Senior Software Engineer – Infrastructure, Reliability

🕒 vor 2 Monaten

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mails für Remote-Jobs erhalten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

Nametag

WebsiteLinkedInAlle Stellen

11 - 50 Mitarbeiter

Gegründet 2020

🔒 Cybersecurity

☁️ SaaS

🏢 Unternehmen

💰 Series unknown im 2021-02

Cybersecurity • SaaS • Enterprise

Nametag ist ein auf die Belegschaft ausgerichtetes Identitätsverifizierungsunternehmen, das eine SaaS-Plattform bietet, die vor Deepfake-Imitationen schützt und Konto-Wiederherstellungen, Onboarding- und Helpdesk-Prozesse sichert. Die Deepfake Defense™ Engine kombiniert Kryptografie, Biometrie und AI-resistente Techniken, um Menschen über verschiedene Kanäle zu verifizieren, sich in Enterprise-IAM- und ITSM-Systeme zu integrieren und ermöglicht die Selbstbedienung von MFA und Passwort-Zurücksetzungen, um Sicherheitsverletzungen und IT-Supportkosten zu reduzieren.

Beschreibung

• 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.

🎯 Anforderungen

• 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.

🏖️ Vorteile

• 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