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 Join a new engineering team built under the SVP, Engineering & AI/ML to accelerate Blackpoint Cyber's ML/AI capability. As a Software Engineer on this team, you'll build back-end systems and data pipelines within established architecture, working cross-functionally and growing your applied ML and Generative AI skills under the SVP's direct mentorship. RESPONSIBILITIES Build and maintain back-end services (Python, Node.js/Go) on Kubernetes within established architectural patterns. Contribute to GenAI workflows Contribute to data pipelines supporting AI/ML workflows, exercising judgment within defined engineering practices. Build and consume APIs (REST, GraphQL, or gRPC) for secure, scalable services. Collaborate with senior engineers on design decisions; take on new assignments with general guidance rather than owning architecture calls solo. Participate in code review and cross-functional project work under senior engineer or team lead direction. REQUIREMENTS 3-5 years of back-end software engineering experience. Python required. Familiarity with TypeScript and/or Java. Experience with microservices on Kubernetes. Solid understanding of database design across SQL (PostgreSQL, MySQL) and NoSQL (MongoDB). Working knowledge of ML/AI concepts and workflows — we're open to strong back-end engineers earlier in their ML journey, with growth in this area actively supported through direct mentorship from the SVP, Engineering & AI/ML. Understanding of back-end security fundamentals (API security, auth/authz basics). Comfortable in an Agile environment. NICE TO HAVE Cloud infrastructure (AWS); data streaming basics (Kafka, Spark). Exposure to LLM/agentic AI tooling. 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.

Build and maintain back-end services and data pipelines using Python, Node.js, or Go within a Kubernetes environment. Collaborate with senior engineers to develop GenAI workflows and secure, scalable APIs.

Requires 3-5 years of back-end software engineering experience with proficiency in Python and microservices on Kubernetes. Candidates should have a solid understanding of database design and familiarity with back-end security fundamentals.

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

• KubernetesSouhaitée
• MySQLSouhaitée
• Node.jsSouhaitée
• API RESTSouhaitée
• GoSouhaitée
• PostgreSQLSouhaitée
• AgileSouhaitée
• 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
• API Security
• Agile
• AWS
• Kafka
• Cyber Operations
• Agentic AI
• Generative Artificial Intelligence
• Back End (Software Engineering)
• Workflow Management
• Go (Programming Language)
• Technology Solutions
• Cyber Threat Hunting
• C (Programming Language)
• Java (Programming Language)
• Application Programming Interface (API)
• Agile Methodology
• Artificial Intelligence
• Amazon Web Services
• Architectural Patterns
• Cloud Infrastructure
• Code Review
• Cyber Security
• Database Design
• Scalability
• Python (Programming Language)
• Machine Learning
• Mentorship
• Node.js (Javascript Library)
• NoSQL
• Software Engineering
• SQL (Programming Language)
• Team Leadership
• Tooling
• TypeScript
• Internet Of Things (IoT)
• Apache Kafka
• Microservices

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

Expérience minimale

2+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine

Exigences de lieu

Country, Canada