Senior Software Engineer (C++)

<p></p> <p><strong>Here’s a summary of the role:</strong>  </p> <p>As a Senior Software Engineer at Diligent, you’ll be hands-on in shaping the future of our Compliance 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 C++ 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