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.

Qualifications

• Strong 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 role Nexedge 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 on

• Build and maintain features across the

RM Portal and

client portal , including portfolio views, holdings/performance dashboards, and reporting tools

• Work with our

medallion data architecture (ADLS Gen2 - Bronze/Silver/Gold) to build reliable pipelines from source systems into client-facing views

• Contribute 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 visualizations

• Collaborate with the AI team on integrating internal tools (Nex AI, RM Bot, Client Bot) into existing products
• Participate in code review, technical design discussions, and incident response as we scale

What we're looking for

• 3–6 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 scale

• Experience with

cloud infrastructure , ideally

Azure (ADLS, App Services, Azure Functions) - GCP/AWS equivalent experience is fine too

• Comfort working with

REST APIs and integrating third-party or internal data sources

• Understanding of

data security fundamentals - encryption, access control, secure handling of sensitive financial data

• Ability to work independently and communicate clearly with both technical and non-technical stakeholders (RMs, compliance, leadership)

Good to have

• Experience in

fintech, wealth management, or financial services

• Familiarity with data lake architectures (medallion/Bronze-Silver-Gold, Delta Lake, or similar)
• Exposure to

charting libraries (Chart.js, D3, Recharts) for financial data visualization

• Understanding 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