response, and Remediation (MDR) services, empowering IT professionals with the industry’s fastest threat elimination and risk mitigation capabilities. Blackpoint’s proprietary technology and active Security Operations Center (SOC) work together to stop cyber threats in real-time, ensuring organizations of all sizes remain protected in a constantly evolving threat landscape. At Blackpoint, we are a passionate team of cybersecurity professionals dedicated to helping Managed Service Providers (MSPs) become the heroes modern businesses rely on. By arming MSPs with cutting-edge technology, relentless 24/7 support, and a trusted partnership, we help them safeguard their clients and combat cyber threats with confidence and precision. At Blackpoint Cyber, we believe sophisticated cybersecurity should be accessible to all. That’s why we remain deeply committed to the growth and success of the Managed IT and Security community, offering cutting-edge solutions that empower IT professionals to combat cyber threats with confidence. Strike first and secure fast with Blackpoint Cyber.
