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, 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. International employees receive competitive benefits in accordance with local market standards and applicable country requirements. Blackpoint believes all employees should share in the company’s success – equity participation is available to employees globally, with program details varying by location and employment structure.

You will lead back-end projects and build data/ML pipelines while developing Generative AI workflows. Additionally, you will contribute to architecture decisions and mentor other engineers on cross-functional projects.

Candidates must have 5-7 years of back-end software engineering experience with proficiency in Python and microservices on Kubernetes. A Master's degree in a related field or equivalent applied ML experience is required.

• Health Insurance • Vision Insurance • Dental Insurance • Life Insurance • 401k Plan • Discretionary Time Off • Equity • Bonus

• KubernetesSouhaitée
• MySQLSouhaitée
• Node.jsSouhaitée
• API RESTSouhaitée
• GoSouhaitée
• PostgreSQLSouhaitée
• Amazon Web ServicesSouhaitée
• MongoDBSouhaitée
• GraphQLSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Node.js
• Go
• Kubernetes
• Generative AI
• Data Pipelines
• REST
• GraphQL
• gRPC
• PostgreSQL
• MySQL
• MongoDB
• Microservices
• MLOps
• Cloud Infrastructure
• AWS
• Cyber Operations
• Agentic AI
• Pipelines
• MLOps (Machine Learning Operations)
• Generative Artificial Intelligence
• Back End (Software Engineering)
• Workflow Management
• JSON Web Token (JWT)
• Business Objectives
• Go (Programming Language)
• Technology Solutions
• Resilience
• Cyber Threat Hunting
• C (Programming Language)
• Java (Programming Language)
• Application Programming Interface (API)
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Software Development
• Authentications
• Computer Science
• Cyber Security
• Database Design
• Event-Driven Programming
• Leadership
• Scalability
• Python (Programming Language)
• Machine Learning
• Node.js (Javascript Library)
• NoSQL
• OAuth
• Operations
• Performance Systems Analysis

• Software
• Technology
• Engineering
• Data & Analytics
• Security & Safety
• Software Engineer
• Machine Learning Engineer
• Software Developers
• Computer and Information Research Scientists

Formation minimale

Maîtrise

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Canada