Blackpoint Cyber

AI/ML Software Engineer

Blackpoint Cyber
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2 months ago
Remote, CanadaMid Level / Senior

Responsibilities

  • Build and maintain backend services using Python, Node.js, and/or Go on Kubernetes within established architectural patterns.
  • Contribute to Generative AI workflows.
  • Contribute to data pipelines supporting AI/ML workflows.
  • Build and consume REST, GraphQL, or gRPC APIs for secure, scalable services.
  • Collaborate with senior engineers on design decisions under general guidance.
  • Participate in code reviews and cross-functional project work under senior engineer or team lead direction.

Requirements

  • 3–5 years of backend software engineering experience.
  • Python experience is required; familiarity with TypeScript and/or Java is expected.
  • Experience building microservices on Kubernetes.
  • Understanding of database design with SQL databases including PostgreSQL and MySQL, and NoSQL databases including MongoDB.
  • Working knowledge of ML/AI concepts and workflows; strong backend engineers earlier in their ML journey are encouraged to apply.
  • Understanding of backend security fundamentals, including API security and authentication/authorization basics.
  • Comfort working in an Agile environment.
  • Cloud infrastructure experience with AWS is nice to have.
  • Data streaming experience with Kafka and Spark is nice to have.
  • Exposure to LLM or agentic AI tooling is nice to have.
  • Cybersecurity, IoT, or NLP domain experience is nice to have but not required.

Benefits

  • Eligible US employees receive Health, Vision, Dental, and Life Insurance plans.
  • Robust 401k plan.
  • Discretionary Time Off.
  • Direct mentorship from the SVP, Engineering & AI/ML to develop applied ML and Generative AI skills.
  • Additional minor perks.

Categories

BackendData Engineering
Blackpoint Cyber

About Blackpoint Cyber

201-500 employees

Blackpoint Cyber provides managed detection, response, and remediation services and a security platform used by managed service providers and mid-market organizations. Founded in 2014 by former U.S. defense and intelligence operators, it offers 24/7 SOC-backed threat hunting and incident response delivered via the Blackpoint Suite. The privately held, remote-first company sells primarily through MSP partners and raised a Series C in 2023.

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