Cloud (Google) Software Engineer

Cloud (Google) Software Engineer

Sterling, VA (hybrid)

Salary From: $150,000 per year

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:

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.

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 .