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

USA MOT Motion Industries, Inc.; Alton (IL); On-site; USD 150,000 - 185,000; Full time

Benefits offered by this job

Healthcare coverage

401(k)

Tuition reimbursement

Vacation pay

Sick pay

Holiday pay

Job summary

Motion Industries is seeking a highly experienced Software Engineer IV for its Sales Domain IT team. The role focuses on designing, developing, and modernizing cloud-native Java microservices in Google Cloud, with strong AI-enabled capabilities and generative AI integration.

You will mentor teams, own architectural decisions, and drive end-to-end delivery of enterprise applications across the quote-to-invoice lifecycle.

Qualifications

• Bachelor’s degree in Computer Science, IT, Engineering, or 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.

Responsibilities

• Lead design, development, and deployment of cloud-native Java microservices in Google Cloud.
• Architect scalable, reliable, and secure systems aligned to modernization strategy.
• Drive integration of AI/ML and generative AI capabilities into sales domain apps.
• Collaborate with innovation and data teams to operationalize AI solutions.
• Provide technical leadership across a portfolio of sales applications.
• Guide API, event-driven, and distributed microservices decisions.
• Mentor and upskill developers in cloud-native design, AI integration, and Python interoperability.
• Conduct code reviews and promote high standards for maintainability and documentation.
• Partner with Product Owners, Architects, DevOps, and QA to deliver high-quality solutions.
• Champion CI/CD, DevSecOps, and modern SDLC practices.

Skills

Java expert

Spring Boot

Quarkus

Cloud-native architecture

Microservices design

AI/ML integration

Python familiarity

Mentoring teams

CI/CD

DevSecOps

API design

GCP knowledge

Docker

Kafka / Pub/Sub

Education

Bachelor’s degree in Computer Science, IT, Engineering, or related field

Tools

Spring Boot

Quarkus

Google Cloud Platform

Docker

Kafka

MongoDB

Python

Job description

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

• 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.

Physical Demands: None Required.

Licenses & Certifications: None Required.

SUPERVISORY RESPONSIBILITIES: No direct supervisory responsibility; however, this role serves as a technical leader and mentor.

BUDGET RESPONSIBILITY: No.

Company Information

• Motion Industries offers an excellent benefits package which includes options for healthcare coverage, 401(k), tuition reimbursement, vacation, sick, and holiday pay.

DISCLAIMER: This job description illustrates the general nature and level of work performed by employees within this job classification. It is not intended to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and skills required. Management retains the right to add or modify duties at any time.

GPC conducts its business without regard to sex, race, creed, color, religion, marital status, national origin, citizenship status, age, pregnancy, sexual orientation, gender identity or expression, genetic information, disability, military status, status as a veteran, or any other protected characteristic.

GPC's policy is to recruit, hire, train, promote, assign, transfer and terminate employees based on their own ability, achievement, experience and conduct and other legitimate business reasons.

Since 1928, GPC has set the standards for performance and value for our customers and our stakeholders.

Today, we’re proud to say we’re the largest global auto parts network and a leading industrial parts distributor, one that offers rewarding careers that combine small company feel with a global scale.