Software Engineer (NodeJS, Typescript)

Here’s a summary of the role: Build cloud software that matters, grow your technical depth, and use modern AI tooling to do your best work. This is a hands-on engineering role for someone who enjoys solving product problems, writing clean code, and helping services run reliably at scale. You’ll work on secure, scalable microservices and APIs using TypeScript, AWS , and modern engineering practices. You’ll be part of a collaborative product engineering team where you can own features, contribute to design discussions, support production systems, and keep growing across backend, cloud, and AI-assisted development workflows. Here’s a breakdown of what you’ll do, not all of it, just the important stuff: Design, build, test, and improve backend services and APIs using Node.js, TypeScript, and AWS . Take ownership of well-defined features from planning through release, including code quality, deployment, and production support . Work closely with product managers, designers, and other engineers to turn requirements into practical, reliable solutions. Contribute to technical design conversations, code reviews, and engineering standards that keep the team moving well. Use AI tools to speed up research, coding, debugging, testing, and documentation, while checking outputs carefully and applying sound judgment. Help keep systems secure, observable, and maintainable by improving monitoring, reliability, and day-to-day development practices. These are the essentials you’ll need to get an interview: 3 to 5 years of professional software engineering experience building production applications in an agile environment. Strong backend development skills with Node.js and TypeScript, including experience building APIs or microservices. Experience with React or Angular in a product engineering environment. Hands-on experience with AWS and a good grasp of cloud-native development, testing, and deployment practices. Comfort working with SQL databases, Git, Docker-based workflows, and modern CI/CD pipelines. Practical understanding of AI-assisted engineering tools , and the judgment to use them responsibly with privacy, security, and quality in mind. Clear communication skills, a collaborative mindset, and the confidence to contribute ideas in technical discussions and code reviews. It would be great if you had these too, but we’ll support you if you don’t: Familiarity with infrastructure as code, for example CDK or Terraform. Exposure to observability tooling, incident response, or production monitoring practices. A broader understanding of LLM concepts such as tokens, embeddings, hallucinations, and safe use cases in software delivery. #LI-Hybrid 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. Learn more at diligent.com or follow us on LinkedIn and Facebook What Diligent Offers You Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our inte