Key Skills

Job Description

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. A Day in the Life As a Software Engineer I at Diligent, you’ll help build the foundation of our next-generation SaaS platform that makes governance simple and powerful for our global customers. You’ll develop secure, scalable, and high-performing microservices, primarily using TypeScript in a serverless architecture on AWS. Working in one of our core governance teams, you’ll take end-to-end ownership of services, from development to deployment and monitoring. You’ll be part of architectural discussions, actively contribute to sprint demos, and gain exposure to the full product lifecycle. This role is perfect for someone early in their engineering journey who is eager to grow, experiment, and make a meaningful impact from day one, including exploring how AI tools can enhance development workflows and outcomes. Key Responsibilities Deliver technical contributions on early-career tasks with growing autonomy. Own smaller user stories independently; partner with senior engineers on more complex projects. Demonstrate curiosity and a growth mindset, especially around AI: experiment with AI-assisted techniques to learn new languages/frameworks or solve problems. Follow engineering best practices (code quality, testing, CI/CD) and contribute to a healthy team flow. Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and applying judgment. Required Experience/Skills 0-3 years of hands-on software development in an agile environment. Growth mindset in AI: Familiar with core AI concepts and terminology (machine learning, large language models, generative AI). Can name common tools (e.g., ChatGPT, GitHub Copilot, Cursor) and describe their general use. Understands that AI outputs are probabilistic and must be validated, not taken as facts. Knowledge of AI-powered coding tools: Awareness of how to integrate tools like GitHub, Copilot, Cursor, or similar into daily tasks, with an emphasis on reviewing and refining AI outputs responsibly. Familiarity with Node.js and/or TypeScript, building RESTful APIs aligned with OpenAPI specs. Exposure to front-end technologies such as Angular or React. Understanding of Git and version control best practices. Experience with Docker and containerization workflows. Awareness of data privacy and compliance when using AI tools, knows not to share proprietary or sensitive information and can flag potential privacy, safety, or fairness issues. What Diligent Offers You Pay Range Incentive Compensation Offers will be negotiated based on each candidate's qualifications. This role is eligible to participate in our annual incentive plan. Incentives are earned based on employee performance against defined metrics and company goals. Benefits Full-time roles are eligible for our comprehensive benefits program which includes medical, dental and vision coverage. You may also contribute to our 401(k) plan that includes a company match. Creativity is ingrained in our culture. We are innovative collaborators by nature. We thrive in exploring how things can be differently both in our internal processes and to help our clients. We care about our people. Diligent offers a flexible work environment, global days of service, comprehensive health benefits, meeting free days, generous time off policy and wellness programs. (among others) Diversity is important to us. Growing, maintaining and promoting a diverse team is a top priority for us. We foster and encourage diversity through our Employee Resource Groups and provide access to resources and education to support the education of our team, facilitate dialogue, and foster understanding. Diligent created the modern governance movement. Our world-changing idea is to empower leaders with the technology, insights and connections they need to drive greater impact and accountability – to lead with purpose. Our employees are passionate, smart, and creative people who not only want to help build the software company of the future, but who want to make the world a more sustainable, equitable and better place. Headquartered in New York, Diligent has offices in Washington D.C., London, Galway, Budapest, Vancouver, Bengaluru, Munich, Singapore and Sydney. To foster strong collaboration and connection, this role will follow a hybrid work model. If you are within a commuting distance to one of our Diligent office locations, you will be expected to work onsite at least 50% of the time. We believe that in-person engagement helps drive innovation, teamwork, and a strong sense of community.

Core Responsibilities

Develop and maintain secure, scalable, high-performing microservices for Diligent’s SaaS platform, primarily using TypeScript in a serverless AWS environment. Own smaller user stories and services through development, deployment, and monitoring, while collaborating with senior engineers and contributing to architecture, testing, and responsible use of AI tools.

Requirements

Candidates should have 0–3 years of software development experience in an agile environment, familiarity with Node.js or TypeScript, RESTful APIs, Git, Docker, and exposure to React or Angular. They should understand core AI concepts and AI coding tools, validate AI-generated outputs, and protect sensitive information when using these tools.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• 401(k) With Company Match
• Flexible Work Environment
• Paid Time Off
• Wellness Programs