Blackpoint Cyber - Staff Software Engineer
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Requirements
• 10+ years of fullstack development experience with demonstrated technical leadership in fast-paced, enterprise-level environments (TypeScript, React, Node.js, Kubernetes, SQL databases, No-SQL datastores). • Extensive experience using AI coding platforms (Cursor, Claude, Google Antigravity, Codex) as core development tools. You’ve already transformed your own workflow and can show others how. • You’ve built or extensively experimented with fully agentic AI development pipelines. Building and maintaining skills, commands, sub-agents, context files, and MCP integrations is second nature. • Experience architecting context documentation and MCP-based systems that make AI effective at the team level, not just the individual level. • Deep API and MCP design expertise (REST, GraphQL, webhooks, Model Context Protocol) with security-first mindset. • Hands-on experience with observability platforms (Grafana, Datadog) and incident management workflows. • A track record of driving architectural decisions, mentoring engineers, and delivering high-impact work in startup-speed environments. • Experience leading AI transformation initiatives: documentation centralization, AI training and advocacy programs, SDLC modernization, automated QA pipelines, or building AI-first team cultures. • Background in cybersecurity, MDR, or security operations environments. • Experience building integration frameworks and connecting to external vendors and systems. • Experience with event-driven architectures, message queues, or data pipeline design at scale. Familiarity with ETL workflows, n8n, or data delivery platforms is a bonus. • The curiosity to find a new AI tool on Monday, have it helping the team by Friday, and teach others about it the following week. • Our Engineering Philosophy
Benefits
• Every integration you help architect directly strengthens Blackpoint’s ability to detect and stop cyberattacks in real time. The systems you design and the engineers you mentor will have a direct impact on the security posture of thousands of businesses worldwide. This isn’t abstract; your work defends real people and real communities. • What You’ll Own • What You’ll Own • Technical Leadership & Architecture • Lead the design, development, and delivery of third-party integrations that realize Blackpoint’s product roadmap. Integrations will leverage RESTful APIs, webhooks, event-driven pipelines, and MCP (Model Context Protocol) servers. • Drive architectural decisions across the integrations portfolio. Ensure solutions are robust, secure, and scalable enough to handle data volumes for the millions of endpoints and users we protect 24/7. • Set the standard for code quality, testing strategy, and engineering excellence through hands-on leadership. • AI-First Engineering & Transformation • Leverage extensive experience with AI platforms (Cursor, Claude, Codex, Antigravity) to fundamentally accelerate how the team designs, builds, tests, and ships. • Help build and maintain agentic AI ecosystems with skills, commands, sub-agents, context files, and MCP integrations. • Architect context documentation and MCP-based tooling systems that make AI dramatically more effective across the team, not just for yourself. • Pioneer new AI capabilities and develop novel approaches to applying AI across integration development, testing, and observability. • How We Work • You’ll work alongside both human colleagues and agentic AI collaborators, delivering meaningful outcomes weekly, not in monolithic monthly releases. As a technical lead, you’ll help shape this cadence and hold the bar for what “done” and “good” looks like. • Establish best practices for integration observability (Grafana, Datadog, CloudWatch) and incident response. Help build the monitoring culture, not just the dashboards. • Partner with Product, Architecture, Platform, UX, and alliance teams to scope and design work, ensuring alignment with roadmap and strategy goals. • Coach and mentor engineers on integration patterns, AI-first practices, and scalable architecture — while learning from teammates along the way. • Dedicated to quality. You take pride in what you deliver and how it impacts our systems, teammates, and customers. Ensuring your code works through testing, automation, and good documentation is a guiding principle, not an afterthought.
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