Infrastructure Engineer

Vaga não está no LinkedIn

🕒 Junho 25

🗽 New York – Remoto

🗽 New York – Remote

💵 $150.000 - $175.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👷 Engenheiro de Infraestrutura

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Gauntlet

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2018

💼 Consultoria

📦 Logística

₿ Cripto

Consulting • Logistics • Crypto

A Gauntlet é uma empresa especializada em modelagem econômica para o espaço de criptomoedas, com foco principalmente em protocolos de finanças descentralizadas (DeFi). Ela oferece gerenciamento de risco econômico completo, consultoria de infraestrutura e pesquisa aplicada para otimizar incentivos econômicos e impulsionar o crescimento sustentável para protocolos de criptomoedas, cadeias e tesourarias onchain. A Gauntlet aproveita extensos modelos de dados e técnicas de otimização quantitativa para proteger mais de $35 bilhões em ativos e mitigar riscos associados ao DeFi. A empresa está comprometida em avançar suas metodologias e proporcionar uma experiência e serviço robustos para a comunidade DeFi.

Descrição

• 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.

🎯 Requisitos

• 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.