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Genuine Parts Company Logo Genuine Parts Company · IT - Software Development

Software Engineer IV - Sales Domain (Java / Google Cloud / AI Enablement)

United States, Birmingham Employment contract · Job Posted June 28, 2026
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Job Description

We are seeking a highly experienced Software Engineer IV to join our Sales Domain IT team. This role will lead the design, development, and modernization of scalable, cloud-native applications in a Google Cloud environment, with a strong emphasis on Java-based microservices (Spring Boot / Quarkus). In addition to core backend leadership, this role will help our domain team integrate and operationalize AI-enabled capabilities and generative AI tools being transitioned from an innovation team. The ideal candidate will bring strong Java expertise, practical exposure to Python-based services, and the ability to guide and upskill a development team in modern cloud and AI-integrated architectures. This position requires hands-on technical leadership, architectural ownership, and a passion for mentoring teams while delivering scalable enterprise solutions that support the full quote-to-invoice lifecycle.

Job Responsibility

  • Lead the design, development, and deployment of cloud-native Java microservices using Spring Boot and/or Quarkus within Google Cloud Platform
  • Architect scalable, reliable, and secure systems aligned to enterprise modernization strategy
  • Drive integration of AI/ML and generative AI capabilities into existing sales domain applications
  • Collaborate with innovation and data teams to operationalize AI solutions into production-grade systems
  • Provide technical leadership across a portfolio of sales-related applications
  • Guide architectural decisions around API design, event-driven systems, and distributed microservices
  • Mentor and upskill developers in: Cloud-native design patterns, Microservices architecture, AI service integration, Python service interoperability
  • Conduct code reviews and promote high standards for maintainability, testability, and documentation
  • Partner with Product Owners, Architects, DevOps, and QA to deliver high-quality solutions
  • Champion CI/CD, DevSecOps, and modern SDLC best practices
  • Help define standards for responsible and scalable AI adoption within the domain

Requirements

  • Expert-level Java proficiency (modern Java versions, concurrency, streams, async patterns)
  • Strong experience with Spring Boot and/or Quarkus
  • Deep understanding of: Microservices architecture, RESTful API design, Event-driven systems, Distributed system patterns
  • Experience with relational databases, JDBC, ORM frameworks
  • Experience with NoSQL/document databases (MongoDB preferred)
  • Experience deploying and managing applications in Google Cloud Platform (preferred) or comparable cloud platforms
  • Experience with containerization (Docker) and CI/CD pipelines
  • Familiarity with Pub/Sub or Kafka-based messaging systems
  • Strong Git-based workflow experience
  • Working knowledge of Python and ability to understand, extend, or refactor Python-based services
  • Experience integrating AI/ML services into enterprise applications
  • Familiarity with: REST-based AI APIs, Model inference services, Prompt-based generative AI integrations, AI service orchestration patterns
  • Understanding of security, governance, and responsible AI considerations in enterprise systems
  • Strong ability to translate complex technical concepts into actionable guidance for teams
  • Proven experience mentoring and elevating engineering teams
  • Comfortable operating in ambiguity and leading modernization efforts
  • Strong communication and cross-functional collaboration skills
  • Ability to influence architectural direction without direct supervisory authority
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field preferred
  • 15+ years of professional software development experience (enterprise-scale systems)
  • 5+ years designing and building cloud-native microservices
  • Experience modernizing legacy systems into distributed cloud architectures
  • Demonstrated experience serving as a technical leader or senior individual contributor
  • Exposure to AI/ML or generative AI system integration in production environments is strongly preferred
  • You must be eligible to work in the US without Visa Sponsorship

Nice to have

  • Familiarity with Google Cloud Platform services such as Google Pub/Sub and Kafka
  • Experience with generative AI platforms or LLM-based application integration
  • Experience with Azure DevOps pipelines and Jira for agile project management
  • Additional knowledge of MongoDB and cloud-native CI/CD pipelines

What we offer

  • Flexible Working Schedules
  • Wellbeing Programs
  • Learning Opportunities
  • Community Engagement
  • Paid Parental Leave
  • Pet Insurance
  • Healthcare coverage
  • 401(k)
  • Tuition reimbursement
  • Vacation, sick, and holiday pay
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