Intermediate Cloud / AI Developer

Accountabilities:

• • 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.
  • Contribute to AI evaluation and monitoring practices to help ensure application quality, reliability, and responsible use.
  • Apply secure engineering principles, including least-privilege access, secrets management, encryption, audit logging, and policy-aligned data handling.
  • Troubleshoot application issues independently across development, testing, and production environments, performing root-cause analysis and implementing preventative fixes.
  • 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.
  • Collaborate with engineering, QA, DevOps, product management, and security stakeholders to plan releases, support testing, and resolve production issues.
  • Participate in architecture and technical design discussions and contribute to code reviews and engineering standards.
  • Support continuous improvement across development practices, application reliability, performance, security, and operational processes.
  • Provide guidance and mentorship to junior developers through knowledge sharing, code reviews, and technical example.
  • Participate in production support activities and contribute to post-incident analysis and corrective actions when required.

  Requirements

  • Bachelor’s degree in a relevant technical field from an accredited college or university; candidates without a relevant four-year degree may qualify with 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 cloud environments, with the ability to quickly adapt to GCP.
  • Experience designing and implementing RESTful APIs and working with common authentication, authorization, and integration patterns.
  • Experience integrating AI capabilities into applications, including calling AI APIs or services for summarization, extraction, classification, or decision-support use cases.
  • Familiarity with fundamental AI evaluation and monitoring concepts.
  • Practical understanding of secure software engineering, including least-privilege access, secrets management, encryption, and audit logging.
  • Proficiency with Git-based development workflows and working knowledge of CI/CD concepts and release practices.
  • Strong troubleshooting capabilities, including defect triage, root-cause analysis, performance tuning, and use of observability tools.
  • Experience working collaboratively with engineering, QA, DevOps, product, and security stakeholders.
  • Familiarity with Agile methodologies and Software Development Life Cycle practices is preferred.
  • Experience with Application Lifecycle Management or change and configuration management tools such as VersionOne or ServiceNow is preferred.
  • Knowledge of containers and serverless technologies, including Docker, Kubernetes fundamentals, or managed/serverless deployments, is advantageous.
  • Experience participating in production support rotations and post-incident reviews is preferred.
  • Ability to obtain and maintain a Public Trust clearance and complete required onsite fingerprinting.
  • Must meet applicable U.S. residency requirements associated with the required security investigation.
  • U.S. citizenship is not required for this position.
  • Strong analytical, communication, collaboration, and problem-solving skills.
  • Ability to work effectively in a fully remote environment and manage priorities with increasing independence.

  Benefits

  • Fully remote position available from any location within the United States.
  • Competitive salary range of $96,569–$130,651 per year, depending on experience, geographic location, and applicable contractual considerations.
  • Full-time schedule of approximately 40 hours per week.
  • Less than 10% travel expected.
  • Medical plan options, including plans with Health Savings Accounts.
  • Dental and vision insurance options.
  • 401(k) plan with company matching and pre- and post-tax contribution options.
  • Flexible work-week options where available to support work-life balance.
  • Paid vacation, sick and personal time, plus paid holidays.
  • Paid parental, military, bereavement, and jury duty leave.
  • Up to 160 hours of paid family leave over a rolling 12-month period for eligible employees.
  • Short- and long-term disability coverage and life insurance.
  • Additional insurance options, including accidental death and dismemberment, personal accident, critical illness, and business travel and accident coverage.
  • Access to career development resources, including AI-supported career planning and internal mobility opportunities.
  • Opportunities to develop expertise across cloud, AI, software engineering, and mission-oriented technology.
  • Collaborative environment with opportunities for technical growth, innovation, and mentorship.