Senior Backend Engineer (.Net and AWS)

Are you excited by building secure, scalable cloud-native services and exploring how AI can transform the way software is delivered? NET and AWS, influence architecture decisions, and help shape engineering best practices across the team. You'll work end-to-end—from development and deployment to monitoring and continuous improvement—while leveraging AI-powered tools to accelerate development, improve quality, and drive innovation.

What You’Ll Do (Not All Of It, Just The Important Stuff)

NET and AWS. Lead technical decision-making, balancing performance, reliability, security, and cost considerations. Use AI-powered tools to enhance coding, debugging, testing, and prototyping while ensuring quality and safety.

Drive architectural improvements using Clean Architecture, CQRS, and event-driven design patterns. Collaborate with Product, UX, Security, DevOps, and Engineering teams to deliver impactful solutions. Mentor engineers and champion modern development practices, including AI-augmented engineering workflows.

These are the essentials you’ll need to get an interview: 5–7 years of software engineering experience building secure, scalable applications in an agile environment. NET Core, Entity Framework Core, and RESTful API development. Experience designing and operating cloud-native services within AWS environments.

Solid understanding of Clean Architecture, CQRS/MediatR, and event-driven system design. Practical experience using AI tools to support software development, with the ability to critically assess and validate outputs. Experience with modern software delivery practices including Docker, Infrastructure as Code, CI/CD pipelines, and monitoring tools.

Strong communication, mentoring, and collaboration skills with a passion for continuous improvement. It would be great if you had these too, but we’ll support you if you don’t: Experience with AWS services such as ECS/Fargate, Lambda, DynamoDB, SQS, EventBridge, or Step Functions. Familiarity with AWS CDK or Terraform for infrastructure automation.

NET Aspire, distributed tracing, OpenTelemetry, CloudWatch, or structured logging tools. Exposure to gRPC, Polly, feature flagging, or progressive delivery practices. Knowledge of AI governance, compliance, privacy considerations, and responsible AI adoption.

Familiarity with Angular and TypeScript to support full end-to-end feature delivery. Experience evaluating and introducing new tools, frameworks, or AI-driven engineering solutions. #LIHybrid About Us 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. 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.

com or follow us on LinkedIn and Facebook What Diligent Offers You Creativity is ingrained in our culture. We are innovative collaborators by nature.