Blackpoint Cyber - Software Architect
Requirements
• 5+ years of cybersecurity architecture experience designing and delivering security-focused platforms or solutions. • Proven experience designing scalable cloud-native SaaS architectures and distributed systems. • Strong understanding of security architecture principles, including secure design, threat modeling, security controls, and data protection. • Experience building security products or platforms such as MDR, XDR, EDR, SIEM, SOAR, ITDR, or security analytics solutions. • Experience designing security data pipelines, telemetry platforms, and large-scale data architectures. • Expertise in big data and streaming technologies (e.g., Elastic, Kafka, Spark). • Deep knowledge of AWS cloud infrastructure, containers, and Kubernetes-based environments. • Strong experience with microservices and enterprise-scale SaaS architectures. • Experience designing AI-enabled applications, LLM integrations, AI agents, and AI-assisted engineering workflows. • Hands-on experience with AI development tools (e.g., GitHub Copilot, Cursor, Claude, ChatGPT, or similar) to improve software delivery. • Understanding of AI architecture patterns including RAG, model evaluation, AI security, and observability. • Experience evaluating emerging AI technologies and applying them to enterprise solutions. • Experience building large-scale data platforms and high-volume SaaS applications, including endpoint security products. • Strategic thinker with strong problem-solving, communication, and cross-functional leadership skills. • Strong organizational awareness and the ability to anticipate and address challenges proactively. • 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.
Responsibilities
• Champion AI-driven approaches to software architecture, solution design, development workflows, and product delivery. • Execute software architecture deliverables and take hands-on ownership of delivering critical initiatives across the product portfolio, ensuring scalability, reliability, extensibility, and maintainability. • Participate in the design review process within the Product organization, guiding architectural principles, frameworks, and standards in collaboration with engineering teams. • Provide architectural leadership for software design and implementation, ensuring alignment across the Product organization through effective communication and collaboration. • Work closely with business stakeholders and foster strong cross-functional partnerships. • Provide technical leadership to development and test engineering teams, driving innovation and engineering excellence. • Drive research and execution of Proof of Concepts (PoCs) on leading-edge AI technologies, including AI-powered solutions and intelligent automation, and recommend the best approaches for adoption across the product portfolio. • Participate in the engineering on-call rotation and support production systems by helping troubleshoot critical issues, drive root cause analysis, and ensure platform reliability and availability.
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