Lead AI-Native Platform Engineer (Backend & Salesforce)

UKG

Atlanta (GA)

On-site

USD 134,000 - 191,000

Full time

12 days ago

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Job summary

UKG is seeking a Lead Software Development Engineer to shape AI-native, highly scalable enterprise platforms. You will guide platform architecture, mentor senior engineers, and collaborate with product, business, and AI/ML teams to translate complex requirements into resilient, secure software solutions.

You will drive integration with Salesforce, establish high-availability practices, and advocate engineering excellence across backend and cloud-native services at scale.

Qualifications

  • 7+ years of professional software engineering experience with distributed, highly available enterprise systems.
  • Deep expertise in backend design, RESTful/gRPC APIs, event‑driven architectures and enterprise patterns.
  • Hands‑on experience integrating, scaling, and productionizing AI/ML applications, LLM APIs, RAG pipelines, or agentic frameworks.
  • Proven experience designing systems that interface with Salesforce and orchestrating complex integrations.
  • Exceptional analytical and problem-solving skills, with the ability to articulate architecture to stakeholders.

Responsibilities

  • Design scalable backends and API platforms capable of handling high-volume transaction loads.
  • Drive AI-native evolution with LLM-based services and autonomous agentic AI frameworks.
  • Design and optimize secure, real-time data flows and integrations with Salesforce.
  • Establish observability, monitoring, and resilience to meet high-availability SLAs.
  • Lead technical reviews and influence cross-functional teams across backend and AI/ML groups.

Skills

Backend system design
RESTful APIs
Event-driven architectures
AI/ML integration
Salesforce integration
Leadership
Communication

Tools

Salesforce

Job description

UKG is seeking a Lead Software Development Engineer to shape AI-native, highly scalable enterprise platforms. You will guide platform architecture, mentor senior engineers, and collaborate with product, business, and AI/ML teams to translate complex requirements into resilient, secure software solutions.

You will drive integration with Salesforce, establish high-availability practices, and advocate engineering excellence across backend and cloud-native services at scale.

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