Job highlights

- BTech (Computer Science,IT,or related field) is mandatory . 6-18 months of professional software engineering experience (internships plus a first full-time role is fine
- should have worked in a real production / team setting,not purely academic projects) .
- Basic exposure to AI / LLM APIs (Anthropic Claude,OpenAI) is a bonus,not required . Additional Desirable Experience

Job Summary Windy Street is building a technology platform for financial due diligence (FDD) - the analytical work that supports private equity transactions. Our customer is a US-based CPA firm; their customer is a private equity firm acquiring a target company. This work is done today by trained financial professionals using Excel, Word, and PowerPoint over multi-week engagements that produce a signed-by-partner deliverable.

Our tool reshapes that workflow with deterministic computation engines, AI-augmented analysis, multi-user coordination, and an audit-trail layer that makes the partners review process meaningfully faster. The tool covers approximately twenty analytical modules across three stages: Stage 1 - data construction (ingesting general ledgers, mapping accounts, building multi-period reconciliations); Stage 2 - analysis (rent schedules, payroll analysis, revenue cuts, healthcare waterfalls, and similar); Stage 3 - consistency checking and report assembly.

Were looking for an early-career engineer with roughly 6-18 months of professional experience not a first time fresher, but someone who has already worked in a real team, shipped real code, and is ready to take on more ownership. This role is intentionally full-stack to begin with: youll work across the front end and back end of the FDD platform, and as our technology needs evolve, youll have the chance to specialize further - particularly on the backend and data side - as the team and product suite grow.

Responsibilities

- Build and maintain features across the stack - UI components, APIs,



and data/storage layers - for the FDD platforms analytical modules
- Build and maintain front-end features using modern JavaScript/TypeScript frameworks (React or equivalent), translating UI/UX designs into responsive, functional interfaces
- Develop and support backend APIs and services that power core product modules, under the guidance of senior engineers
- Assist with general ledger ingestion pipelines and data mapping logic for supported accounting systems (QuickBooks, NetSuite, Xero, Sage Intacct)
- Write clean, well-tested, maintainable code, working closely with senior engineers and the tech lead
- Take ownership of small modules or features end-to-end, from requirement discussion through to deployment
- Debug and resolve issues across the front end, back end, and integrations, escalating complex problems appropriately
- Participate actively in code reviews, sprint planning, and design discussions
- Work with the UI/UX engineer, product owners, and business stakeholders (deal, audit, and accounting teams) to understand workflows and translate them into working software
- Support the team in maintaining and improving the consistency check library and regression test suite
- Write and maintain basic technical documentation for the code you own
- Be open to shifting focus over time - for example, moving from a front-end-heavy load today to a more backend- or data-focused role as priorities evolve - and to being mentored/trained accordingly

Required Qualifications

- B.Tech (Computer Science, IT, or related field) is mandatory




- 6-18 months of professional software engineering experience (internships plus a first full-time role is fine; should have worked in a real production/team setting, not purely academic projects)
- Solid fundamentals in at least one modern programming language (JavaScript/TypeScript, Python, or Java)
- Working knowledge of a front-end framework (React preferred; Angular/Vue acceptable) and back-end basics (Node.js/Express, FastAPI, or equivalent, REST APIs)
- Basic understanding of databases (SQL/NoSQL queries and simple schema design)
- Comfortable with Git and standard development workflows (branching, PRs, code review)
- Strong problem-solving and debugging ability; can work through an unfamiliar codebase with some guidance
- Genuine willingness and aptitude to learn new parts of the stack (especially backend/data engineering) over time
- Good communication skills and comfort working in a small, fast-moving team with direct access to senior engineers and leadership

Good to Have

- Exposure to cloud platforms (AWS preferred; GCP or Azure acceptable)
- Experience with automated testing (unit/integration tests)

- Familiarity with CI/CD pipelines
- Interest in or exposure to the fintech, audit, or accounting domain
- Experience working with relational databases in a production setting
- Familiarity with Excel/Word automation libraries (openpyxl, python-docx)
- Basic exposure to AI/LLM APIs (Anthropic Claude, OpenAI) is a bonus, not required

Additional Desirable Experience

- Exposure to data-intensive or finance-related applications
- Familiarity with Excel/Word automation libraries (openpyxl, python-docx) is a plus

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Full Stack Engineer (Gurugram)
🏢 Windy Street Consultants
📍 Gurugram