AI/ML Software Engineer

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🔥 52 minutes ago

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Blackpoint Cyber

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

🎖️ Defense

🔒 Cybersecurity

💰 $190M Series C on 2023-06

Consulting • Defense • Cybersecurity

Blackpoint Cyber is a technology-focused cybersecurity company headquartered in Maryland, USA. Established by former US Department of Defense and Intelligence security experts, Blackpoint leverages its real-world cyber experience to help Managed Service Providers (MSPs) safeguard their infrastructure and operations. The company offers a proprietary cybersecurity ecosystem, including its SNAP-Defense platform for Managed Detection and Response (MDR) services. Blackpoint's dedicated security analysts work 24/7 to combine various security measures, including network visualization and endpoint security, to monitor and respond to threats. Additionally, Blackpoint is launching LogIC, a logging and integrated compliance service designed to assist MSPs with cyber compliance requirements. The company's mission is to deliver comprehensive detection and response services to help MSPs combat the evolving threat landscape.

📋 Description

• Build and maintain back-end services using Python, Node.js, or Go on Kubernetes within established architectural patterns • Contribute to GenAI 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 • Take on new assignments with general guidance rather than owning architecture decisions independently • Participate in code reviews 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, including PostgreSQL and MySQL, and NoSQL, including MongoDB • Working knowledge of ML/AI concepts and workflows • Understanding of back-end security fundamentals, including API security and authentication/authorization basics • Comfortable working in an Agile environment • Must be authorized to work in Canada without restriction • Must not require current or future sponsorship to work in Canada • Nice to have: AWS cloud infrastructure experience • Nice to have: Data streaming basics with Kafka and Spark • Nice to have: Exposure to LLM/agentic AI tooling • Nice to have: Cybersecurity, IoT, or NLP domain experience

🏖️ Benefits

• Equity • For eligible employees in the US: Health, Vision, Dental, and Life Insurance plans • Robust 401k plan • Discretionary Time Off • Other minor perks • Direct mentorship from the SVP, Engineering & AI/ML • Growth in applied ML and Generative AI actively supported