The job, in the employer's words
Position Overview:
As a Software Engineer II at Diligent, you’ll take on a hands-on technical role in building secure, scalable, and high-performing serverless microservices using TypeScript on AWS. You’ll contribute meaningfully to our mission of making governance effortless for our customers, working in a team of passionate and talented individuals that owns its services end to end—from architecture and implementation to monitoring and continuous improvements.
This role is ideal for a mid-level engineer who writes solid code and embraces AI-powered tools to work smarter and faster. You’ll help shape architectural discussions, and scale modern development practices, including responsible use of AI in workflows.
Key Responsibilities
- Design and implement secure, scalable, high-performing, yet simple solutions using AWS Serverless technology. These solutions should strive to be event-driven, highly observable, with infrastructure as code, and tightly leveraging AWS’s ecosystem of services.
- Optimize your development and delivery experience in order to maximize your team’s productivity and deploy continuously to production.
- Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and maintain a healthy development flow by adhering to Agile processes and driving iterative enhancements.
- Use AI tools to accelerate coding, debugging, testing, research, and code reviews, always validating outputs and
- applying judgment.
Required Experience/Skills
- 3–5 years of professional software engineering experience in an agile, fast-paced environment.
- AI Tooling & Practices: Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics).
- Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness).
- Cloud & infrastructure basics: Hands-on with AWS services; familiarity with infrastructure as code (CDK, Terraform).
- CI/CD mindset: Experience or interest in CI/CD pipeline setup and exploring AI-assisted DevOps tooling.
- Backend Proficiency: Builds RESTful APIs with Node.js/TypeScript, employs Git for version control, and has hands-on experience with SQL databases (e.g., PostgreSQL).
- Frontend familiarity: Experience using React or Angular for modern web interfaces.
- Collaboration & communication: Comfortable discussing architectural decisions, documenting designs, and presenting technical ideas clearly.
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.
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 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 to name a few
- We have teams all over the world. We may be headquartered in New York City, but we have office hubs in Washington D.C., Vancouver, London, Galway, Budapest, Munich, Bengaluru, Singapore, and Sydney.
- 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.
Diligent is proud to be an equal opportunity employer. We do not discriminate based on race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, childbirth, physical disability, mental disability, age, military status, protected veteran status, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including, but not limited to, cancer related or HIV/AIDS related), genetic information, or sexual orientation in accordance with applicable federal, state and local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Diligent's EEO Policy and US EEOC’s Know Your Rights. We are a drug free workplace.
We are committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at recruitment@diligent.com.
Requirements mentioned
- 3–5 years of professional software engineering experience in an agile, fast-paced environment.
- AI Tooling & Practices: Uses AI to boost productivity, skilled in prompt engineering, and evaluates AI outputs responsibly (bias, cost, ethics).
- Familiar with core AI concepts (tokens, context length, embeddings, hallucinations), understands high-level LLM behavior, and recognizes safe vs. unsafe use cases (privacy, security, fairness).
- Cloud & infrastructure basics: Hands-on with AWS services; familiarity with infrastructure as code (CDK, Terraform).
- CI/CD mindset: Experience or interest in CI/CD pipeline setup and exploring AI-assisted DevOps tooling.
- Backend Proficiency: Builds RESTful APIs with Node.js/TypeScript, employs Git for version control, and has hands-on experience with SQL databases (e.g., PostgreSQL).
- Frontend familiarity: Experience using React or Angular for modern web interfaces.
- Collaboration & communication: Comfortable discussing architectural decisions, documenting designs, and presenting technical ideas clearly.
- Pay Range
- $110,000—$120,000 CAD
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