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-powered 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.


Here' s a summary of the role:
Build software that matters, take real technical ownership, and use modern AI tooling to do your best work. This is a hands-on senior engineering role for someone who enjoys solving complex product problems, shaping robust solutions, and helping teams deliver reliable services at scale. You'll work on secure, scalable microservices and APIs using TypeScript, AWS, and modern engineering practices. You'll play a leading role within a collaborative product engineering team, owning complex features end to end, contributing to design and architectural decisions, supporting production systems, and helping raise the bar across backend, cloud, and AI-assisted development workflows.
- Own and deliver complex backend services and APIs using Node.js, TypeScript, and AWS through release and production support.
- Node.js, TypeScript, and AWS, from technical design Contribute to design and architecture discussions, making pragmatic decisions that balance delivery speed, maintainability, scalability, and security.
- Mentor and support less experienced engineers through code reviews, pairing, technical guidance, and day-to-day collaboration.
- Work closely with product managers, designers, and engineers across the team to turn requirements into practical, reliable solutions.
- Use AI tools to accelerate coding, debugging, testing, research, and documentation, while validating outputs carefully and applying sound judgment.
- Strengthen service reliability, observability, and engineering quality by improving monitoring, incident response, testing, and development practices.