Infrastructure Engineer

Distyl is an applied AI technology company partnering with the world’s most ambitious institutions to rearchitect critical operations for the frontier of AI. Our customers include the largest companies in telecom, healthcare, insurance, manufacturing, consumer goods, and global social organizations.
We research and deploy technologies that power AI-native operations — both for our partners and for Distyl itself. Our work spans research into self-constructing systems, the development of the most reliable execution of AI systems, and products that transform mission-critical workflows. As a result, Distyl's technologies affect some of the world's largest operations — from hundreds of millions of consumer interactions to tens of millions of supply chain transactions and millions of patient journeys.
Distyl is backed by leading investors including Lightspeed Venture Partners, Khosla Ventures, Coatue, DST Global, and the board-members of 20+ F500s. The results reflect this approach: a 100% production deployment success rate for our customers and one of the few enterprise AI companies to run a profitable business.

A Senior Infrastructure Engineer, you will play a pivotal role in shaping the foundation of Distyl AI’s platform development. This is a hands-on role for an engineer with both the breadth and depth to build secure, scalable, and easily deployable infrastructure. Your work will ensure our AI platform, Distillery, is reliable across diverse customer-hosted cloud and on-prem environments.

You’ll be responsible for more than just keeping systems running—you’ll architect and evolve the core infrastructure and pipelines that enables our AI-native applications to be delivered to Fortune 500 companies. The ideal candidate is an opinionated, pragmatic engineer energized by the opportunity to define how cutting-edge AI applications are deployed in production at a global scale. Strong communication skills and a demonstrated ability to take ownership are essential.

• Design & Operate Cloud-Native Infrastructure: Architect and manage resilient, scalable deployments across cloud and hybrid environments, leveraging Kubernetes, serverless frameworks, and modern microservices architectures with the infrastructure that powers them

• Evolve Infrastructure as Code: Drive the development of modular Terraform and GitOps configurations that ensure consistency, repeatability, and speed across multi-cloud environments

• Advance Automation & CI/CD: Drive our automation strategy by building and refining CI/CD pipelines that enable rapid, reliable deployments. You'll apply modern practices like GitOps and work with a variety of build and deployment tools, such as Gradle, Bazel, Flux, Helm, and GitHub Actions, to reduce operational overhead

• Embed Security & Compliance: Integrate IAM, secrets management, and secure service-to-service communication into every layer of the infrastructure

• Drive Observability & Reliability: Establish robust monitoring, logging, and alerting practices with tools like Datadog Prometheus, Grafana, and OpenTelemetry to ensure our systems are performant, secure, and enterprise-ready

• AgentOps & AI Tooling: Design and build the critical infrastructure for our advanced AI systems. This includes architecting AI toolchains, handling complex agent integrations and agent deployments

• 6+ years of professional experience in infrastructure, DevOps, or systems engineering roles, with a proven track record of delivering production-grade systems

• Deep expertise in cloud platforms (Azure, AWS, or GCP) and container orchestration with Kubernetes

• Strong experience with Infrastructure as Code tools (Terraform, Pulumi, etc.) and GitOps workflows

• Hands-on experience with CI/CD systems (Flux, ArgoCD, Helm, GitHub Actions, GitLab CI).

• Proficiency in Python and Linux for automation and tooling

• Solid knowledge of microservices architecture, distributed systems design, networking, security, IAM, and secrets management

• Familiarity with modern observability stacks (Prometheus, Grafana, OpenTelemetry, DataDog)

• Experience with serverless frameworks and event-driven architectures

• A demonstrated ownership mindset—able to take initiative, make informed decisions, and drive projects forward

• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience

• Travel: Ability to travel 10-20%

• The base salary range for this role is $150K – $250K, depending on experience, location, and level. In addition to base compensation, this role is eligible for meaningful equity, along with a comprehensive benefits package

• 100% covered medical, dental, and vision for employees and dependents

• 401(k) with additional perks (e.g., commuter benefits, in‑office lunch)

• Access to state‑of‑the‑art models, generous usage of modern AI tools, and real‑world business problems

• Ownership of high‑impact projects across top enterprises

• A mission‑driven, fast‑moving culture that prizes curiosity, pragmatism, and excellence

Distyl has offices in San Francisco and New York. This role follows a hybrid collaboration model with 3+ days per week (Tuesday–Thursday) in‑office.

We’re grateful for the strong interest in this role. The best way to get your profile in front of our team is to apply directly through our careers page, where all applications are reviewed. Due to the high volume of interest, we’re not able to review or respond to all direct emails or LinkedIn messages. We will be in touch with every applicant once we’ve completed our review, regardless of the decision.