Synchrony

Overview

We are looking for a hands-on Principal Engineer / Tech Lead who can both build and guide the delivery of production-grade agentic AI and cloud-native applications.

About Synchrony

Synchrony (NYSE: SYF) is a leading consumer financing company that has been at the heart of American commerce and opportunity for nearly a century. Synchrony delivers credit and banking products that empower tens of millions of consumers to improve their financial lives and access what matters most.

Requirements & Eligibility

• Minimum 8+ years of experience building cloud-native, production-grade applications using Java, Spring Boot, Python, REST APIs, microservices, Kafka, and event-driven architecture.
• Minimum 8+ years of understanding of distributed systems, scalability, resiliency, security, CI/CD, automated testing, observability, logging, metrics, tracing, and on-call readiness.
• Experience engineering agentic AI applications with tool integration, memory, guardrails, evaluations, identity, governance, and production operational controls.
• Strong technical leadership and design thinking skills, with the ability to guide architecture, mentor engineers, collaborate across teams, and translate business needs into scalable solutions.
• Minimum 8+ Years of experience with a Bachelor's Degree or equivalent. In Lieu of degree, minimum of 10 years of experience required.

Key Responsibilities

• Lead the design and delivery of production-grade agentic AI and cloud-native applications, ensuring scalability, reliability, security, maintainability, and operational readiness.
• Own the engineering quality bar for 1–2 teams by setting standards for architecture, code quality, testing, CI/CD, observability, runbooks, and on-call readiness.
• Write hands-on production code using Java, Spring Boot, Python, Kafka, APIs, and cloud-native design patterns, while mentoring engineers through code reviews, design reviews, and pairing.
• Apply design thinking to translate business needs into scalable technical solutions, guiding discovery, prototyping, validation, and iterative delivery.
• Integrate with enterprise platform capabilities such as model gateways, tool/service registries, memory stores, guardrails, identity services, evaluation frameworks, and operational controls.