Suggested rewrite: Led a cross-functional initiative that improved [business outcome] by [measurable result], demonstrating experience relevant to this role...
Software Engineer – Console
- Salary
- USD 100k–350k / yr
- Department
- Software Engineering
- Employment
- Full Time
- Experience
- Senior
- Published
- Apply before
- 10 Dec 2026
- Listing views
- 13
- Application actions
- 1
Make your next move.
Prepare your resume, explore your fit, and draft a cover letter for this opportunity.
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:
45-min introductory chat with our Talent team.
45 minutes with one of our Engineering Leads.
2-3 hour technical deep dive around relevant case study.
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.
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.
Pace & Pressure
5/5Autonomy Level
5/5Communication Load
4/5Salary analysis
Estimated compensation compared with the broader US market for similar roles.
Core skills
Skills and capabilities most closely associated with this opportunity.
Sample interview questions
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.
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.
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.
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.
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.
Apply now.
Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information.
Continue on the employer website
Protect your personal information and never pay to secure an interview or job offer. .
