Intermediate Cloud / Artificial Intelligence (AI) Developer - Remote

Intermediate Cloud / Artificial Intelligence (AI) Developer designs, develops, tests, and supports Java-based, cloud-native applications on the Google Cloud Platform (Google Cloud Platform) that enable and improve business workflows. This role builds secure, scalable services with increasing independence, contributes to technical design and implementation decisions, and collaborates closely with DevOps, Quality Assurance (QA), Product Management, and security partners to deliver reliable solutions that meet performance, security, and compliance expectations., * Design, develop, and maintain Java backend services using modern engineering practices, established patterns, and reusable components.

• Build and enhance cloud-based solutions on Google Cloud Platform that support data ingestion, processing, storage, retrieval, and distribution; contribute to solution design for reliability and performance.
• Develop and maintain Representational State Transfer (REST) application programming interfaces (APIs), including versioning, documentation, backward compatibility, and integration with internal and external systems.
• Implement AI-enabled features by integrating approved AI services or models into applications; contribute to basic evaluation and monitoring approaches to ensure quality and responsible use.
• Independently troubleshoot and resolve application issues across environments, perform root-cause analysis, and implement preventative fixes to reduce repeat incidents.
• Apply secure coding practices and ensure solutions meet security and compliance requirements (for example: authentication/authorization, encryption in transit and at rest, audit logging, and policy-aligned data handling).
• Contribute to continuous integration/continuous delivery (CI/CD) pipelines and deployment automation in partnership with DevOps to improve release quality and repeatability.
• Implement and maintain observability practices including structured logging, metrics, dashboards, alerts, and operational documentation/runbooks.
• Collaborate with cross-functional partners to plan and deliver releases, support testing, and resolve production issues as needed.
• Participate in and contribute to architecture/design discussions and code reviews; help promote team standards and mentor junior developers through guidance and example.

• 3-5 years of experience developing backend applications or services in Java.
• Hands-on experience working with cloud services and deploying applications on Google Cloud Platform (or equivalent cloud experience with the ability to ramp quickly).
• Experience designing and implementing REST APIs, including common authentication/authorization approaches and integration patterns.
• Experience integrating AI capabilities into applications (for example: calling AI APIs/services for summarization, extraction, classification, or decision support) and familiarity with basic evaluation/monitoring concepts.
• Practical knowledge of secure engineering fundamentals (least privilege access, secrets management, encryption, and audit logging).
• Proficiency with Git-based workflows and working knowledge of CI/CD concepts and release practices.
• Strong troubleshooting skills, including defect triage, performance tuning, and supporting applications with observability tools.
• Strong communication and collaboration skills across engineering, QA, DevOps, product, and security stakeholders., * Experience working in Agile teams and applying Software Development Life Cycle (SDLC) practices.
• Familiarity with change/configuration management tools (for example: VersionOne, ServiceNow) and/or Application Lifecycle Management (ALM) practices.
• Experience with container and/or serverless concepts (for example: Docker, Kubernetes fundamentals, or managed/serverless deployments).
• Experience participating in production support rotations and contributing to post-incident analysis and corrective actions., * Minimum of 3-5 years of software development experience (or equivalent demonstrated capability).
• Bachelor’s degree from an accredited college/university in Computer Science, Engineering, or a related field is preferred (or equivalent practical experience).

DivIHN, the ‘‘IT Asset Performance Services’’ organization, provides Professional Consulting, Custom Projects, and Professional Resource Augmentation services to clients in the Mid-West and beyond. The strategic characteristics of the organization are Standardization, Specialization, and Collaboration.