Senior Software Engineer – Infrastructure, Reliability

🕒 il y a 2 mois

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Nametag

Site WebLinkedInTous les Emplois

11 - 50 employés

Fondée en 2020

🔒 Cybersecurity

☁️ SaaS

🏢 Entreprise

💰 Series unknown en 2021-02

Cybersecurity • SaaS • Enterprise

Nametag est une entreprise axée sur la vérification d'identité de la main-d'œuvre, fournissant une plateforme SaaS qui empêche l'usurpation d'identité par deepfake et sécurise les processus de récupération de compte, d'intégration et de support technique. Son moteur Deepfake Defense™ combine cryptographie, biométrie et techniques résistantes à l'IA pour vérifier les humains à travers différents canaux, s'intégrer aux systèmes IAM et ITSM des entreprises, et permettre l'authentification multifacteur en libre-service ainsi que les réinitialisations de mot de passe, afin de réduire les incidents de sécurité et les coûts de support IT.

Description

• 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.

🎯 Exigences

• 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 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.

🏖️ Avantages

• 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