Infrastructure Engineer - Gauntlet

About the role

At Gauntlet, the Infrastructure Engineer will play a vital role in developing and maintaining the infrastructure that supports one of the largest asset managers in onchain finance. This includes managing cloud-native platforms and ensuring smooth CI/CD workflows to enable product engineers to focus on development.

The team is composed of professionals with backgrounds in both traditional finance and crypto, working together to create sophisticated financial products. Success in this role will involve automating processes, enhancing security, and ensuring resilience in the infrastructure, ultimately contributing to the company's mission in the evolving landscape of onchain finance.

The salary range for this role is $150,000 to $175,000, with additional earnings potential based on performance and equity options.

Skills that matter here

• GCP: Experience with Google Cloud Platform is essential for managing the infrastructure.
• Kubernetes: Hands-on experience with large-scale Kubernetes systems is required for service deployments.
• Terraform: Infrastructure as Code, particularly using Terraform, is crucial for building and maintaining services.
• GitHub Actions: Familiarity with CI/CD systems, especially GitHub Actions, is important for deployment automation.
• Python: Strong programming skills in Python are especially valued for scripting and operational tasks.
• Dagster: Experience with Dagster is needed to manage async workloads effectively.

Who this role suits

• A candidate who is technically skilled and enjoys problem-solving.
• Someone who communicates clearly and can document incidents and operational procedures.
• An individual who thrives in a collaborative environment, balancing independence with teamwork.
• A person who values security and is knowledgeable about access control fundamentals.

From the employer

• Support the application teams: turn around infra requests (permissions, roles, service setup, project peering) so product engineers stay focused on shipping.
• Own CI/CD and deployments: maintain and extend our GitHub Actions workflows and help migrate toward a dedicated CD tool with proper permissioning — the goal is fully automated, locked-down deploys via service accounts, no direct engineer access to production.
• Build and maintain infrastructure as code: author and update Terraform modules for new and existing services across GCP environments.
• Run Kubernetes the right way: manage service deployments via Helm (we're on Helm 4) keep async workloads healthy on Dagster.
• Unify observability (likely first project): consolidate today's per-team alerting into a single view — system-to-system dashboards plus incident alerting that routes upstream service/vendor failures to the right impacted teams and on-call rotations.
• Advance resilience: help move us toward a fully region- and cloud-agnostic posture so services can pick up and move if something fails.
• Strengthen security & access: apply IAM, secrets management, least privilege, and auditability; contribute to SOC 2 readiness.
• Automate with AI: build agent skills / `agents.md` so routine tasks (provisioning access, simple changes) can be handled by an agent instead of human engineering hours, and use AI to reason through bigger problems.

• Strong software-engineering fundamentals in at least one production language (Python, Go, TypeScript, or Rust); Python especially valued, plus comfort scripting and working in the shell.
• Hands-on experience with cloud infrastructure and core cloud services, especially GCP (AWS/Azure transferable).
• Experience operating large-scale Kubernetes production systems.
• Experience with Infrastructure as Code, especially Terraform.
• Familiarity with CI/CD systems, especially GitHub Actions or Octopus Deploy.
• Ability to debug production issues using logs, metrics, traces, shell tools, and source code.
• Security and access-control fundamentals: IAM, secrets management, least privilege, and auditability.
• Clear written communication around incidents, design decisions, and operational procedures.

• The national pay range for this role is $150,000 - $175,000 base plus additional On Target Earnings potential by level and equity in the company.
• Our salary ranges are based on paying competitively for a company of our size and industry, and are one part of many compensation, benefits and other reward opportunities we provide.
• Individual pay rate decisions are based on a number of factors, including qualifications for the role, experience level, skill set, and balancing internal equity relative to peers at the company.