Sr. Software Engineer

Blackpoint Cyber

10d

About The Position

What if your code could stop a cyberattack before it hits a hospital, a city government, or a small business that needs better protection? That’s the job. As a Senior Fullstack Engineer on Blackpoint’s Integrations Team, you’ll build the platform that powers real-time threat detection and response for thousands of organizations worldwide. You’ll ship fast, use AI as your daily co-pilot, and see your work make a tangible difference. The Integrations Team connects cybersecurity vendors, cloud providers, and IT operations tools into a unified CompassOne experience that thousands of MSPs depend on daily. This is an AI-first team where you’ll build with AI every day, push its boundaries, and help define what AI-accelerated development looks like at scale. Why This Work Matters Every integration you build makes Blackpoint’s detection and response capabilities stronger. Your individual contributions will directly help stop hackers, protect the organizations that need it most, and keep critical services running. Small businesses, healthcare providers, municipal governments, and essential infrastructure all depend on what we build. This isn’t abstract; your code defends real people. How We Work You’ll work alongside both human teammates and agentic AI collaborators, delivering meaningful outcomes on a daily and weekly cadence. We ship continuously, not in monolithic monthly releases. With a focus on integration health through observability tooling (Grafana, Datadog, CloudWatch) and alerting systems; proactively detecting and resolving issues before they impact customers. Partnering with Product, Architecture, DevOps, UX, and data platform teams to scope and design work, ensuring alignment with roadmap goals. Collaboratively, learning from teammates while also mentoring others through code reviews and design discussions. 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. Our Engineering Philosophy At Blackpoint, we believe the best engineers don’t just adopt AI; they transform how their teams work with it. We’re building a culture where AI is embedded in how we design, build, test, and ship. Where integration engineers don’t just connect APIs; they build the platform that makes our entire ecosystem more powerful. If you push tools to their limits, build systems that make your teammates faster, and see integrations as a strategic weapon rather than plumbing, we want to talk to you.

Requirements

5+ years of fullstack development experience delivering scalable systems in fast-paced environments (TypeScript, React, Node.js, Kubernetes, SQL databases, No-SQL datastores).
Strong experience using AI coding platforms (Cursor, Claude Code/Chat/Cowork, Google Antigravity, Codex) as daily development tools. Real workflow integration, not just curiosity.
Experience building context documentation for AI enablement. You understand that AI is only as good as the context you give it.
Comfort with agentic AI development pipelines, including skills, commands, sub-agents, context files, and MCP integrations.
Solid API and MCP design skills (REST, GraphQL, webhooks, Model Context Protocol) with a security-first mindset.
Familiarity with observability platforms (Grafana, Datadog) and incident management workflows.
A track record of owning features end-to-end and thriving in environments with multiple releases per week.

Nice To Haves

Experience with AI transformation initiatives: documentation centralization, AI training and advocacy, SDLC modernization, or automated QA pipelines.
Background in cybersecurity, MDR, or security operations environments.
Practice building integration frameworks and connecting to external vendors/systems.
Experience with event-driven architectures, message queues, or data pipeline design. Familiarity with ETL workflows, n8n, or data delivery platforms is a bonus.
The curiosity to find a new AI tool on Monday and have it helping the team by Friday.

Responsibilities

Build, ship, and maintain integrations with third-party platforms using TypeScript, React, Node.js, Kubernetes, and Kafka. This includes RESTful APIs, webhooks, event-driven pipelines, and MCP (Model Context Protocol) server integrations.
Take end-to-end ownership of features from design through production deployment, ensuring high quality in a fast-release environment.
Contribute to system and integration architecture, including designing tooling and connectivity patterns that scale across the ecosystem. The systems you help design and build will process data for the millions of endpoints and users we protect 24/7.
Use AI coding platforms (Cursor, Claude Code/Chat/Cowork) as core daily tools to accelerate every phase of your workflow.
Build and help maintain context documentation, skills, commands, sub-agent configurations, and MCP integrations that make AI tools more effective for the entire team.
Innovate continuously on how to leverage emerging AI capabilities to improve development speed, code quality, and integration reliability.