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 experiencedSoftware Engineer IVto join our Sales Domain IT team. This role will lead the design, development, and modernization of scalable, cloud-native applications in aGoogle Cloud environment, with a strong emphasis onJava-based microservices (Spring Boot /Quarkus).

In addition to core backend leadership, this role will help our domain team integrate and operationalizeAI-enabled capabilitiesand generative AI tools being transitioned from aninnovationteam. The ideal candidate will bring strong Java expertise, practical exposure toPython-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 fullquote-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/orQuarkuswithin 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 tooperationalizeAI 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.

• Partnerwith 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/orQuarkus.

• 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.

• Experienceintegrating 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