Technical Lead - FICO Cloud & Decisioning Architect

Tata Consultancy Services Limited; Woodbridge Township (NJ); On-site; USD 120,000 - 155,000; Full time

Job summary

Tata Consultancy Services Limited in Colonia, NJ seeks a Technical Lead to translate credit risk requirements into scalable architectures. You will own solution design, guide FICO decisioning, and drive integration across cloud and on-prem systems.

You will mentor developers, manage CI/CD for rule artifacts, enforce security and compliance, and collaborate with FICO professional services to deliver reliable, low-latency decisioning platforms.

Qualifications

• 8+ years in software engineering with 3-5+ years hands-on with FICO decisioning or fraud tools.
• Strong Java and Python development, REST APIs, Kafka, and microservices experience.
• Experience with Docker/Kubernetes and cloud platforms (AWS/Azure).
• Familiarity with PCI-DSS, SOC 2, GDPR compliance and RBAC.

Responsibilities

• Architect and design scalable decision architectures linking FICO engines with enterprise systems.
• Lead FICO decision engineering including scorecards, rules, and model deployments.
• Design REST/gRPC APIs, Kafka data pipelines for cloud data hydration.
• Lead sprint planning, code/rule reviews, mentoring, and serve as technical contact.
• Implement CI/CD, automate tests, and enforce version control and audits.
• Ensure security/compliance (PCI-DSS, SOC 2, GDPR) and implement RBAC.

Skills

Java

Python

REST APIs

Kafka

Microservices

Docker/Kubernetes

Education

Bachelor or Master Computer Science

Tools

AWS

Azure

CI/CD

Agile/Scrum

Job description

Tata Consultancy Services Limited in Colonia, NJ seeks a Technical Lead to translate credit risk requirements into scalable architectures. You will own solution design, guide FICO decisioning, and drive integration across cloud and on-prem systems.

You will mentor developers, manage CI/CD for rule artifacts, enforce security and compliance, and collaborate with FICO professional services to deliver reliable, low-latency decisioning platforms.