Software Engineer IV - Sales Domain; Java​/Google Cloud

Job Title: Software Engineer IV – Sales Domain (Java / Google Cloud / AI Enablement)

Location: Birmingham, AL

You must be eligible to work in the US without Visa Sponsorship.

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 aninnovationteam. 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
.

• 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.

• 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, Dev Ops, and QA to deliver high‑quality solutions.
• Champion CI/CD, Dev Sec Ops , and modern SDLC best practices.
• Help define standards for responsible and scalable AI adoption within the domain.

• 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 No
  
  SQL/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.

• 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 Dev Ops pipelines and Jira for agile project management.
• Additional knowledge of MongoDB and…