Staff Software Engineer

Blackpoint Cyber

About The Position

As a Staff Fullstack Engineer on Blackpoint's Integrations Team, you won’t just write code — you’ll define the technical direction that enables Blackpoint to protect thousands of hospitals, cities, and businesses 24/7 against modern threats. You'll lead with AI, mentor engineers, and set the standard for what a modern, AI-first integration team looks like. You'll work alongside other Staff engineers and engineering leadership to help shape modern software development at Blackpoint. You'll lead high-value initiatives, directly contribute to new security capabilities and threat responses, and deliver real, weekly value to your customers. You'll also encourage and train others, raising the bar for the entire organization. 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.

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.

Nice To Haves

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.

Responsibilities

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.
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.
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.