Backend Engineer – Fintech x AI Platforms

About Us

Founded 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.

India

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 retrieval

Ideal 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 retrieval

Requirements:

• 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.