Diligent Software Engineer Job Openings 2025 | Bengaluru

Qualifications

Required Experience/Skills- 

• 1–3 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

Position Overview:

• 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.