--- title: 'Senior DevOps Engineer at SandboxAQ' canonical: 'https://feeny.ai/job/senior-devops-engineer-sandboxaq-united-states-7za5qm87vh0y' type: 'job' last_seen: '2026-11-04' --- # Senior DevOps Engineer at SandboxAQ - **Company:** SandboxAQ - **Location:** United States - **Employment:** full-time - **Work type:** remote - **Posted:** 2026-10-22 - **Last confirmed live:** 2026-11-04 - **Apply:** https://jobs.ashbyhq.com/sandboxaq/0e9eecfb-da2f-46f4-b7cc-da371428a7f4 ## Job description ## About SandboxAQ SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. The company’s Large Quantitative Models (LQMs) power advances in life sciences, financial services, navigation, cybersecurity, and other sectors. We are a global team that is tech-focused and includes experts in AI, chemistry, cybersecurity, physics, mathematics, medicine, engineering, and other specialties. The company emerged from Alphabet Inc. as an independent, growth capital-backed company in 2022, funded by leading investors and supported by a braintrust of industry leaders. At SandboxAQ, we’ve cultivated an environment that encourages creativity, collaboration, and impact. By investing deeply in our people, we’re building a thriving, global workforce poised to tackle the world's epic challenges. Join us to advance your career in pursuit of an inspiring mission, in a community of like-minded people who value entrepreneurialism, ownership, and transformative impact. The Opportunity - Introduction to the team: The AI Simulation team drives high-impact innovations by developing cutting-edge simulation models and algorithms. By joining this group, you will be joining a highly collaborative, cross-functional team dedicated to scaling our technical capabilities and transforming complex computational research into robust, production-ready solutions. - Introduction to the role: The AI Simulation team is looking for a Senior DevOps Engineer to join our team. This role is central to our efforts to build, optimize, and secure the cloud infrastructure and operational engines that power our AI and physics-based simulation applications. By bridging cloud operations and developer needs, you will enable our scientists and engineers to build and deploy critical systems seamlessly. This person will architect and manage multi-cloud (GCP, AWS, Azure) Kubernetes infrastructure and Terraform pipelines in addition to providing direct, hands-on developer support, acting as a trusted advisor to optimize engineering workflows and troubleshoot complex infrastructure challenges. This person will work at the forefront of AI and quantitative tech, directly empowering scientific innovation through high-performance engineering infrastructure. We are seeking a candidate in the PST or MST time zone for this position. ## Key Responsibilities - Provision, maintain, and scale multi-cloud environments (GCP, AWS, Azure) using Infrastructure as Code (IaC) principles with Terraform. - Deploy and optimize production-grade Kubernetes clusters (GKE, EKS, AKS), configuring networking, ingress, service meshes, storage, and auto-scaling policies. - Serve as a trusted advisor to developers, troubleshooting complex container/cluster issues, resolving pod scheduling bottlenecks, and streamlining developer workflows. - Partner closely with DevOps, IT, and InfoSec teams to integrate security best practices, safeguard regulated data, and enhance overall system availability and compliance. - Implement end-to-end monitoring and logging (Prometheus, Grafana, Cloud Monitoring), manage release pipelines via CircleCI/GitHub, and participate in on-call rotations to maintain high availability. Essential Skills & Experience - Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience). - 3+ years of experience as a DevOps Engineer with deep expertise in cloud infrastructure across GCP (GKE, Compute Engine, VPC, IAM) and AWS (EKS/ECS, EC2, S3, RDS). - Expert proficiency in Terraform for automated provisioning, paired with strong scripting skills in Python or Bash. - Deep hands-on experience managing Kubernetes clusters, networking/storage, Git/GitHub workflows, and CircleCI automation pipelines. - Hands-on experience with observability tools (Prometheus, Grafana, Cloud Logging) and a track record of supporting cross-functional development teams. Highly Desired Skills & Experience - Broad experience managing multi-cloud operations across GCP, AWS, and Microsoft Azure simultaneously. - Proven ability to manage regulated datasets and enforce enterprise-grade security and compliance standards. - Deep knowledge of container runtimes and Docker ecosystem optimizations. - Experience with high capacity AI infrastructure. Why Join Us? We offer a comprehensive and competitive benefits package designed to support your health, financial well-being, and life outside of work. - Career Defining Work: Your work will directly accelerate the discovery of better drugs and better materials, advance human health, and enable safer and more sustainable technologies by helping customers put AI Simulation capabilities into real world use. - Compensation: Competitive base salary, performance-based incentives or bonuses (where applicable), and equity participation. - Benefits: Comprehensive medical, dental, and vision coverage for employees and dependents with generous employer premium contributions, retirement savings with company matching, paid parental leave, and inclusive family-building benefits. - Work-Life Balance: Fully remote, Flexible paid time off, company-wide seasonal breaks, and support for flexible work arrangements that enable sustainable performance. - Learning and Growth: Opportunities for continuous learning and growth through on-the-job development, cross-functional collaboration, and access to internal learning