Lead Architect: Product Engineer

Fractal Analytics Inc.; Mumbai; Hybrid; INR 400,000 - 700,000; Full time

Job summary

Fractal Analytics Inc. in Mumbai and Bengaluru is seeking a Lead Architect: Product Engineer to drive the engineering design of Cogentiq I2C and our data and platform stack.

You will own the front end, service layer, data tier, and infrastructure, delivering robust systems and setting engineering standards. You will lead the engineering team, collaborate with product management, and hands-on code across tiers, including Python, FastAPI, React/Next.js, Spark/Databricks, Delta Lake, and Azure

Qualifications

• Ten to fourteen years of software development experience.
• Proven track record leading a product engineering team.
• Deep expertise across frontend, backend, data, and platform layers.
• Strong Python and production experience with FastAPI.
• Hands-on experience with React/Next.js.
• Cloud experience on Azure.

Responsibilities

• Own technical design and platform decisions for the product.
• Deliver across front end, service layer, data tier, and infrastructure.
• Lead and coach the engineering team to hit roadmaps.
• Manage CI/CD, environments, deployment and incident response.

Skills

Python

FastAPI

React/Next.js

Data engineering

Azure

CI/CD

Testing

Version control

Job description

## Lead Architect: Product EngineerApply: Bengaluru: Mumbai: Full time: Posted Today: SR-45877It's fun to work in a company where people truly BELIEVE in what they are doing!*We're committed to bringing passion and customer focus to the business.*# The roleCogentiq I2C is Fractal’s agentic AI Product for invoice-to-cash, covering Collections, Cash Application, Deductions, Invoice Management and Credit Risk. It runs on a Next.js front end, a FastAPI service layer, the Cogentiq agentic runtime, and a data tier on Azure Databricks with PostgreSQL. The product is led by two engineering leads at the same level. One owns the AI side: agents, models and everything that makes them work. You own the engineering side: the application, the services, the data and the platform they run on. You design it, you lead the team that builds it, and you write code yourself.# # What you will own* Technical design of the engineering side, including the platform decisions that shape what can be built later.* Delivery across the front end, the service layer, the data tier and the infrastructure they run on.* The interfaces between your side and the agent runtime, agreed jointly with the AI Lead.* Technical quality: code review standards, testing, performance, and the trade-offs taken to hit a date.* Engineering health: CI/CD, environments, release process, technical debt and incident response.* The engineering plan: breaking the roadmap into sprint work, estimating honestly, and flagging slippage early.# # How you will work* Lead the engineering team. Set standards, coach engineers, and keep the team unblocked.* Stay in the code. Take the hardest slices yourself and set the patterns others follow.* Work with product management on feasibility, sequencing and trade-offs, so external commitments are grounded.# # What you must have* Ten to fourteen years building software, with at least three leading a team or a full product build.* Track record of owning technical design for a product, not only implementing someone else’s design.* Deep expertise in at least one tier, and enough working command of the others to lead, review and debug across all of them.* Strong Python, and production experience with FastAPI or an equivalent service framework.* Practical experience of a modern front end, typically React or Next.js, enough to hold the standard even if you are not the primary developer.* Data engineering depth: Spark and Databricks, Delta Lake, SQL, and sound judgement on what belongs in a lakehouse and what belongs in PostgreSQL.* Enough understanding of LLM and agentic systems to build the platform they depend on and to hold engineering side of a design.* Product engineering track record: software built for many clients, not one-off delivery for a single engagement.* Working engineering discipline: version control, CI/CD, automated testing, environment management, structured incident handling.* Cloud experience on Azure or equivalent.# # Good to have* Order-to-cash or accounts receivable domain knowledge, and familiarity with SAP FI-AR or an equivalent.* Enterprise integration experience: ERP connectors, schema drift, reconciliation.* Multi-tenant platform experience, including access control and tenant separation.If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!