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.   

Summary   

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. 

Education & Experience   

• 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. 

Job Duties   

• 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. 

Knowledge, Skills, Abilities   

Core Backend & Architecture 

• 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). 

Cloud & DevOps 

• 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. 

AI / Python / Integration 

• 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. 

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.   

Leadership & Collaboration Competencies 

• 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. 

If you are a seasoned software engineer with a passion for leading innovative Java cloud solutions and driving business value in a dynamic Sales Domain IT environment, we encourage you to apply.   

PHYSICAL DEMANDS: None Required   

LICENSES & CERTIFICATIONS: None Required