Summary
✨ AI‑Generated
A senior remote engineering role building secure, scalable Java applications in a cloud-native environment. You will develop RESTful APIs, implement image capture and processing workflows, maintain cloud services, and introduce AI-enabled capabilities while working closely with engineering, quality, product, and security teams.
Highlights
Fully remote senior engineering role focused on secure, scalable cloud-native applications, REST APIs, image-processing workflows, and AI-enabled capabilities while collaborating across engineering and product functions.
Description
Job Title: Senior Cloud / AI Developer
Location: Remote
Summary: The Senior Cloud / AI Developer designs, develops, and maintains Java-based, cloud-native applications on Google Cloud Platform (GCP) that support image-based business workflows.
The role builds secure, scalable services for capturing, processing, storing, and distributing images for internal use and external partners while collaborating with DevOps, QA, Product Management, and security stakeholders.
Responsibilities
Design, develop, and maintain Java-based applications for cloud environments using modern engineering practices and cloud-native patterns.Implement cloud-native solutions on GCP to support image capture, ingestion, processing, storage, retrieval, and distribution workflows.Create and maintain RESTful APIs for integration with internal services and external partners, including versioning, documentation, and backward compatibility considerations.Implement AI-enabled capabilities for use cases.Identify, troubleshoot, and resolve technical issues and defects in cloud applications, including root-cause analysis and preventative fixes.Ensure applications meet security standards and applicable compliance requirements through secure coding practices, IAM/authorization controls, encryption, auditing, and policy-aligned data handling.Develop and maintain CI/CD pipelines and infrastructure-as-code for repeatable deployments and environment consistency in partnership with DevOps.Implement observability practices, including logging, metrics, tracing, alerting, and operational documentation/runbooks.Collaborate with DevOps, QA, and Product Management to plan, deliver, test, and support high-quality software solutions.Participate in architecture/design reviews, code reviews, and technical documentation and contribute to shared standards and best practices.
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.8+ years of experience in technology or software development preferred.Strong professional experience developing backend services and APIs in Java.Hands-on experience designing, deploying, and operating applications on GCP using serverless and/or container-based approaches.Experience designing and implementing RESTful APIs, including authentication/authorization patterns and integration with other services.Experience integrating AI capabilities into applications and familiarity with basic evaluation/monitoring concepts.Knowledge of secure engineering practices, including least privilege, service accounts, secrets management, encryption in transit/at rest, and audit logging.Familiarity with CI/CD, infrastructure-as-code, and Git-based development workflows.Strong troubleshooting skills for cloud applications, including defect triage, performance tuning, and production support with observability tools.Strong collaboration and communication skills across engineering, QA, DevOps, product, and security stakeholders.Ability to obtain and maintain a Public Trust and provide onsite fingerprinting at a designated facility.
Preferred Qualifications
Exposure to Agile methodologies and Software Development Life Cycle (SDLC) practices.Familiarity with change/configuration management tools such as VersionOne and ServiceNow and/or Application Lifecycle Management (ALM) practices.Hands-on exposure to container or serverless concepts, such as Docker, Kubernetes fundamentals, or managed/serverless deployments.
