Full Stack Engineer

Zensar Technologies
Indian Mound, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Indian Mound, United States of America

Tech stack

Java
Artificial Intelligence
Databases
Continuous Integration
Software Debugging
Distributed Systems
Cloud Services
Software Safety
Cloud Platform System
Large Language Models
Model Validation
GIT
Usage Tracking
Integration Tests
Front End Software Development

Job description

Experteer Overview As Lead for Revenue Connect, you will design, build, and operate core distributed services in a next-gen cloud platform for commercial pricing and billing. You'll drive AI-powered capabilities and influence component architecture while mentoring engineers and accelerating delivery as we scale to hundreds of financial institutions. This role blends hands-on development with cross-functional collaboration to deliver fast, reliable, and compliant fintech solutions. You'll help embed AI features across the product, ensuring safe, governed use of models and data. This is an opportunity to shape the platform that banks rely on for pricing, billing, and payments at scale. Compensation / Benefits * Translate complex requirements into clean, maintainable code * Design, develop, and maintain software delivering end-user value * Implement AI-powered capabilities with product and principal engineers * Optimize algorithms, data usage, and cloud services for latency, availability, and cost * Debug issues to ensure business continuity and high user experience * Raise engineering bar via code/design reviews for maintainability, security, performance, and AI safety * Write unit and integration tests, ensure observability, and maintain deployment quality * Participate in on-call rotation and own incidents from root cause to prevention * Collaborate with cross-functional teams to bring ideas to life * Mentor junior engineers and contribute to knowledge sharing and AI upskilling Tasks * Bachelor in CS or equivalent experience * 5+ years of relevant professional experience * Proven experience shipping AI-enabled features in production * Proficiency in at least one modern development framework/language (e.g., Java) * Strong communication and cross-functional collaboration skills * Experience leading projects from architecture to production * Expertise in cloud-based platform areas (fintech, distributed systems, databases, security, or front-end) * Security, privacy, and compliance acumen for financial data and AI safety * Experience with Git and CI/CD practices * Leadership and ability to mentor engineers and influence stakeholders * Hands-on experience integrating LLMs, RAG pipelines, model evaluation, or anomaly detection into production systems Key requirements * Flexible and creative work environment * Diverse and collaborative atmosphere * Professional and personal development resources * Opportunities to volunteer and support charities * Competitive salary and benefits

Requirements

and cost * Debug issues to ensure business continuity and high user experience * Raise engineering bar via code/design reviews for maintainability, security, performance, and AI safety * Write unit and integration tests, ensure observability, and maintain deployment quality * Participate in on-call rotation and own incidents from root cause to prevention * Collaborate with cross-functional teams to bring ideas to life * Mentor junior engineers and contribute to knowledge sharing and AI upskilling Tasks * Bachelor in CS or equivalent experience * 5+ years of relevant professional experience * Proven experience shipping AI-enabled features in production * Proficiency in at least one modern development framework/language (e.g., Java) * Strong communication and cross-functional collaboration skills * Experience leading projects from architecture to production * Expertise in cloud-based platform areas (fintech, distributed systems, databases, security, or front-end) * Security, privacy, aI _ compliance acumen for financial data and AI safety * Experience with Git and CI/CD practices * Leadership and ability to mentor engineers and influence stakeholders * Hands-on experience integrating LLMs, RAG pipelines, model evaluation, or anomaly detection into production systems Key requirements * Flexible and creative work environment * Diverse and collaborative atmosphere * Professional and personal development resources * Opportunities to volunteer and support charities * Competitive salary and benefits

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