Intermediate Cloud/AI Developer
Job Title: Intermediate Cloud / AI Developer Location: Remote Summary: The Intermediate Cloud / AI Developer designs, develops, tests, and supports Java-based, cloud-native applications on Google Cloud Platform (GCP) to enable and improve business workflows. The role builds secure, scalable services, contributes to technical design and implementation decisions, and collaborates with DevOps, Quality Assurance (QA), Product Management, and security teams to deliver reliable solutions that meet performance, security, and compliance requirements. Responsibilities: Design, develop, and maintain Java-based applications for cloud environments using modern engineering practices and cloud-native patterns. Build and enhance GCP solutions supporting data ingestion, processing, storage, retrieval, and distribution, with a focus on reliability and performance. Develop and maintain REST APIs, including versioning, documentation, backward compatibility, and integrations with internal and external systems. Implement AI-enabled features by integrating approved AI services or models and contribute to evaluation and monitoring approaches. Troubleshoot application issues across environments, perform root-cause analysis, and implement preventative fixes. Apply secure coding practices, including authentication/authorization, encryption, audit logging, and policy-aligned data handling. Contribute to CI/CD pipelines and deployment automation in collaboration with DevOps. Implement and maintain observability practices, including structured logging, metrics, dashboards, alerts, and operational documentation/runbooks. Collaborate with engineering, QA, DevOps, Product Management, and security teams to plan releases, support testing, and resolve production issues. Participate in architecture/design discussions and code reviews and provide guidance to junior developers. Requirements: Bachelor's degree in a relevant field from an accredited college/university. Candidates without a relevant four-year degree must have an additional four years of relevant work experience. 3+ years of experience developing backend applications or services in Java. Hands-on experience with cloud services and deploying applications on GCP, or equivalent cloud experience with the ability to ramp up quickly. Experience designing and implementing RESTful APIs, including authentication/authorization approaches and integration patterns. Experience integrating AI capabilities into applications, such as AI services/APIs for summarization, extraction, classification, or decision support. Familiarity with basic AI evaluation and monitoring concepts. Practical knowledge of secure engineering fundamentals, including 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 application support using observability tools. Strong collaboration and communication skills across engineering, QA, DevOps, product, and security stakeholders. Ability to obtain and maintain a Public Trust and complete onsite fingerprinting at a designated facility. Preferred Qualifications: Experience working in Agile teams and applying Software Development Life Cycle (SDLC) practices. Familiarity with change/configuration management tools such as VersionOne and ServiceNow and/or Application Lifecycle Management (ALM) practices. Experience with container and/or serverless concepts, including Docker, Kubernetes fundamentals, or managed/serverless deployments. Experience participating in production support rotations and contributing to post-incident analysis and corrective actions.