Senior .Net Engineer with AWS

<p><strong>Here’s a summary of the role:</strong> &nbsp;</p> <p>As a Senior Software Engineer at Diligent, you’ll be hands-on in shaping the future of our Governance Products by designing and delivering secure, scalable, and high-performing services that power our SaaS solutions. You’ll have the full power of AWS at your disposal and will work primarily in .Net to build solutions, either from the ground up or by modernizing existing services.</p> <p>In this role, you’ll lead by example, owning services 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.</p> <p>We’re looking for someone who is not only passionate about building great software but also excited to explore how AI can unlock better ways of working for themselves and their teammates.</p> <p><strong>Here’s a breakdown of what you’ll do (not all of it, just the important stuff):</strong></p> <ul> <li>Design and own secure, scalable services, guiding technical decisions and evaluating trade-offs (including AI-driven components) to meet reliability, performance, and cost goals.</li> <li>Leverage AI tools to accelerate coding, debugging, testing, and prototyping, while rigorously validating outputs to ensure quality and safety.</li> <li>Advise on appropriate AI use (model concepts, prompt patterns, ethical/privacy considerations), embed monitoring and compliance checks into workflows, and document residual risks and mitigations.</li> <li>Coach peers on engineering best practices and AI-augmented approaches; partner with Product, Security, DevOps, and other teams to align on features, deployment, and compliance.</li> <li>Scout and pilot emerging tools or frameworks (including AI toolchains), integrate automated governance checks into pipelines, and enhance observability and incident response with an eye on productivity, cost, and resilience.</li> </ul> <p><strong>These are the essentials you’ll need to get an interview:</strong></p> <ul> <li>5–7 years of professional software engineering in an agile environment, delivering secure, scalable services.</li> <li>Understands high-level LLM concepts (e.g., hallucinations, prompt sensitivity) and safe vs. unsafe AI use cases.</li> <li>Experienced in using AI tools to accelerate coding, debugging, testing, and prototyping, with critical review of outputs.</li> <li>Skilled in prompt engineering—designing reusable prompts and coaching peers.</li> <li>Familiar with ethical/cost risks (bias, privacy, vendor lock-in) and embeds basic compliance checks i