Cloud (Google) Software Engineer

Cloud (Google) Software EngineerSterling, VA (hybrid)Salary From: $150,000 per yearMUST:Experienced Cloud (Google) Software Engineer8+ 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 frameworksExperience with ITAR-controlled or export-regulated programsAbility 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 environmentsA humble approach: you collaborate effectively, value team success, and remain open to learningA smart perspective: you combine technical depth with strong judgment and communicationExperience with UAS, autonomous systems, or aerospace (highly preferred)Background in DoD rapid acquisition, OTAs, or SBIR programsMLOps experience and deploying ML models at the edgeExperience with air-gapped CI/CD environmentsCandidates must hold Google Cloud certifications or demonstrate a commitment to obtaining any missing certifications within an agreed timeframe following hireBachelor s degree in Computer Science, Engineering, or related fieldDUTIES: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 automationBuild and maintain CI/CD pipelines, including for resource-constrained or air-gapped environmentsDevelop and integrate AI/ML pipelines (e.g., Vertex AI, MLflow) and data versioning systemsWrite clean, maintainable, well-documented code and contribute to code reviews and engineering best practicesDevelop software aligned with DoD security requirements (RMF, STIG, SSDLC practices)Support ATO processes and implement required security controlsEnsure compliance with ITAR and export control regulationsParticipate in security reviews, vulnerability assessments, and testingOperate effectively in classified or restricted environments as neededDevelop and execute unit, integration, and system-level testsSupport HIL/SIL testing and troubleshoot complex system issues across lab and field environmentsPartner with AI, hardware, autonomy, and systems teams to define and deliver solutionsContribute to architecture decisions and technical roadmap planningMentor junior engineers and promote engineering excellenceEngage with government stakeholders to translate mission needs into technical solutionsSupport proposal efforts and technical solution designQuadrant 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 .