Infrastructure Engineer

Job not on LinkedIn

🕒 June 25

🌐 United States, Canada – Remote

🇺🇸 United States – Remote 🇨🇦 Canada – Remote

🗽 New York – Remote

🗽 New York – Remote

💵 $150k - $175k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👷 Infrastructure Engineer

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Gauntlet

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2018

💼 Consulting

📦 Logistics

₿ Crypto

Consulting • Logistics • Crypto

Gauntlet is a company that specializes in economic modeling for the cryptocurrency space, primarily focusing on decentralized finance (DeFi) protocols. It provides full-service economic risk management, infrastructure advisory, and applied research to optimize economic incentives and drive sustainable growth for crypto protocols, chains, and onchain treasuries. Gauntlet leverages extensive data modeling and quantitative optimization techniques to protect over $35 billion in assets and mitigate risks associated with DeFi. The company is committed to advancing its methodologies and providing robust experience and service to the DeFi community.

📋 Description

• 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.

🎯 Requirements

• 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.