Software Engineer (Node.js, React)

Position Overview:

As a Software Engineer at Diligent, you'll take on a hands-on technical role in building secure, scalable serverless microservices and AI-powered features using TypeScript and React on AWS for our Risk Manager platform. You'll contribute to our mission of making risk management 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 is ready to build production AI/agentic features — not just use AI as a development aid, but ship intelligent capabilities to customers. You'll guide junior engineers, shape architectural discussions, and help scale modern development practices.

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.

Design and implement AI-powered product features — LLM integrations, agentic workflows, and tool-use patterns that ship to customers. Use AI-augmented development workflows (Claude Code, Copilot) to accelerate your own coding, debugging, and testing.

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, architecture drafts, research), skilled in prompt engineering (instruction vs. few-shot), and evaluates AI outputs responsibly (bias, cost, ethics).

Backend Proficiency: Builds RESTful APIs with Node.js/TypeScript, works with Docker/container workflows, employs Git for version control, and has hands-on experience with SQL databases (e.g., PostgreSQL).

Frontend proficiency: Strong experience with React for building modern, component-based web interfaces.

Cloud & infrastructure basics: Hands-on with AWS services; familiarity with infrastructure as code (CDK, Terraform) is a plus.

CI/CD mindset: Experience or interest in CI/CD pipeline setup and exploring AI-assisted DevOps tooling.

Collaboration & communication: Comfortable discussing architectural decisions, documenting designs (potentially with AI assistance), and presenting technical ideas clearly.