Cloud – AI Developer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and maintain cloud-native applications based on Java on the Google Cloud Platform (GCP).

• Implement workflows for image capture, ingestion, processing, storage, retrieval, and distribution.

• Create and manage documented, versioned RESTful APIs while ensuring backward compatibility.

• Construct image-processing pipelines for validation, transformation, metadata extraction, indexing, retention, archival, and deletion.

• Implement AI-driven image functionalities such as classification, OCR/data extraction, redaction, quality checks, and similarity search.

• Diagnose defects in cloud applications, conduct root cause analysis, and apply preventative measures.

• Utilize secure coding practices, IAM/authorization, encryption, auditing, and data handling aligned with policies.

• Develop CI/CD pipelines and infrastructure as code utilizing DevOps methodologies.

• Enforce logging, metrics, tracing, alerting, and operational runbooks.

• Work collaboratively with DevOps, QA, Product Management, and security teams.

• Engage in architecture reviews, design reviews, code reviews, technical documentation, and shared standards.

⛳️ Requirements

• Bachelor’s degree in a relevant discipline from an accredited college or university.

• Alternatively, four additional years of relevant work experience may substitute for a four-year degree.

• Over 8 years of professional experience in developing backend services and APIs using Java.

• Proficiency with Spring/Spring Boot or comparable frameworks.

• Practical experience in designing, deploying, and managing applications on Google Cloud Platform.

• Familiarity with serverless and/or containerized solutions.

• Experience in designing and implementing RESTful APIs, including authentication/authorization and service integrations.

• Knowledge of image-centric workflows, object storage, transformation, and metadata management.

• Experience integrating AI functionalities such as computer vision/OCR, extraction, redaction, or search.

• Understanding of AI evaluation and monitoring concepts.

• Knowledge of IAM, least privilege practices, service accounts, secrets management, encryption, and audit logging.

• Familiarity with CI/CD, infrastructure as code tools like Terraform, and Git-based workflows.

• Skills in cloud troubleshooting, defect triage, performance tuning, production support, and observability tools.

• Strong collaboration and communication skills across engineering, QA, DevOps, product, and security teams.

• Must obtain and maintain a Public Trust clearance.

• Required to provide onsite fingerprinting at a designated facility.

• U.S. residency is necessary: candidates must have lived in the U.S. (including U.S. Territories) for the required prior periods.

• U.S. Citizenship is not mandatory.

🏝️ Benefits

• AI-driven career tool that identifies career pathways and learning opportunities.

• Internal mobility team dedicated to supporting career aspirations.

• Comprehensive benefits and wellness programs.

• 401(k) plan with company match.

• Competitive salary.

• Paid time off.

• Medical plan options, including some with Health Savings Accounts.

• Dental plan options.

• Vision plan options.

• Opportunity to contribute pre-tax and post-tax dollars to 401(k) up to IRS annual limits.

• Flexibility for full work weeks where feasible.

• Leave for vacation, sick days, personal time, holidays, paid parental leave, military leave, bereavement, and jury duty.

• Typically, 15 days of paid leave per calendar year.

• 10 paid holidays each year.

• Paid Family Leave of up to 160 hours within a rolling 12-month period for eligible employees.

• Short- and long-term disability benefits.

• Life insurance.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.

• Remote work options available.