Cloud (Google) Software Engineer

About

Cloud Software Engineer to help build the scalable, secure cloud backbone powering our AI-enabled drone platforms.

This role sits at the intersection of cloud infrastructure, data engineering, and applied AI supporting everything from edge-deployed flight systems to enterprise applications and internal tooling.

MUST:

• Experienced Cloud (Google) Software Engineer
• 8+ years of cloud software engineering experience (4+ supporting defense, intelligence, or government programs)
• Proficiency in Python, Java, C++, Go, or Rust (multi-language experience preferred)
• Experience deploying full-stack and data solutions in cloud environments (GCP strongly preferred)
• Expertise in containerization and orchestration (Docker, Kubernetes, K3s, etc.)
• Strong understanding of secure software development and DoD cybersecurity frameworks
• Experience with ITAR-controlled or export-regulated programs
• Ability to obtain and maintain a U.S. security clearance (active preferred)
• A hungry mindset: you take ownership, push for better solutions, and thrive in fast-moving environments
• A humble approach: you collaborate effectively, value team success, and remain open to learning
• A smart perspective: you combine technical depth with strong judgment and communication
• Experience with UAS, autonomous systems, or aerospace (highly preferred)
• Background in DoD rapid acquisition, OTAs, or SBIR programs
• MLOps experience and deploying ML models at the edge
• Experience with air-gapped CI/CD environments
• Candidates must hold Google Cloud certifications or demonstrate a commitment to obtaining any missing certifications within an agreed timeframe following hire
• Bachelor s degree in Computer Science, Engineering, or related field

DUTIES:

• Design and implement cloud data infrastructure (BigQuery, GCS, or equivalent), including schema design, governance, and pipeline automation
• Build and maintain CI/CD pipelines, including for resource-constrained or air-gapped environments
• Develop and integrate AI/ML pipelines (e.g., Vertex AI, MLflow) and data versioning systems
• Write clean, maintainable, well-documented code and contribute to code reviews and engineering best practices
• Develop software aligned with DoD security requirements (RMF, STIG, SSDLC practices)
• Support ATO processes and implement required security controls
• Ensure compliance with ITAR and export control regulations
• Participate in security reviews, vulnerability assessments, and testing
• Operate effectively in classified or restricted environments as needed
• Develop and execute unit, integration, and system-level tests
• Support HIL/SIL testing and troubleshoot complex system issues across lab and field environments
• Partner with AI, hardware, autonomy, and systems teams to define and deliver solutions
• Contribute to architecture decisions and technical roadmap planning
• Mentor junior engineers and promote engineering excellence
• Engage with government stakeholders to translate mission needs into technical solutions
• Support proposal efforts and technical solution design

Quadrant is an affirmative action/equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, status as a protected veteran, or status as an individual with a disability. Healthcare benefits are offered to all eligible employees according to compliance mandated by the Affordable Care Act .