About the role
Commit builds software products for clients across embedded, IoT, SaaS, AI/ML, e-commerce, mobile, and web. We’re looking for a Senior .NET Backend Engineer to join a strong, high-bar team building high-performance, secure .NET services. You’ll be a hands-on contributor — designing and writing production backend code, shaping technical decisions alongside your teammates, and delivering for clients (including large enterprise and banking environments).
What you’ll do
• Design and build robust, high-performance, secure backend services in C# / .NET.
• Contribute to backend architecture and technical decisions alongside the team.
• Design and document APIs (Swagger / OpenAPI) for clean, well-versioned integrations.
• Take part in code reviews and help uphold the team’s engineering standards.
• Drive performance, reliability, and secure-by-design practices in your code.
• Contribute to build, packaging, and deployment so releases are repeatable and reliable.
RequirementsMust-have qualifications
• 5+ years in backend engineering.
• 1+ years experience in AI Tools Claude Code, Copilot, Cursor
• Expert-level command of the core .NET stack: C#, .NET / .NET Core, ASP.NET Core, Entity Framework, LINQ, and async/concurrent programming.
• Strong networking fundamentals (TCP/IP, HTTP/S, sockets) and API/service communication.
• Proven performance-engineering skills: profiling, optimization, and advanced debugging of complex systems.
• Strong background in secure code writing (OWASP, secure SDLC, common vulnerability classes and mitigations).
• Experience with API design and documentation using Swagger / OpenAPI (e.g. Swashbuckle).
• Software packaging and deployment experience (NuGet, containers/Docker, CI-driven artifacts, installers).
• Fluent with modern dev tooling: Git, JIRA, Jenkins.
• Professional-level English.
• Excellent interpersonal and communication skills.
Nice to have
• Cloud experience (Azure / AWS) and microservices or messaging (e.g. gRPC, RabbitMQ, Kafka).
• Experience with AI-first development (Claude Code, Cursor).
• Additional programming languages and frameworks.
• Experience working in large organizations (e.g. banking / financial services).
Skills Required
- 5+ years in backend engineering
- 1+ years experience in AI tools (Claude Code, Copilot, Cursor)
- Expert-level command of C#, .NET, .NET Core, ASP.NET Core
- Experience with Entity Framework and LINQ
- Async and concurrent programming
- Strong networking fundamentals (TCP/IP, HTTP/S, sockets)
- Performance engineering: profiling, optimization, advanced debugging
- Secure coding practices (OWASP, secure SDLC)
- API design and documentation using Swagger/OpenAPI (e.g., Swashbuckle)
- Software packaging and deployment (NuGet, Docker/containers, CI-driven artifacts, installers)
- Fluent with modern dev tooling: Git, JIRA, Jenkins
- Professional-level English and excellent communication skills
- Cloud experience (Azure/AWS)
- Microservices or messaging experience (gRPC, RabbitMQ, Kafka)
- Experience with AI-first development (Claude Code, Cursor)
- Additional programming languages and frameworks
- Experience working in large organizations (banking/financial services)
What We Do
Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.
