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Blackpoint Cyber

Software Architect

Blackpoint Cyber

Software Architect defining AI-powered cybersecurity products and platforms for Blackpoint Cyber. Collaborating across teams and leading technical initiatives in cybersecurity architecture.

Posted 7/22/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $140,000 - $160,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in cybersecurity architecture, focusing on designing scalable cloud-native SaaS solutions and security products. Proven ability to lead architectural initiatives, drive innovation in AI technologies, and ensure platform reliability through effective collaboration and communication.

Highest-signal resume keywords
Cybersecurity ArchitectureCloud-Native SaaS ArchitectureAI-Enabled Application DesignBig Data TechnologiesMicroservices Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Cybersecurity PrinciplesSecurity Data PipelinesThreat ModelingData ProtectionAI Development ToolsAWS Cloud InfrastructureKubernetesElasticKafkaSpark
Soft Skills
Problem-SolvingCommunicationCross-Functional LeadershipOrganizational Awareness
Tools & Technologies
GitHub CopilotCursorClaudeChatGPT
Industry Keywords
MDRXDREDRSIEMSOARITDRSecurity Analytics

Tech Stack

Tools & technologies
AWSCloudCyber SecurityDistributed SystemsKafkaKubernetesMicroservicesSpark

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.

Benefits

Comp & perks
  • Health, Vision, Dental, and Life Insurance plans
  • 401k plan
  • Discretionary Time Off
  • Other minor perks