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Software Engineer – Console

AI Summary
XBOW is hiring a full-stack Software Engineer to build its AI-powered offensive-security platform. The engineer will deliver end-to-end features using React and TypeScript, APIs, and backend services in Kotlin and Go, deployed on AWS. This role requires ownership from design through production support, including database performance, scalable architecture, and API design. The successful candidate will thrive amid ambiguity and collaborate closely with AI researchers, security researchers, and other engineers. It is a remote, full-time startup role open across Europe, the US East Coast, and Argentina.
Remote from
USA, Europe, Argentina
Salary
USD 100k–350k / yr
Employment
Full Time
Experience
Senior
Published
Apply before
10 Dec 2026
Listing views
13
Application actions
1
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Opportunity details

About this role.

About XBOW

Build the future of offensive security with XBOW. Attackers are already using AI to move faster than defenders can react—we’re creating the platform that puts security ahead in the arms race. Our AI-powered system autonomously discovers, validates, and even exploits vulnerabilities, giving organizations proof-backed results in hours instead of weeks.

Founded by Oege de Moor, creator of GitHub Copilot, and backed by Sequoia, Altimeter, and other leading investors, XBOW is applying cutting-edge AI to one of the world’s most urgent problems. In just over a year, our AI, built by a world-class AI team and legendary security researchers — has uncovered thousands of real-world zero-days across the software billions rely on, and achieved the #1 ranking on HackerOne’s global leaderboard.

We’re a team of builders, hackers, and researchers who thrive on solving problems others think are impossible. If you want to push the boundaries of AI, reshape how security is done, and join the group defining this new era of defense — we’d love to talk.

Your Role

We’re looking for a Software Engineer who’s passionate about building reliable and high quality products with robust backend systems. In this role, you’ll design and implement end-to-end features across the stack: from React-based frontends and TypeScript APIs to backend services in Kotlin and Go, all deployed on AWS.

You’ll be joining a small team of superstars that’s shipping quickly and operating with high trust. This is a role for someone who loves to own open-ended problems and figure things out—whether that’s designing seamless API contracts, optimizing database interactions, or building scalable systems that make powerful AI capabilities accessible. If you like being at the intersection of deep tech and real-world impact, you’ll feel right at home.

What You’ll Do

  • Design and build full-stack systems that integrate frontend and backend seamlessly

  • Develop scalable APIs and backend services in TypeScript, Kotlin, and Go

  • Deploy and operate services in AWS and other cloud providers

  • Own problems end-to-end—from design through deployment to production support

  • Navigate ambiguity and help define how we build as much as what we build

  • Collaborate closely with teammates across the stack, including AI researchers, Security researchers and backend engineers

Who You Are

  • Experience building and operating full-stack systems

  • Proficiency with TypeScript

  • Experience designing and consuming APIs (REST or GraphQL)

  • Strong backend development experience (Node.js, Kotlin, Go, or similar languages)

  • Strong problem-solving skills and the ability to work with incomplete information

  • A thoughtful communicator who values clarity and simplicity

  • Comfort working in a fast-paced, early-stage startup environment

Bonus If You Have

  • Experience with event-driven architectures, message queues, or async workflows

  • Experience building scrappy, iterative frontends where speed and feedback loops matter more than polish

  • Familiarity with AWS or similar cloud platforms

  • Comfort working with infrastructure as code (e.g., Terraform or CDK)

  • A strong appreciation for user experience and design, even if you’re not a formal designer — you care about how features feel as much as how they work

  • Comfortable prototyping quickly in React/TypeScript and turning ideas into working features fast

  • Experience designing and optimizing relational databases (we use Postgres), and you know how to structure data for both performance and clarity.

  • Background in systems programming, networking, or performance tuning

  • Experience with hybrid deployments (cloud + on-prem) and know how to build resilient systems that handle the complexity of mixed environments.

  • Experience working in an early stage startup

  • Prior experience building security products or products for technical users

What We Offer

  • Compensation & Equity: Competitive salary and a generous equity package, making you a true owner of the company.

  • Career Growth: Shape your role, lead the function, and grow with the company as we redefine cybersecurity.

  • Meaningful Work: You will tackle technically complex challenges and play a pivotal role in the growth of our business, working alongside an amazing team and some of the world’s experts to shape how AI transforms cybersecurity.

What Else You Should Know

  • Location: Remote (all team members are remote but we meet regularly and you’re supported to travel to collaborate with colleagues in person)

  • Contract: Full-time.

  • Hiring Process:

    1. 45-min introductory chat with our Talent team.

    2. 45 minutes with one of our Engineering Leads.

    3. 2-3 hour technical deep dive around relevant case study.

    4. 30-min final meeting with the Engineering Lead for the assigned team..

We aren’t focused on seniority titles at XBOW—so if you’re worried about “leveling,” don’t be. We care a lot more about mission fit, capability, and impact than what’s on your LinkedIn headline.

We believe in people who are driven by curiosity and a willingness to learn. Even if you don’t check every box, we encourage you to apply if you’re excited about the role and our mission.

Apply now >

This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content.

Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

Job Complexity

5/5
EasyHard

Pace & Pressure

5/5
RelaxedFast-paced

Autonomy Level

5/5
GuidedFull ownership

Communication Load

4/5
IndependentCollaborative
AI insightThe position spans frontend, backend, cloud operations, databases, and security-adjacent product challenges in a fast-moving early-stage startup. It requires independent technical judgment on ambiguous, high-impact systems problems.

Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job median (per year)Highly competitive
$225,000
US market range (per year)$140k–$260k
AI insightThe employer discloses a yearly base-compensation range of $100,000–$350,000 USD. The midpoint is $225,000 per year; the broad range likely reflects flexibility across experience levels and eligible locations. Estimated US market compensation for a strong full-stack engineer in a security-focused startup is $140,000–$260,000 per year.

Core skills

Skills and capabilities most closely associated with this opportunity.

Sample interview questions
How would you design an API contract for a feature used by both a React console and backend automation workflows?

I would start by defining the user and automation use cases, resource model, authorization boundaries, and failure modes. I would document typed request and response schemas, pagination, idempotency, versioning, and consistent error semantics, then validate the contract with frontend and backend stakeholders before implementation.

Describe how you would investigate a slow PostgreSQL query affecting a production console page.

I would first use application telemetry and query metrics to identify the exact query and its frequency. I would inspect the execution plan, verify indexes and cardinality estimates, reduce unnecessary joins or selected columns, and test changes against representative data before deploying with monitoring and rollback safeguards.

What approach would you take to operating an event-driven workflow reliably in AWS?

I would make consumers idempotent, use durable queues, define retry and dead-letter handling, and include correlation IDs for tracing. I would also monitor queue depth, processing latency, failure rates, and duplicate processing, while documenting recovery procedures for operational incidents.

How do you make effective progress when a product requirement is incomplete?

I identify the decision that is blocked, gather the highest-value context from users and teammates, and write down assumptions and a small proposed solution. I then seek quick feedback, deliver an incremental implementation where possible, and revise based on production signals rather than waiting for perfect certainty.

How would you balance rapid iteration with reliability in an early-stage security product?

I would keep initial scope narrow while preserving core safeguards such as authentication, authorization, auditability, input validation, and observability. Feature flags, automated tests for critical paths, staged rollouts, and clear ownership let the team learn quickly without exposing users to unnecessary operational or security risk.

This analysis is generated from the job description. Salary estimates, role characteristics and sample answers are guidance, not employer-provided facts.
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