Senior Back End Engineer

About Us:

We deliver a continuous, AI-powered offensive security platform that proactively identifies and validates critical vulnerabilities – reducing risk exposure, accelerating remediation, and preventing breaches before attackers can act.

Our team of top-tier security researchers, ethical hackers, and AI engineers is building an intelligent, automated platform that detects vulnerabilities, predicts risks, and strengthens defenses - faster and smarter than ever before.

Powered by AI innovation and driven by a world-class team, we’re creating the future of autonomous cybersecurity.

We’re passionate about creating products that bridge AI and cybersecurity - enabling enterprises to detect, respond, and adapt faster than ever before.

About the Role:

We're hiring a Senior Backend Engineer to architect and scale the infrastructure behind our AI-powered security platform. You’ll take ownership of our backend systems from day one; designing core APIs, orchestrating the data pipeline, building scalable services, and implementing high-performance integrations.

This is a founding-level role, giving you the opportunity to define our backend architecture, influence product strategy, and build the foundation of a platform that redefines cybersecurity.

You’ll work closely with AI researchers, product engineers, and infrastructure specialists - building high-performance services that connect our AI models, frontend systems, and cloud infrastructure. This role requires deep technical skill and a builder’s mindset: a rare opportunity to shape a security product from the ground up.

If you’re passionate about technology, thrive in a dynamic environment, and want to help shape the future of cybersecurity - we’d love to meet you.

Responsibilities:

• Design and implement the core backend services that power our AI-driven cybersecurity platform.

• Build secure, robust, and scalable APIs that integrate with frontend and data pipelines.

• Architect distributed systems that handle large-scale, real-time data processing.

• Set and uphold high standards for code quality, system reliability, and observability.

• Collaborate with researchers and engineers to translate new ideas into production-ready systems.

• Optimize performance and resource utilization across AI and security workloads.

• Help define engineering best practices, technical direction, and overall system architecture.

Requirements:

• 5+ years of experience as a backend or infrastructure engineer, ideally in a startup or fast-scaling environment.

• Deep understanding of system scalability and performance, including tradeoffs between latency, throughput, and reliability.

• Strong proficiency in Go, with hands-on experience designing GraphQL and distributed systems.

• Expert with Docker, Kubernetes, and microservice orchestration.

• Familiarity with cloud platforms such as AWS or GCP, and modern CI/CD and infrastructure-as-code practices.

• Background in cybersecurity - building secure systems, internal tools, or developer workflows.

• Proven experience in early-stage environments, taking systems from concept to production.

Bonus Points

• Experience or familiarity with DevOps infrastructure, tools, and workflows (CI/CD pipelines, observability, and deployment automation)

What We Offer

• The chance to shape the architecture and technical foundations of a cutting-edge cybersecurity platform.

• A collaborative, curious, and fast-paced environment where innovation thrives.

• Opportunities for professional growth and leadership as we scale.

• Competitive compensation and the excitement of being part of a company from its earliest days.