Senior Software Engineer (.Net)

<p><strong>About Us</strong></p> <p><span>Diligent is the AI leader in governance, risk and compliance (GRC) SaaS solutions, helping more than 1 million users and 700,000 board members to clarify risk and elevate governance. The Diligent One Platform gives practitioners, the C-Suite and the board a consolidated view of their entire GRC practice so they can more effectively manage risk, build greater resilience and make better decisions, faster. </span></p> <span>At Diligent, we're building the future with people who think boldly and move fast.  Whether you're designing systems that leverage large language models or part of a team reimaging workflows with AI, you'll help us unlock entirely new ways of working and thinking.  Curiosity is in our DNA, we look for individuals willing to ask the big questions and experiment fearlessly - those who embrace change not as a challenge, but as an opportunity.  The future belongs to those who keep learning, and we are building it together.  At Diligent, you’re not just building the future - you’re an agent of positive change, joining a global community on a mission to make an impact.</span> <p>Learn more at diligent.com or follow us on <u><a href="https://www.linkedin.com/company/diligent-board-member-services/mycompany/verification/" id="OWA170dad44-6a69-e1e1-d720-601cd59ec77c">LinkedIn</a></u> and <u><a href="https://www.facebook.com/DiligentCorporation/" id="OWA153deb8c-7641-f6fc-97cb-65df680002a3">Facebook</a></u></p><p><strong><span>Position Overview: </span></strong><span> </span></p> <p><span>As a </span><span>Senior </span><span>.Net Software Engineer at Diligent, </span><span>you’ll be hands-on in shaping the future of our platform by designing and delivering secure</span><span>, scalable, and high-performing web applications and serverless microservices using .Net and TypeScript on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team that owns its application and services end to end, from architecture and implementation to monitoring and continuous improvement.</span><span> </span></p> <p><span>In this role, you’ll lead by example, owning products end-to-end from development to deployment and monitoring, driving architectural discussions, and mentoring others across the team. You’ll be a key voice in evolving our engineering practices and will actively champion the use of AI-powered tools to streamline development, improve quality, and boost team productivity.</span><span> </span></p> <p><span>We’re looking for someone who is not only passionate about building great software, but also excited to explore how AI can unlock faster ways of working for themselves and their teammates.</span><span> </span></p> <p><strong><span>Key Responsibilities</span></strong><span> </span></p> <ul> <li><span>Design, implement, and maintain scalable, secure .NET backend services, evaluating architecture, technical complexity, and implementation impact for reliability, performance, and maintainability.</span><span> </span></li> </ul> <ul> <li><span>Own and deliver well-defined backend stories independently, with deep understanding of .NET, frameworks, and supporting tools.</span><span> </span></li> </ul> <ul> <li><span>Lead code reviews, enforce testing practices, and maintain service stability across backend services and infrastructure components.</span><span> </span></li> </ul> <ul> <li><span>Coach and mentor peers on .NET patterns, best practices, clean architecture principles, and AI-augmented development; foster collaboration, knowledge sharing, and constructive feedback.</span><span> </span></li> </ul> <ul> <li><span>Collaborate with Product, Security, DevOps, and other teams to align on features, deployment, compliance, and security requirements.</span><span> </span></li> </ul> <ul> <li><span>Maintain Agile development flow and drive iterative improvements in backend services.</span><span> </span></li> </ul> <ul> <li><span>Advise on AI use (model concepts, prompt patterns, ethical/privacy considerations), embed monitoring and compliance checks, and document residual risks.</span><span> </span></li> </ul> <ul> <li><span>Use AI tools to accelerate backend development tasks such as API design, database schema creation, infrastructure provisioning, debugging, and researching best practices, validating outputs and applying judgment.</span><span> </span></li> </ul> <ul> <li><span>Understand core LLM concepts (tokens, context length, embeddings, hallucinations), recognize safe vs. unsafe use cases, and flag ethical, privacy, or cost concerns.</span><span> </span></li> <li><span>Explore emerging backend frameworks, cloud patterns, and AI-assisted tools to improve productivity, scalability, and maintainability.</span><span> </span></li> </ul> <p><strong><span>Required Experience/Skills </span></strong><span> </span></p> <ul> <li><span>5–7 years of professional software engineering experience in agile, fast-paced envir