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Job Description

Position : Lead Java Full Stack

Company Info : Prama (HQ : Chandler, AZ, USA)

Prama specializes in AI-powered and Generative AI solutions for Data, Cloud, and AI. We collaborate with businesses worldwide to develop platforms and AI-powered products that offer valuable insights and drive business growth. Our comprehensive services include architectural assessment, strategy development, and execution to create secure, reliable, and scalable systems. We are experts in creating innovative platforms for various industries. We help clients to overcome complex business challenges. Our team is dedicated to delivering cutting-edge solutions that elevate digital experience for corporations. Prama is headquartered in Phoenix with offices in USA, Canada, Mexico, Brazil and India.

Location : Bangalore | Ahmedabad | Hybrid

Product : Finomics AI-Driven Financial Intelligence Platform

Benefits : 5 Day Working | Career Growth | Flexible working | Medical Insurance

About Finomics (Product Overview) :

Finomics is Pramas AI-powered Financial Intelligence & Operations Automation platform designed to help enterprises streamline financial workflows, unify data, and make smarter, faster decisions. Built on modern cloud-native architecture, Finomics leverages AI, predictive analytics, and automated workflows to simplify complex financial processes such as reconciliation, forecasting, compliance, and reporting.

JOB DESCRIPTION :

We are seeking a Lead Full Stack Engineer to architect, design, and deliver enterprise-grade systems for the Finomics platform. As part of the Finomics engineering team, you will contribute to building a high-performance, scalable product that empowers finance teams with real-time insights and transforms traditional financial operations into intelligent, automated systems.

Key Responsibilities :

Technical Leadership :

- Lead a team of full-stack engineers through design, development, and deployment cycles.

- Drive technical decision-making, architecture discussions, and best engineering practices.

Backend Engineering (Primary Focus) :

- Architect and build scalable microservices using Java (must) and Python (good to have).

- Design secure, high-performance RESTful APIs and backend components.

Cloud & DevOps :

- Architect and deploy applications on AWS (Lambda, ECS, EKS, RDS, SQS, DynamoDB, API Gateway, etc.).

- Ensure CI/CD, automation, observability, and cloud cost optimization.

Frontend Engineering :

- Oversee frontend development using ReactJS, ensuring seamless UI/UX integration with backend services.

Data & Database :

- Design efficient relational and NoSQL schemas.

- Optimize database queries and ensure data integrity for financial data workflows.

Product Collaboration :

- Work closely with Product Owners and Finomics stakeholders to refine requirements and deliver business-critical features.

- Translate complex financial workflows into scalable technological solutions.

Code Quality & Review :

- Set coding standards, perform in-depth code reviews, and mentor team members.

- Ensure security, scalability, and maintainability across the stack.

Problem Solving & Production Support :

- Troubleshoot complex technical issues across backend, frontend, and AWS infrastructure.

- Ensure high system availability and performance for financial operations.

Required Skills & Qualifications :

- 7+ years of total experience in software development, including leadership or team-lead responsibilities.

- Strong expertise in Java (primary backend language).

- Experience with Python.

- Hands-on experience with AWS architecture & deployment.

- Experience with ReactJS, TypeScript, and modern frontend tooling.

- Strong understanding of microservices, distributed systems, and event-driven architecture.

- Experience with SQL (e.g., PostgreSQL, MySQL) and NoSQL (MongoDB, DynamoDB).

- Strong API design skills (REST / GraphQL).

- Familiarity with Docker, CI/CD pipelines, Git, and cloud-native tools.

- Excellent communication skills and ability to lead and collaborate in a fast-paced, product-driven environment.


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