Senior Software Engineer (Python+React+Typescript+AWS) at Diligent Corporation

Bengaluru, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, React, TypeScript, AWS, PostgreSQL, Docker, FastAPI, REST APIs, Microservices, RAG, AWS Bedrock, LangGraph, Semantic Kernel, Vector Databases, Prompt Engineering, Agentic AI

Industry

Software Development

Description

Here’s a summary of the role: We are looking for a Senior Software Engineer to join our engineering team and take on meaningful technical challenges. You will work on features end-to-end, helping build the foundation of our next-generation SaaS platform that makes compliance simple and powerful for our global customers. In this role, you will primarily work with Python, React, TypeScript, AWS, and modern AI technologies to build scalable applications and intelligent product capabilities. As AI capabilities become core to our products, you will lead the development of AI-enabled features alongside traditional software development, including building integration layers that connect AI services to existing applications and designing advanced AI-powered workflows. Here’s a breakdown of what you’ll do (not all of it, just the important stuff): Lead the design and implementation of backend microservices using Python and AI integration infrastructure (MCP servers, orchestration layers, API gateways) Develop scalable full-stack applications using Python, React, and TypeScript Design and implement AI-powered features, including advanced RAG systems, agentic workflows, and multi-step reasoning pipelines Build integration layers connecting AI capabilities to existing SaaS applications Work with AWS cloud services to architect and deploy scalable, production-ready systems Establish AI engineering best practices, security patterns, and quality standards Lead technical initiatives from requirements through architecture, development, and production deployment Make critical architectural decisions balancing performance, scalability, cost, and maintainability Design AI evaluation frameworks and quality benchmarks for production AI systems Debug and resolve complex production issues across both traditional and AI-powered systems These are the essentials you’ll need to get an interview: Tech Stack Core: Python, React, TypeScript, AWS, PostgreSQL, Docker AI & Integration: Python, MCP, AWS Bedrock, LangGraph/Semantic Kernel, Vector Databases, RAG Core Technical Skills 6+ years of professional software development experience with a strong full-stack background Strong expertise in Python development with FastAPI or similar frameworks Advanced experience building React applications using TypeScript Strong experience designing and implementing REST APIs and backend services Extensive experience working with AWS cloud services and distributed architectures Expertise in PostgreSQL database design, optimization, and performance tuning Deep understanding of microservices architecture, distributed systems, and API design Strong understanding of modern frontend architecture and component-driven design Mastery of software design patterns, clean code principles, and scalable system design AI/ML Expertise (2+ years required) 2+ years of hands-on experience building and deploying production AI/ML features Strong Python development with AI/ML frameworks and LLM integrations Deep experience working with AWS AI services, especially AWS Bedrock Experience designing and implementing MCP servers and AI integration architectures Advanced prompt engineering techniques, including chain-of-thought reasoning and few-shot learning Experience building agentic AI systems, including multi-agent orchestration and tool integrations AI Production Excellence Designs AI evaluation frameworks with measurable quality metrics Deep understanding of AI system challenges such as hallucinations, context limits, latency, and cost optimization Implements monitoring, logging, and observability for AI systems Strong understanding of AI security practices, including prompt injection prevention and data protection Promotes responsible AI practices, including bias detection, fairness, and transparency Technical Leadership Leads technical design discussions and architectural decisions Identifies systemic engineering challenges and drives improvements Makes sound technical decisions under uncertainty Mentors and supports junior engineers when needed Communication & Collaboration Explains technical concepts clearly to both engineering and cross-functional teams Engages constructively in code reviews and architecture discussions Works effectively with product managers, designers, and other engineering teams Documents code, APIs, and technical decisions Ownership & Execution Follows through on deliverables and commitments Completes complex engineering tasks independently Comfortable seeking collaboration or help when needed Takes end-to-end ownership of features from design through deployment 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. 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 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. We are a drug free workplace. 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 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 recruitment@diligent.com. To all recruitment agencies: Diligent does not accept unsolicited agency resumes. Please do not forward resumes to our jobs alias, Diligent employees or any other organization location. Diligent is not responsible for any fees related to unsolicited resumes.

Responsibilities

The engineer will lead the design and implementation of backend microservices using Python and AI integration infrastructure, while also developing scalable full-stack applications using Python, React, and TypeScript. Key tasks include designing and implementing AI-powered features like RAG systems and agentic workflows, and building integration layers connecting AI capabilities to existing SaaS applications.