Software Engineer II

About Diligentcorporation

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.

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 that owns its services end to end—from architecture and implementation to monitoring and continuous improvement. This role is ideal for a mid-level engineer who writes solid code, mentors others, and embraces AI-powered tools to work smarter and faster. You’ll guide junior engineers, shape architectural discussions, and help scale modern development practices, including responsible use of AI in workflows.

Key Responsibilities

• Own and deliver well-defined stories independently, with a clear grasp of team architecture, frameworks, and tools.
• Actively contribute to code reviews, testing practices, and maintain service stability.
• Support and guide junior engineers (SE-I), fostering collaboration, knowledge sharing, and constructive feedback.
• Maintain 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.
• Understand core LLM concepts (e.g., tokens, context length, hallucinations), recognize safe vs. unsafe use cases, and flag ethical, privacy, or cost concerns.

Required Experience/Skills

• 3–5 years of professional software engineering experience in an agile, fast-paced environment.
• 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).
• AI Tooling & Practices: Uses AI to boost productivity (e.g., test scenarios).