Intermediate Cloud/AI Developer

Summary

Red Cedar Consultancy, LLC is seeking an Intermediate Cloud/AI Developer to design, develop, test, and support Java-based cloud-native applications on Google Cloud Platform. The role focuses on building secure and scalable services, integrating AI capabilities, developing REST APIs, supporting CI/CD and observability, and collaborating with cross-functional teams to deliver reliable solutions.

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

Skills

• 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
• 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

Qualifications

Must Haves

• 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

Nice to Haves

• 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

Benefits

• Remote work arrangement