and development programs. SandboxAQ Welcomes All We are committed to fostering a culture of belonging and respect, where diverse perspectives are actively sought and valued. Our multidisciplinary environment provides ample opportunity for continuous growth - working alongside humble, empowered, and ambitious colleagues ready to tackle epic challenges. Equal Employment Opportunity: All qualified applicants will receive consideration regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. Accommodations: We provide reasonable accommodations for individuals with disabilities in job application procedures for open roles. If you need such an accommodation, please let a member of our Recruiting team know. Read: [Guidance for candidates on using AI Tools in interviews](https://www.sandboxaq.com/ai-in-interviews) ## About SandboxAQ ## Company Overview - **One-liner**: SandboxAQ develops Large Quantitative Models (LQMs) that combine AI and quantum techniques to solve real-world challenges in drug discovery, materials, navigation, cybersecurity, and other high-impact sectors. - **Entity Type**: Private (Late Stage; raised $1.6B total, including Series E, venture rounds, and grants) - **Headquarters**: Palo Alto, California, United States - **Founded**: 2021 (spun out from Alphabet in 2022) - **Founders**: Jack Hidary (CEO); Eric Schmidt serves as Chairman of the Board of Directors ## Core Business - **Primary Industries**: AI/Quantum software, life sciences (drug discovery), cybersecurity, financial services, navigation/defense, materials science - **Target Customers**: B2B, serving large enterprises and government organizations in pharma, energy, defense, finance, and logistics - **Mission**: Revolutionize industries with groundbreaking solutions at the intersection of AI and quantum technology ## Products & Services - **AQBioSim**: AI simulation platform for accelerating molecular design and reducing failure rates in drug discovery (SaaS) - **LQMs for Cybersecurity**: Cryptography management and quantum-safe security solutions (e.g., post-quantum cryptography, key management) - **AI Navigation & Sensing**: Precise positioning and navigation systems resistant to jamming/spoofing, leveraging AI and quantum sensors (SaaS + hardware integration) - **Materials & Chemistry Modeling**: LQMs that predict atomic-level properties to unlock new compounds for chemicals and materials (SaaS) - **Financial Services LQMs**: Models for risk analysis, portfolio optimization, and fraud detection (SaaS) ## Market Standing - **Valuation**: Not publicly disclosed; total funding reached $1.6 billion - **Key Metric**: Total Funding: $1.6B (13 rounds); Annual Revenue (estimated): $9M (via disclosed financial data) - **Notable Investors/Partners**: T. Rowe Price, Eric Schmidt, Breyer Capital, Guggenheim Partners, Marc Benioff, Thomas Tull, Paladin Capital Group, Nvidia (backed via grant/award) - **Growth Signals**: - Headcount: ~296 employees (+10.6% YoY) - Operating in 16 countries (US, Canada, UK, France, Spain, Switzerland, etc.) - Acquired Good Chemistry (Jan 2024) and Cryptosense (Sep 2022) to expand capabilities - Recent funding: $95M venture round (July 2025), additional private equity round (Feb 2026) - US government awarded $500M (Nvidia-backed) for finding new outcomes (likely defense/pharma contract) - Recognized with multiple industry awards (Fierce Innovator in Life Sciences 2025, Wash100 Award, etc.) ## Competitive Advantages - **Quantitative AI (LQMs)**: Models that understand the physical world (molecules, materials, navigation) – distinct from purely data-driven LLMs - **Alphabet Spinout Heritage**: Foundational technology and talent from Google’s parent company - **Multidisciplinary Team**: Physicists, chemists, cryptographers, AI researchers – rare combination - **Strong Government & Enterprise Ties**: Direct contracts with US defense and pharma, plus deep investor network - **Integrated Portfolio**: One platform covering simulation, cybersecurity, and sensing – creating cross-selling opportunities ## Strategic Focus - **Scale LQM Applications**: Expand from drug discovery into climate, energy, and defense - **Deepen Government Partnerships**: Capitalize on $500M US award and develop mission-critical navigation/security systems - **Build Ecosystem**: Open APIs and partnerships with cloud providers (AWS, Azure, Databricks) to embed LQMs into existing workflows - **Talent Acquisition**: Aggressively hiring ML engineers, computational chemists, and research scientists to maintain technical lead ## Why Work Here - **Culture**: Emphasizes inclusion, service leadership, and fearlessness. Described as “the most humble player in the AQ industry” with a growth mindset. - **Remote/Hybrid Policy**: Flexible work environment; home office stipend and connectivity stipend provided; regular offsites for collaboration. - **Benefits**: Best-in-class medical, dental, vision; 100% paid maternity/paternity leave; 401k with company match; wellness stipend; learning & development programs; flexible time off including winter break and volunteering days. - **Engineering Culture**: Hands-on work at the frontier of AI and quantum; cross-disciplinary teams (physics, chemistry, neuroscience, cryptography); opportunity to publish research and attend conferences. - **Growth Opportunities**: Residency program for early-career scientists; stock options; clear career progression in a fast-growing late-stage startup. ## Sources 1. [sandboxaq.com](https://www.sandboxaq.com/) 2. [sandboxaq.com/company/about-us](https://www.sandboxaq.com/company/about-us) 3. [sandboxaq.com/careers](https://www.sandboxaq.com/careers) 4. [linkedin.com/company/sandboxaq](https://www.linkedin.com/company/sandboxaq) 5. 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