Job Title

About UsFounded in 2019, Stride Ventures is India’s fastest credit investor to deploy $1 billion and the most active startup investor in the country - now scaling rapidly across global private market strategies.We partner with founders and investors to create non-dilutive financing structures that help growth-stage startups scale responsibly and sustainably.Headquartered in India, with a growing presence across the GCC, the UK, and Southeast Asia, Stride is building a global platform spanning new markets and capital strategies - extending its reach across asset classes, and shaping the future architecture of private markets that is technology-driven and deeply aligned with the ambitions of founders and investors.About the Opportunity :Key Responsibilities:- Design, develop and maintain high-performance backend services for internal tools and AI-driven applications. - Design and develop core modules covering deal origination, due diligence, loan management, repayments, covenants, and default management. - Architect APIs, workflows, and middleware to support integrations with CRMs, external data sources (PitchBook, Crunchbase), payment gateways (Razorpay, NPCI), e-signature tools, and accounting systems. - Implement workflow automation features (loan approvals, NDAs, investment memos) using microservices and event-driven architecture. - Implement security, compliance, and auditability features across modules (including KYC, DLP, RBI guidelines adherence, and audit trails). - Manage database design and data migration, ensuring high availability, data consistency, and scalability. - Enable workflow automation for notifications, checklists, approvals, and covenant monitoring. - Collaborate with frontend and DevOps teams to ensure smooth deployments, containerization, and CI/CD best practices. - Integrate machine learning models and NLP pipelines into backend services for real-time decisioning and document automation. - Collaborate with product, operations, and investment teams to identify and prioritize. - Write clean, maintainable, and well-tested code; participate in code reviews and system design sessions with agile and scrum methodologies. - Optimize systems for low-latency, high availability, and fault tolerance across cloud platforms. - AI/ML & NLP: Exposure to AI/ML pipelines using Sci-Kit Learn and PyTorch, NLP frameworks, or integrating models into production; hands-on experience with LangChain for LLM application development, integration of LLMs (Large Language Models), RAG (Retrieval-Augmented Generation) workflows, and Vector databases for semantic search and knowledge retrievalIdeal Qualifications:- B.E/ B.TECH./M.TECH or any other relevant engineering degree from a reputed Tier I/II university. - 2-4 years of proven work experience across BFSI space building modules and integrations across products. - Past experience with financial services or lending platforms and comfort with high compliance/regulated environments. - Hands-on exposure to LLM (Large Language Model) integration, RAG (Retrieval-Augmented Generation) workflows, and vector database systems for intelligent search and knowledge retrievalRequirements:- Programming Languages - Proficient in Java (Spring Boot), Python (Django/Flask), or Node.js for enterprise application development. - Track record building high quality software with design-focused and test-driven approaches. - Strong knowledge of Open-Source technology stack (Spring, Hibernate, Maven, JUnit). - Experience with relational database and/or NoSQL Database distributed systems, caching (Redis), and message queues (RabbitMQ, Pub/Sub, Apache Cassandra). - Experience with cloud platforms AWS (EC2, RDS, S3), Azure, or Google Cloud experience, container orchestration (Kubernetes, Docker), and infrastructure as code (Terraform). - Testing & CI/CD experience with automated testing, build, and deployment pipelines (e.g., Jenkins, GitLab CI). - Great analytical, problem-solving and communication skills. - Some experience or a real interest in finance, investment processes, and/or an ability to translate business problems into technical solutions. - Candidate should have experience leading development teams, projects or being responsible for the design and technical quality of a significant application, system, or solution. - Ability to form positive relationships with partnering teams, sponsors, and user groups. - Candidate should have experience in building microservices and APIs ideally RESTful API architecture, integration with third-party APIs (banking, KYC, payments). - Candidate should have experience in high scale distributed technology like Kafka, Mongo, Ignite, Redis. - Candidate should have experience in DevOps and tools like Azure DevOps. - Exposure to AI/ML pipelines, NLP frameworks, or integrating models into production is a plus. - Reporting and Analytics like Integration with BI tools (Tableau, Power BI), scenario analysis, dashboard APIs. - Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams. - Interest in venture debt, fintech, and startup ecosystems is a bonus.