Aws Data Software Engineer in Bengaluru, India

Build the software services that power products, platforms, and better business decisions. As a Software Engineer II, you’ll develop scalable backend applications, APIs, integrations, and AI-enabled features using Python and cloud technologies.
You’ll contribute to solutions from design through production, helping improve reliability, performance, security, and developer productivity. This is an opportunity to solve meaningful engineering challenges, grow your technical ownership, and collaborate with experienced engineers across the development lifecycle.
Design and build scalable backend services, REST APIs, integrations, and reusable software components using Python and, where relevant TypeScript.
Develop data ingestion, transformation, service-to-service communication, and automation capabilities that support reliable product experiences.
Contribute to AI-enabled features and use AI development tools responsibly to improve coding, testing, research, documentation, and delivery.
Apply sound engineering practices across architecture, performance, security, testing, debugging, and maintainability.
Deploy and operate services using AWS and CI/CD workflows, contributing to monitoring, troubleshooting, documentation, and continuous improvement.
3–5 years of professional experience building and delivering production software in an agile environment.

• Strong hands-on experience with Python and backend development, including APIs, integrations, or service-oriented applications.
• Experience working with cloud platforms, preferably AWS, and familiarity with deployment or CI/CD practices.
• Working knowledge of software design principles, testing, debugging, performance optimization, and secure development.
• Experience with SQL databases and Git-based development workflows.
• Practical understanding of AI or LLM concepts, such as generative AI, embeddings, context limits, hallucinations, or responsible AI tool use.
• Experience building data-intensive applications, ingestion services, distributed systems, or workflow-based solutions.

Familiarity with containers, infrastructure as code, observability, automated quality practices, or MLOps.
Exposure to TypeScript, React, LLM integrations, prompt engineering, retrieval-augmented generation, or other modern AI application patterns.
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. 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.
We thrive in exploring how things can be differently both in our internal processes and to help our clients
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 may be headquartered in New York City, but we have office hubs in Washington https://jobeax.com/link/2OmsmanbBEEG6Y4z is important to 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.
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.
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.

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 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 View email address on https://jobeax.com/link/eQU43fwTmiJBhAez support a fair and consistent hiring process, we use AI and digital automated tools to assist our recruitment team in organizing candidate data, surfacing relevant applications, coordinating interview scheduling and summarizing interview notes. To learn more about how we collect, protect, and process your information, please review our Candidate Privacy Policy .
Visa sponsorship may be available for select positions based on business needs and specific role requirements.