Full Stack Engineer

Company Description Nexedge Capital is an elite wealth management and multi-family office firm focused on serving ultra-high-net-worth families and corporates as a trusted net worth partner. The firm provides an end-to-end ecosystem that integrates investment management, portfolio construction, estate planning, and global mobility, tailored to each client’s goals. Nexedge Capital operates with an open-architecture model, offering unbiased, technology-enabled wealth solutions rooted in objectivity and integrity. With over 1,200+ man-years of collective experience, the team has previously managed assets exceeding $10 billion and earned the trust of 1,000+ UHNI families. The firm is committed to helping clients build enduring legacies by combining financial expertise with values-based stewardship across generations.QualificationsStrong proficiency in Full-Stack Development and Software Development, with experience building end-to-end web applications.Hands-on experience in Front-End Development, including HTML, JavaScript frameworks, and Cascading Style Sheets (CSS) for responsive, accessible interfaces.Solid skills in Back-End Web Development, working with server-side languages, APIs, databases, and application security best practices.Experience with modern development tools and practices (version control systems such as Git, CI/CD pipelines, automated testing, and code review processes).Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.About the roleNexedge Capital is a SEBI-registered wealth management and investment advisory firm building its own technology stack - client portals, RM tooling, and AI-powered platforms - in-house rather than buying off the shelf. We're looking for a full stack engineer to help build and scale the products our RMs and clients use every day: the RM Portal, client-facing dashboards, and the data infrastructure behind them.You'll work across the stack - from React front ends to Postgres/Azure data pipelines - on products used by relationship managers and HNI/UHNI clients across mutual funds, AIFs, PMS, and structured products.What you'll work onBuild and maintain features across the RM Portal and client portal, including portfolio views, holdings/performance dashboards, and reporting toolsWork with our medallion data architecture (ADLS Gen2 - Bronze/Silver/Gold) to build reliable pipelines from source systems into client-facing viewsContribute to backend services on Postgres, including query performance and replication-aware design (we run dedicated read replicas to isolate reporting load from transactional systems)Build responsive, data-dense front ends in React, often paired with Chart.js for portfolio visualizationsCollaborate with the AI team on integrating internal tools (Nex AI, RM Bot, Client Bot) into existing productsParticipate in code review, technical design discussions, and incident response as we scaleWhat we're looking for3–6 years building production full stack applications (adjust range based on seniority you're targeting)Strong hands-on experience with React (hooks, state management, component architecture) and a modern backend language/framework (Node.js, Python, or similar)Solid SQL skills and experience with Postgres or another relational database at production scaleExperience with cloud infrastructure, ideally Azure (ADLS, App Services, Azure Functions) - GCP/AWS equivalent experience is fine tooComfort working with REST APIs and integrating third-party or internal data sourcesUnderstanding of data security fundamentals - encryption, access control, secure handling of sensitive financial dataAbility to work independently and communicate clearly with both technical and non-technical stakeholders (RMs, compliance, leadership)Good to haveExperience in fintech, wealth management, or financial servicesFamiliarity with data lake architectures (medallion/Bronze-Silver-Gold, Delta Lake, or similar)Exposure to charting libraries (Chart.js, D3, Recharts) for financial data visualizationUnderstanding of regulatory/compliance considerations in financial services (SEBI, data privacy frameworks like DPDPA)Interest in applied AI - we're actively building AI tooling into internal and client-facing products