Company Overview

Incedo is a US-based consulting, data science and technology services firm with over 3000 people helping clients from our six offices across US, Mexico and India. We help our clients achieve competitive advantage through end-to-end digital transformation. Our uniqueness lies in bringing together strong engineering, data science, and design capabilities coupled with deep domain understanding. We combine services and products to maximize business impact for our clients in telecom, Banking, Wealth Management, product engineering and life science

& healthcare industries.

Working at Incedo will provide you an opportunity to work with industry leading client organizations, deep technology and domain experts, and global teams.

Incedo

University, our learning platform, provides ample learning opportunities starting with a structured onboarding program and carrying throughout various stages of your career. A variety of fun activities is also an integral part of our friendly work environment. Our flexible career paths allow you to grow into a program manager, a technical architect or a domain expert based on your skills and interests.

Our Mission is to enable our clients to maximize business impact from technology by

- Harnessing the transformational impact of emerging technologies
- Bridging the gap between business and technology

Role Description

This is a role for a senior developer who thrives in a structured, AI-augmented environment where engineering rigour and velocity coexist. You'll work on a complex financial platform with real-time collaboration, cloud-native architecture, and a mature SDLC process — all amplified by AI tooling that handles the ceremony so you can focus on solving hard problems.

The Control Tower isn't bureaucracy — it's leverage. Specs become code faster. Reviews catch more. Knowledge persists across sessions. The developer who embraces this workflow ships more, with fewer defects, and leaves a transparent trail for everyone who follows.

HUB Tech Platform · SDLC Control Tower v5.x · Fund Expense Management

2. What You'll Build

The platform covers expense capture, allocation, contract management, approval workflows, GL posting, and reporting. Invoices and expenses flow in from multiple channels (PDF upload with AI extraction, webhook integrations, polling adapters, email inboxes), get normalised, classified, allocated across funds using a configurable rule engine, approved, and posted outbound to GL systems and fund admin platforms.



The entire lifecycle is period-scoped, audited, and collaborative in real-time.

Technical Challenges

- External system integrations — Developing and maintaining integrations with a growing suite of external systems (expense providers, GL platforms, procurement tools, payment systems). Each system has distinct auth patterns (OAuth2, session-based, API-key), payload formats, sync strategies (webhooks vs polling), and idempotency requirements. Built behind a provider-agnostic adapter pattern so new integrations are additive, not invasive.
- AI/LLM pipelines — Invoice OCR extraction via Azure Document Intelligence, plus LLM-powered contract parsing (extracting terms, service lines, and renewal dates from vendor contract PDFs using Azure OpenAI). Confidence scoring, human-in-the-loop review when AI confidence is low, and structured data output from unstructured documents.
- Rule-based allocation engine — A configurable calculation engine supporting multiple allocation methodologies (percentage, NAV-weighted, usage-based, product/team-based, chained rules). Effective-dated rule versions, atomic chain execution, reactive triggers, and penny-exact rounding guarantees.
- Real-time multi-user architecture — Server-Sent Events (SSE) broadcasting entity-level changes to all connected sessions. Optimistic locking with version-based conflict detection. Period-scoped state that locks and unlocks across all users simultaneously.
- Contract management — Vendor contract lifecycle (upload, AI-parse, link to expenses, track service lines and renewal dates). Contracts inform allocation rules and provide the reference point for expense validation — "is this charge consistent with what the contract says?"
- Reporting & GL posting — Configurable report templates, fund-level analytics dashboards with interactive drill-down, multi-format export (Excel, PDF, CSV). Outbound GL posting transforms allocated expenses into journal entries for external accounting systems, with approval gates and preview before commit.
- Period & accounting lifecycle — Open/close/reopen accounting periods, immutable allocation snapshots,



adjustment-only corrections post-lock, real-time KPI dashboards, and budget threshold alerting with automatic approval routing.
- Workflow & approval engine — Configurable multi-step approval workflows triggered by business rules (allocation thresholds, budget breaches, period close). Routing logic, escalation paths, delegation, and audit trails.

Technical Skills

Must Have

- 5+ years production experience with Java 17+ / Spring Boot 3.x
- Strong Spring Data JPA + relational database skills (SQL Server / MSSQL preferred)
- Experience with React 18 (hooks, functional components, state management)
- Proven ability to work with RESTful API design and OpenAPI contracts
- Comfortable with Azure cloud services (AD/Entra ID, Service Bus, Storage, or equivalents)
- Experience with CI/CD pipelines and containerised deployments (Docker, Kubernetes)
- Strong understanding of software architecture — can produce and review ADRs, data models, API contracts
- Demonstrated ability to work with AI coding assistants (Copilot, Cursor, Windsurf, or similar) as a daily productivity tool

Should Have

- Experience with event-driven architectures (Kafka, Azure Service Bus, SSE)
- Familiarity with Microsoft Fabric or Azure Data Lake / Lakehouse patterns
- Background in financial services — fund administration, expense allocation, NAV, accounting periods
- Experience with AG Grid (Enterprise) or complex data-grid UIs
- Understanding of spec-driven development or similar structured engineering methodologies (TDD, BDD, DDD)
- Experience with Flyway or similar schema migration tooling

Nice-to-have skills

Nice to Have

- Experience with Azure Document Intelligence (Form Recognizer) or OCR pipelines
- Exposure to agentic AI workflows — prompt engineering, multi-step AI pipelines, trust gates
- Familiarity with Helm charts and Kubernetes deployment patterns
- Knowledge of MapStruct and Lombok in enterprise Java projects
- Contributions to engineering process improvement — frameworks, templates, developer experience

Qualifications

Qualifications
- 4-6 years of work experience in systems or application development
- B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Company Value

We value diversity at Incedo. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

📌 Full Stack Java Developer (Gurugram)
🏢 Incedo
📍 Gurugram