Full Stack Software Engineering

Our mission is to provide value-add security services and products to the world's most cutting edge technology firms and that starts with blockchain tech. Founded in 2019, Halborn is an elite cyber security company focused on solving complex adversarial problems unique to the cryptocurrency and fintech industries. From breaches and social engineering to stolen private keys and economic hacks, Halborn solves it. Our clientele are the exclusive blockchain companies as well as new startups with high growth trajectories.
Halborn is a globally distributed team of 100+, looking to grow our elite team of white hat hackers, sales professionals, security engineers and DevSecOps specialists who value independence, want to make their own hours, work for themselves and have a passion for the ever evolving cryptocurrency industry.

Our Commitment to Diversity
We do not discriminate based upon race, religion, color, national origin, sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, education, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics and celebrates the diversity of its growing team.
We are unable to sponsor or take over sponsorship of employment Visas at this time.
Recruitment agencies and consultants may not submit resumes/CVs through this website or directly to managers. Halborn does not accept unsolicited agency resumes, and will not pay fees to any third-party agency or company that does not have a signed agreement with Halborn Inc.
We are looking for a full stack developer who is comfortable owning a feature from the database schema to the last pixel and who already builds with AI as a core part of how they work, not as a novelty. You will build the platforms our security researchers use to run engagements, the products our clients use to consume findings, and the AI-assisted workflows that let a small team operate at a scale that should not be possible. The work is real product engineering against real adversarial conditions, and the security bar is high because our customers are the reason it has to be.
Design, build, and ship features end to end across a React and TypeScript front end and Python or Node.js services, taking ownership from technical design through production support.
Model data and design APIs that hold up as requirements change - clear contracts, sane migrations, and schemas that will not need to be rescued in six months.
Build AI-native product capabilities: LLM orchestration, agentic and multi-step workflows, retrieval over engagement data, and structured output that downstream systems can rely on.
Use AI coding tooling aggressively in your own development loop while maintaining the review discipline that keeps generated code from becoming a liability.
Write secure code by default - input validation, authentication and authorization, secrets handling, dependency hygiene - and treat security review as part of shipping, not a gate at the end.
Deploy and operate what you build: containerized services, cloud infrastructure, CI/CD pipelines, monitoring, and the on-call ownership that comes with running production systems.
Collaborate directly with security researchers, auditors, and product stakeholders to translate deep domain expertise into software that non-experts can use.
Contribute to technical direction - framework choices, architecture, and the tradeoffs behind them - and document decisions so the team can move without you in the room.
4 or more years building and shipping production web applications, with genuine ownership on both the front end and the back end.

• Strong React and TypeScript, including modern state management, component architecture, and CSS competent enough to build an interface without a designer hovering.
• Strong server-side skills in Python, Node.js, or both, with production experience designing REST or GraphQL APIs.
• Solid relational database experience - PostgreSQL preferred - including schema design, query performance, and migrations.
• Experience with cloud infrastructure (AWS, GCP, or Azure), Docker, and CI/CD pipelines you configured yourself.
• Demonstrated AI-forward development practice: you integrate LLM APIs into real products, you use AI coding assistants as part of your daily loop, and you can articulate where they accelerate you and where they need a human.
• Security-minded engineering instincts and a working understanding of common web vulnerability classes and how to prevent them.
• Willingness to learn the technical aspects of blockchain and cybersecurity.

Bonus Points
js or viem, wallet integrations, RPC providers, or Solidity and Rust smart contract familiarity.
Experience building agentic systems, working with the Model Context Protocol, vector databases, or evaluation frameworks for LLM features.
DevSecOps experience: infrastructure as code, secrets management, supply chain security, or automated security scanning in CI.
Prior work at a cybersecurity, fintech, or crypto company, or on products handling sensitive customer data.
Knowledgeable of the latest trends in Blockchain and DeFi.