Intermediate Cloud / AI Developer
New
J
JobgetherCloud / AI
Based in the United StatesFull-TimeMiddle
Salary96,569 - 130,651 USD per year
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Job Details
- Experience
- 3+ years
- Required Skills
- DockerArtificial IntelligenceGCPGitJavaKubernetesCI/CDRESTful APIs
Requirements
- Bachelor’s degree in a relevant technical field or an additional four years of relevant experience.
- 3+ years of professional experience developing backend applications or services using Java.
- Hands-on experience with cloud services and deploying applications on Google Cloud Platform or comparable environments.
- Experience designing and implementing RESTful APIs with authentication, authorization, and integration patterns.
- Experience integrating AI capabilities into applications, including calling AI APIs or services.
- Familiarity with fundamental AI evaluation and monitoring concepts.
- Practical understanding of secure software engineering (least-privilege, secrets management, encryption, audit logging).
- Proficiency with Git-based development workflows and CI/CD concepts.
- Strong troubleshooting capabilities including defect triage, root-cause analysis, and observability tool usage.
- Ability to obtain and maintain a Public Trust clearance and complete required onsite fingerprinting.
Responsibilities
- Design, develop, test, maintain, and support Java-based applications using modern software engineering and cloud-native practices.
- Build and enhance cloud solutions on Google Cloud Platform supporting data ingestion, processing, storage, retrieval, and distribution.
- Develop and maintain RESTful APIs, including versioning, documentation, backward compatibility, authentication, authorization, and integration with internal and external systems.
- Integrate approved AI services and models into applications for use cases such as summarization, extraction, classification, and decision support.
- Apply secure engineering principles, including least-privilege access, secrets management, encryption, audit logging, and policy-aligned data handling.
- Contribute to CI/CD pipelines, deployment automation, release processes, and software delivery improvements in partnership with DevOps teams.
- Implement and maintain observability capabilities, including structured logging, metrics, dashboards, alerts, and operational documentation.
- Participate in architecture and technical design discussions and contribute to code reviews and engineering standards.
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