Senior Software Engineer

Position Overview:

As a Senior Software Engineer at Diligent, you'll be hands-on in shaping the future of our platform by designing and delivering secure, scalable, and high-performing microservices that power our SaaS solutions. you'll have the full power of AWS at your disposal and will work primarily in TypeScript to build serverless solutions, either from the ground up or by modernizing existing services.

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-powe'red tools to streamline development, improve quality, and boost team productivity.

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.

Key Responsibilities:

• Design and own secure, scalable services, guiding technical decisions and evaluating trade-offs (including AI-driven components) to meet reliability, performance, and cost goals.


• Leverage AI tools to accelerate coding, debugging, testing, and prototyping, while rigorously validating outputs to ensure quality and safety.


• 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.


• 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.


• 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.

Required Experience/Skills

• 5-7 years of professional software engineering in an agile environment, delivering secure, scalable services.


• Understands high-level LLM concepts (eg, hallucinations, prompt sensitivity) and safe vs. unsafe AI use cases.


• Experienced in using AI tools to accelerate coding, debugging, testing, and prototyping, with critical review of outputs.


• Skilled in prompt engineering designing reusable prompts and coaching peers.


• Familiar with ethical/cost risks (bias, privacy, vendor lock-in) and embeds basic compliance checks into workflows.


• Expert-level proficiency in C# with .NET Framework and .NET Core 6.0+, including SignalR , MVC and MVVM architecture patterns, IIS 7+ hosting, jQuery, and JavaScript .


• Strong working knowledge of React or Angular to collaborate effectively on full-stack feature development .


• Experience with Infrastructure as Code (CDK/Terraform), Docker containerization, CI/CD pipelines, and application monitoring tools .


• Familiarity with Node.js/TypeScript for building RESTful APIs following OpenAPI specifications and implementing AWS serverless architectures .


• Exposure to security scanning and code quality tools such as Veracode, SonarQube, Snyk, or CodeQL , along with ASP.NET WebForms experience is a plus .


• Experience with SQL (PostgreSQL) and/or NoSQL databases; able to design and optimize schemas for performance.


• Applies best security practices in code and deployments (eg, IAM, secrets management) and reviews AI-assisted suggestions for safety.


• Strong communication of technical and AI-related concepts to diverse stakeholders.


• Proven ability to mentor or guide peers on engineering best practices and AI-augmented workflows.


• Degree in Computer Science/Engineering/related field or equivalent hands-on experience.