Intermediate Cloud / AI Developer

This role will require you to obtain and maintain a Public Trust (MBI/T2) clearance. The investigation may review personal and criminal behavior, financial conduct, foreign influence, and other adjudicative factors. U.S. residency requirements apply: candidates must have resided in the U.S. (including territories) for the last five years, with no absences longer than 6 months (U.S. citizens) or 90 days (non-U.S. citizens) consecutively in the last three years.

About the role

The Intermediate Cloud / AI Developer designs, develops, tests, and supports Java-based, cloud-native applications on the Google Cloud Platform (GCP) that enable and improve business workflows. This role builds secure, scalable services with increasing independence, contributes to technical design and implementation decisions, and collaborates closely with DevOps, Quality Assurance (QA), Product Management, and security partners to deliver reliable solutions that meet performance, security, and compliance expectations.

Responsibilities

• Design, develop, and maintain Java-based applications for cloud environments, using modern engineering practices and cloud-native patterns.
• Build and enhance cloud-based solutions on GCP that support data ingestion, processing, storage, retrieval, and distribution; contribute to solution design for reliability and performance.
• Develop and maintain Representational State Transfer (REST) application programming interfaces (APIs), including versioning, documentation, backward compatibility, and integration with internal and external systems.
• Implement AI-enabled features by integrating approved AI services or models into applications; contribute to basic evaluation and monitoring approaches to ensure quality and responsible use.
• Independently troubleshoot and resolve application issues across environments, perform root-cause analysis, and implement preventative fixes to reduce repeat incidents.
• Apply secure coding practices and ensure solutions meet security and compliance requirements (e.g., authentication/authorization, encryption in transit and at rest, audit logging, and policy-aligned data handling).
• Contribute to continuous integration/continuous delivery (CI/CD) pipelines and deployment automation in partnership with DevOps to improve release quality and repeatability.
• Implement and maintain observability practices including structured logging, metrics, dashboards, alerts, and operational documentation/runbooks.
• Collaborate with cross-functional partners to plan and deliver releases, support testing, and resolve production issues as needed.
• Participate in and contribute to architecture/design discussions and code reviews; help promote team standards and mentor junior developers through guidance and example.

Requirements

• Bachelor’s degree in a relevant field from an accredited college/university, or an additional four years of relevant work experience in lieu of a degree.
• 3+ years’ experience developing backend applications or services in Java.
• Hands-on experience working with cloud services and deploying applications on GCP (or equivalent cloud experience with the ability to ramp quickly).
• Experience designing and implementing RESTful APIs, including common authentication/authorization approaches and integration patterns.
• Experience integrating AI capabilities into applications (e.g., calling AI APIs/services for summarization, extraction, classification, or decision support) and familiarity with basic evaluation/monitoring concepts.
• Practical knowledge of secure engineering fundamentals (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 supporting applications with observability tools.
• Strong collaboration and communication skills across engineering, QA, DevOps, product, and security stakeholders.

Preferred Qualifications

• Experience working in Agile teams and applying Software Development Life Cycle (SDLC) practices.
• Familiarity with change/configuration management tools (e.g., VersionOne, ServiceNow) and/or Application Lifecycle Management (ALM) practices.
• Experience with container and/or serverless concepts (e.g., Docker, Kubernetes fundamentals, or managed/serverless deployments).
• Experience participating in production support rotations and contributing to post-incident analysis and corrective actions.

Benefits

• Comprehensive medical, dental, and vision plan options, some with Health Savings Accounts.
• 401(k) plan with company match (pre- and post-tax contributions up to IRS annual limits).
• Paid time off: 15 days vacation/sick/personal time + 10 paid holidays per year (prorated based on hire date).
• Paid Family Leave: up to 160 hours in a rolling 12-month period.
• Additional leave: parental, military, bereavement, and jury duty.
• Income protection: short- and long-term disability, life, accidental death and dismemberment, personal accident, critical illness, and business travel/accident insurance.
• Flexible work arrangements and support for work/life balance.
• AI-powered career tool for identifying growth opportunities and learning paths.
• Internal mobility team focused on career development.

Pay

The likely salary range for this position is $96,569 – $130,651. Salary will be set based on experience, geographic location, and possibly contractual requirements.

Schedule

• Scheduled weekly hours: 40
• Travel required: less than 10%
• Telecommuting options: fully remote (any U.S. location)