Software Engineer, Reliability

Vaga não está no LinkedIn

🕒 Julho 7

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $120.000 - $190.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)

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Nametag

SiteLinkedInTodas as Vagas

11 - 50 funcionários

Fundada em 2020

🏥 Saúde

🛡️ Seguros

📦 Logística

💰 Series unknown em 2021-02

Healthcare • Insurance • Logistics

A Nametag é uma empresa de verificação de identidade voltada para a força de trabalho, oferecendo uma plataforma SaaS que previne a personificação por deepfakes e protege processos de recuperação de contas, integração e suporte técnico. Seu mecanismo Deepfake Defense™ combina criptografia, biometria e técnicas resistentes à IA para verificar humanos em diversos canais, integrando-se a sistemas empresariais de IAM e ITSM, além de permitir MFA de autoatendimento e redefinição de senhas para reduzir violações e custos de suporte de TI.

Descrição

• Design, build, and maintain scalable, cost-effective cloud infrastructure across AWS and Fly.io. • Own deployment strategy and service design across our monolith and microservices, including schema migrations and rollout safety. • Manage infrastructure-as-code (CloudFormation, Terraform or equivalent) for reproducible, auditable infrastructure. • Identify reliability risks, performance bottlenecks, and security gaps, and address them proactively. • Evolve our observability stack: logging, distributed tracing, metrics, and uptime monitoring. • Evolve on-call practices and incident response processes that keep us ahead of customer-impacting issues. • Champion a culture of reliability: postmortems, runbooks, and continuous improvement after incidents. • Manage and improve our CI/CD pipelines (GitHub Actions) and establish deployment best practices. • Build internal platform tooling and abstractions that reduce toil and increase engineering velocity. • Partner with product engineers to make infrastructure easy to use correctly and hard to use incorrectly. • Design and operate data pipelines that support our ML-powered verification systems. • Evolve our MLOps infrastructure so models can be trained, evaluated, and deployed safely and repeatedly. • Work closely with engineering and product leadership on technical roadmap decisions. • Review code, mentor peers, and help raise the bar on security, reliability, and operational discipline. • Communicate infrastructure tradeoffs clearly across technical and non-technical stakeholders.

🎯 Requisitos

• Applicants must be legally authorized to work in the United States for any employer without current or future need for visa sponsorship. • Hands-on experience managing and securing cloud infrastructure. AWS required; Fly.io or similar a plus. • Production experience with Terraform or equivalent tools. • Deep experience with PostgreSQL, including schema design, migrations, and query performance tuning. • Strong experience designing and managing CI/CD pipelines, GitHub Actions preferred. • Proficiency in modern, type-safe languages. Go strongly preferred. • Experience building and operating logging, tracing, and metrics systems in production. • Prior experience shipping ML infrastructure into production, not just experimentation. • You've worked at an early-stage company and know what it means to move fast without compromising the things that matter. • Security-minded by default. You design with the threat model in mind, not as an afterthought.

🏖️ Benefícios

• Competitive salary • Meaningful equity ownership • Comprehensive health benefits (medical, dental, vision) • Flexible paid time off • Quarterly team off-sites and travel support • New computer hardware and equipment • An inclusive environment where your voice has impact and your work drives change