Software Engineer
Role details
Job location
Tech stack
Job description
We're building the operating system for enterprise security testing - a platform that turns security objectives into executable plans and translates findings into actionable insights., You'll design, build, and maintain the backend systems that make our security testing platform reliable, fast, and extensible. This means:
- Architecting and evolving backend services in C# / .NET Core and Python that form the backbone of our platform
- Building and maintaining APIs and integration points (REST, MCP) that connect our orchestration engine, AI capabilities, and customer-facing interfaces
- Designing granular identity and access control across human users, AI agents, and service-to-service calls
- Working across a multi-model data layer (Azure SQL, CosmosDB document + graph) - designing storage and data flows that fit the access pattern, serving both deterministic logic and AI agents
- Architecting systems where agents, humans, and deterministic logic co-drive security testing - event-driven choreography and durable execution patterns that trigger, await, and react to each other across long-running, stateful workflows
- Deploying and operating services across Azure compute (Kubernetes, Functions, Container Apps) with a focus on reliability, scalability, and security
- Co-creating internal admin interfaces on Retool, to streamline operations
- Contributing to our Angular frontend when needed - fixing issues end-to-end rather than stopping at the API boundary
Own Your Impact End-to-End
You'll work in cross-functional teams with full domain ownership - where success means moving the needle for customers and the business:
- Drive projects from shaped bets with clear appetite and boundaries - find the best way to deliver them with your team, in pairs, or independently
- Navigate ambiguity with confidence - make smart trade-offs, prototype when needed, and ship what matters
- Partner with peers, product, and stakeholders to solve customer security challenges through technical innovation
- Balance speed with craft - build on a strong, well-maintained core with the discipline needed for production-grade systems
- Leverage AI developer tools (Copilot, Claude Code, etc.) as a natural part of your workflow to accelerate delivery
- Ship meaningful contributions within your first weeks, then take on increasingly complex challenges
Requirements
Do you have experience in Terraform?, * 7+ years of professional software engineering experience with a track record of shipping and maintaining production systems
- Strong proficiency in C# and .NET Core
- Experience with large-scale Python software development
- Experience designing and operating services on Azure or comparable cloud platforms
- Understanding of event-driven architectures and messaging (Azure ServiceBus, RabbitMQ, or similar), ideally with frameworks like MassTransit
- Depth in relational and non-relational databases, including hands-on experience with ORMs like Entity Framework
- Experience deploying and operating containerized workloads across cloud compute models (Kubernetes, Functions, Container Apps)
- Strong software engineering fundamentals: you write code that is testable, maintainable, and built for production
- Proven skills in structured, independent problem-solving - comfortable working with incomplete information and rapidly testing hypotheses
- Proactive in leveraging AI developer tools (GitHub Copilot, Claude Code, or similar) in your daily workflow
- A thoughtful communicator who values clarity, simplicity, and direct feedback
- Comfortable working in-office on a hybrid schedule (Zurich/Bern) - we believe the best engineering happens when the core team can whiteboard, pair, and align in person
- Language requirements: English required; German a plus
Strong signals
- Experience with hybrid architecture patterns - combining event-driven choreography and orchestrated execution across long-running, stateful, human-in-the-loop workflows
- Experience with graph databases or multi-model databases (e.g., CosmosDB with both document and Gremlin APIs)
- Familiarity with LLMs in production: building around agentic frameworks, prompt engineering, or integrating AI capabilities into backend systems
- Familiarity with real-time communication patterns (SignalR, SSE, WebSockets)
- Depth with Azure services beyond compute and data (e.g. Key Vault, Blob Storage, Application Insights)
- Experience with durable execution and long-running workflows (Durable Functions, Prefect, Temporal)
- Familiarity with modern observability practices: structured logging, metrics, and distributed tracing across services
- Frontend experience with Angular and TypeScript
- Experience building low-code admin tooling (Retool or similar)
- Prior experience in cybersecurity, security testing, or building products for technical/security-focused users
- Experience in a growth-stage startup and comfort with ambiguity
- Familiarity with CI/CD pipelines, infrastructure as code (Bicep, Terraform), and DevOps practices
Reporting & Compensation