Senior AI/ML Software Engineer

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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

• 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 • Design and consume REST, GraphQL, or gRPC APIs, balancing performance, scale, and resiliency • Contribute to architecture and design decisions for AI/ML-enabled features with engineering leadership • Mentor other engineers and lead complex, cross-functional projects • Communicate technical solutions and progress directly to leadership and align them with business objectives

🎯 Requirements

• 5–7 years of back-end software engineering experience 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 and performance tuning across SQL, including PostgreSQL and MySQL, and NoSQL, including 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, including MLOps and model deployment/monitoring • Deep understanding of back-end security best practices, including API security, sensitive data handling, authentication/authorization, OAuth, and JWT • Comfortable in an Agile environment and able to break down large initiatives independently • Authorization to work in Canada without restriction • Nice-to-have: AWS cloud infrastructure and operations; Kafka and Spark; LLM/agentic AI development pipelines; cybersecurity, IoT, or NLP domain experience

🏖️ Benefits

• Offers Equity • Offers Bonus • Health, Vision, Dental, and Life Insurance plans for eligible employees in the US • Robust 401k plan • Discretionary Time Off • Other minor perks