Senior Infrastructure Engineer

Adaption LabsSan Francisco, CA, United States

2 hours ago

Job type

Full-time

Job description

Build the future of adaptable intelligence

Location

Employment Type

Full time

Location Type

Hybrid

Department

Platform

Deadline to Apply

November 30, 2025 at 8 : 00 AM GMT

About Us

We believe the future is adaptable, and not one-size-fits-all. We will lead in real-time efficient adaptation that combines algorithm with innovative interface design. Our global team—based in SF and beyond—brings together top talent in AI innovation. Backed by world-class investors, we're building Adaptable Intelligence.

The Role

You’ll be one of our first engineering hires, working closely with the founding engineering team to set up the core infrastructure systems that will power our product, including CI / CD pipelines, container orchestration, observability, and cloud infrastructure. You thrive in zero-to-one environments and enjoy owning the full lifecycle of infrastructure design and implementation. You’re comfortable wearing multiple hats, making pragmatic technical decisions, and laying down scalable, secure foundations for future growth.

Responsibilities

Design, build, and own the cloud infrastructure from scratch (0→1), with a focus on scalability, reliability, and security
Define and implement Infrastructure as Code (IaC) using Terraform (or similar tools)
Set up and manage Kubernetes clusters for service orchestration and deployment
Design, deploy, and manage GPU clusters for AI / ML training and inference workloads
Build CI / CD pipelines to automate deployment and testing
Implement observability best practices (monitoring, logging, alerting)
Collaborate closely with backend and product engineers to define deployment and scaling strategies
Ensure infrastructure cost-efficiency and help set up cost monitoring tools
Define internal best practices for DevOps and platform engineering

Qualifications

5+ years of experience as an Infrastructure / SRE / Platform / DevOps engineer

Experience designing and building cloud-native infrastructure from scratch (preferably in AWS, GCP, or Azure)

Proficient with Kubernetes (EKS, GKE, or self-managed clusters)

Experience setting up and managing GPU resources and clusters for machine learning workloads

Strong hands‑on experience with Terraform and Infrastructure as Code best practices

Experience building CI / CD pipelines using tools like GitHub Actions, ArgoCD, CircleCI, or similar

Familiar with monitoring and logging stacks (e.g., Prometheus, Grafana, Datadog, ELK, etc.)

Security‑minded and familiar with cloud and container security best practices

Ability to balance ideal solutions with startup pragmatism and speed

Nice to have

Experience in a fast‑paced startup environment

Knowledge of service mesh technologies (e.g., Istio, Linkerd)

Experience with serverless infrastructure or hybrid architectures

Contributions to open‑source infrastructure tools

What We Offer

Competitive salary + meaningful equity

Learning and development budget to support your growth as you adapt

Comprehensive medical benefits and generous PTO

Annual travel stipend to explore somewhere new—because building global technology means staying adaptable to new places and perspectives

Mission‑driven team shaping the future of intelligence, where you’ll enjoy high ownership and the opportunity to make a career‑defining impact

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Senior Infrastructure Engineer • San Francisco, CA, United States