Founding DevOps Engineer San Francisco, US

About Us Symbolica is an AI research lab pioneering the application of category theory to enable logical reasoning in machines. We’re a well-resourced, nimble team of experts on a mission to bridge the gap between theoretical mathematics and cutting-edge technologies, creating symbolic reasoning models that think like humans – precise, logical, and interpretable. While others focus on scaling data-hungry neural networks, we’re building AI that understands the structures of thought , not just patterns in data. Our approach combines rigorous research with fast-paced, results-driven execution. We’re reimagining the very foundations of intelligence while developing product-focused machine learning models in a tight feedback loop, where research fuels application. Founded in 2022, we’ve raised over $30M from leading Silicon Valley investors, including Khosla Ventures, General Catalyst, Abstract Ventures, and Day One Ventures, to push the boundaries of applying formal mathematics and logic to machine learning. Our vision is to create AI systems that transform industries, empowering machines to solve humanity’s most complex challenges with precision and insight. Join us to redefine the future of AI by turning groundbreaking ideas into reality. About the Role As a Founding DevOps Engineer , working closely with our ML Infrastructure Lead, you will design, build, and optimize the infrastructure and tools that enable us to take our research and development efforts from the lab into a highly reliable, performant, and secure software stack in production. You'll help accelerate the processes involved in transitioning research prototypes into production and enterprise-ready platforms with security, availability, and reliability in mind. This is an onsite role that can be based in either our SF or London offices. Key Responsibilities Maintaining a central GitOps repository for stable and safe releases of products and internal research tooling with disaster recovery, security, and automation in mind. Managing multiple Kubernetes environments across cloud providers. Maintaining and building the internal observability platform across all environments, covering GPUs, AI applications, and distributed backend systems. Building comprehensive CI tests for GitOps repositories and promotion systems. Building and maintaining different environments for research and client-facing products according to best practices. About You 5 years of experience in DevOps or infrastructure roles, preferably with experience in ML infrastructure using DevOps practices. Proficient in cloud-native architectures, capable of making appropriate tradeoffs. Experienced with Linux, containers, Kubernetes, and committed to maintaining secure infrastructure. Exceptional problem-solving skills with the ability to handle edge cases with minimal disruption. What We Offer Competitive salary and early-stage equity package. A high-trust, execution-first culture with minimal bureaucracy. Ownership of meaningful projects with real business impact. A unique opportunity to work at the intersection of deep research and real-world productization. Candidates must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support. Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation. J-18808-Ljbffr