Senior DevOps Engineer: Kubernetes & Cloud Infra

AngelList, LLC; United States; Hybrid; USD 180,000 - 220,000; Full time

Job summary

AngelList is seeking a Senior Software Engineer (DevOps) to architect and scale infrastructure that supports billions in venture assets. You will deploy scalable Kubernetes environments, implement modern CI/CD pipelines, and design secure, observable systems using Terraform, Pulumi, and ArgoCD.

The role is based in our US hubs (SF/NY) with hybrid schedule and equity alongside base pay. You will collaborate across teams to reduce toil, improve tooling, and accelerate delivery while maintaining

Qualifications

• Proficiency in multiple programming languages, with Ruby and Rust highly valued.
• Production Kubernetes experience is required.
• Track record of implementing or overhauling modern CI/CD systems.
• Strong IaC and cloud-native automation with Terraform, Pulumi, ArgoCD.

Responsibilities

• Architect and operate scalable Kubernetes environments that serve as the backbone of our deployment infrastructure.
• Implement modern CI/CD pipelines and automation enabling rapid iteration across engineering teams.
• Design secure, observable systems using Terraform, Pulumi, ArgoCD, and SRE practices.
• Influence infrastructure direction through hands-on contribution and roadmap planning.
• Elevate developer experience by improving tooling and workflows across the stack.
• Contribute to a high-leverage team that enables engineers to move faster with confidence.

Skills

Ruby

Rust

Kubernetes

CI/CD

Infrastructure as Code

Tools

Terraform

Pulumi

ArgoCD

AWS

GCP

Job description

AngelList is seeking a Senior Software Engineer (DevOps) to architect and scale infrastructure that supports billions in venture assets. You will deploy scalable Kubernetes environments, implement modern CI/CD pipelines, and design secure, observable systems using Terraform, Pulumi, and ArgoCD.

The role is based in our US hubs (SF/NY) with hybrid schedule and equity alongside base pay. You will collaborate across teams to reduce toil, improve tooling, and accelerate delivery while maintaining