Backend Developer (.NET | AI-First SaaS Platform)

• Design, build, and maintain scalable backend services for Keepnet's Human Risk Management platform.
• Build clean, modular APIs that integrate internal services and third-party systems to enable automation, reporting, and security workflows.
• Develop testable, maintainable codebases using principles such as Clean Architecture, DDD, and TDD.
• Own the full development lifecycle: design, implementation, CI/CD (Azure), and post-release monitoring.
• Work on distributed and asynchronous systems using message queues, background workers, and event-driven workflows.
• Use observability signals (logging, metrics, tracing, tools like Sentry) to proactively detect, diagnose, and prevent production issues.
• Collaborate closely with frontend, product, and customer-facing teams to deliver features that solve real customer problems.
• Participate in Agile ways of working, focused on iteration, ownership, and continuous improvement., * Thoughtful Engineering: Time and space to design systems properly, not just ship quickly.
• Global Context: Work on a multinational SaaS platform used across multiple regions.
• AI-First Environment: AI-assisted development and production-grade AI systems are part of everyday work.
• Annual Leave: 25 days (+1 per year of service).
• Health & Well-being: Gym support and cycle-to-work scheme.
• Team Culture: Monthly team lunches and quarterly offsites.
• Continuous Learning: Learn from experienced peers and grow your skills over time.

• 8+ years of experience building backend systems with .NET.
• Strong understanding of API design, distributed systems, and asynchronous architectures.
• Experience with SQL and NoSQL databases (PostgreSQL preferred), caching, and queuing systems.
• Familiarity with cloud environments and DevOps practices (Azure preferred).
• Comfort working on production SaaS platforms, with ownership beyond deployment.
• Experience using AI-assisted development tools (e.g. Cursor or similar) to support code exploration, refactoring, testing, or design discussions-while maintaining strong engineering judgment.
• A strong sense of ownership and production accountability, including monitoring, debugging, and continuous improvement.
• Ability to understand product and business context, making pragmatic technical decisions that balance user value, risk, and long-term goals.
• A security-conscious mindset, building systems that are secure by design.

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