Lead Architect: Product Engineer

Fractal Analytics; Bengaluru; On-site; INR 3,500,000 - 7,500,000; Full time

Job summary

Fractal Analytics is seeking a senior engineering lead to own the engineering side of Cogentiq I2C, overseeing the frontend, service layer, data tier, and infrastructure. You will drive architecture decisions, set coding standards, and deliver robust, scalable systems that power invoice-to-cash processes.

You will collaborate with AI leads, product management, and data teams, guiding sprint work, performance optimization, and release readiness.

Qualifications

• Ten to fourteen years building software, with leadership experience.
• Proven track record owning technical design for a product.
• Deep expertise in at least one tier (frontend, backend, data).
• Strong Python and production experience with FastAPI or similar.
• Modern frontend knowledge: React or Next.js, strong enough to set patterns.
• Data engineering depth: Spark and Databricks, Delta Lake, SQL.
• Understanding of LLM/agentic systems to support platform.
• Product engineering track record across multiple clients.
• Working engineering discipline: VCS, CI/CD, testing, environments, incidents.
• Cloud experience on Azure or equivalent.

Responsibilities

• Lead the engineering team; set standards and unblock work.
• Own the engineering side from front end to data and infrastructure.
• Define interfaces with the agent runtime and AI leads.
• Ensure technical quality: reviews, testing, performance trade-offs.
• Oversee CI/CD, environments, releases, and incident response.
• Translate roadmap into sprint plans and track progress.

Skills

Software architecture

Team leadership

Python

FastAPI

React/Next.js

Spark/Databricks

Azure Cloud

CI/CD

Tools

Next.js

FastAPI

React

Databricks

PostgreSQL

Job description

It'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 role

Cogentiq 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!