DevOps Engineering Lead - ML Infrastructure

DevOps Engineering Lead - ML Infrastructure

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 simultaneously 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, define the future of AI by turning groundbreaking ideas into reality.

About the Role

As a DevOps Engineering Lead working closely with our Head of ML Engineering, you will lead the design, build, and optimization of 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 going from research prototypes into production and enterprise‑ready platforms with security, availability, and reliability in mind.

Your work will be at the intersection of research and engineering, ensuring our R&D team has the robust platform they need to push the boundaries of AI, working with our GPU vendors, cloud providers, and on‑prem servers.

📍 This is an onsite role based in our SF office (345 California St.).

Key Responsibilities

• Maintain a central GitOps repository for stable and safe releases of products and internal research tooling with disaster recovery, security, and automation in mind.
• Assist in managing multiple Kubernetes environments across cloud providers.
• Maintain and build the internal observability platform across all environments, covering everything from GPUs, AI applications, and distributed backend systems.
• Develop tools and frameworks to support the global team’s experiments, ensuring reproducibility and scalability.
• Aid in building comprehensive CI tests for GitOps repositories and promotion systems.
• Build and maintain different environments for research and client‑facing products according to best practices.

About You

What We Offer

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