DevOps Engineer

An exceptional, highly profitable Cybersecurity Unicorn that has engineered an industry-defining identity verification and pass wordless authentication platform.

The company's enterprise-grade system allows global developers to seamlessly embed advanced biometric authentication layers such as high-fidelity facial recognition, fingerprint telemetry, and voice verification into complex customer applications.

Serving the world's largest financial institutions and insurance giants via its flagship core B2B platform, alongside a high-velocity, multi-tenant SaaS product tailored for mid-market businesses, the organization manages hundreds of millions of digital identities worldwide.

Operating with a global headcount of 300 professionals (including a core hub of 145 specialists in Israel).

Located in a premier Tel Aviv tech district (exceptionally accessible, situated immediately adjacent to a main train station) and operating on a hybrid model with two days of remote work per week.

Position Overview-

• Senior DevOps Engineer joining a collaborative, highly capable 3-person infrastructure engineering cell reporting directly to the DevOps Team Lead.
• Architecting, scaling, and maintaining mission-critical multi-cloud topologies across heavy production environments, ensuring absolute high-availability, fluid data routing, and rapid CI/CD velocity.
• Overseeing heavy containerized clusters and large-scale managed databases that process high-concurrency biometric validation workflows around the clock.

Requirements-

• 5+ years of proven professional experience operating as a DevOps Engineer within highly scalable, mission-critical production environments - Strictly Mandatory
• Profound, low-level technical mastery operating within and troubleshooting complex Linux operating system environments - Mandatory
• Extensive, hands-on production experience designing infrastructure over AWS or GCP (multi-cloud infrastructure experience is highly advantageous) - Mandatory
• Deep architectural proficiency managing and orchestration large-scale containerized clusters using Kubernetes - Mandatory
• Practical experience building Infrastructure as Code (IaC) utilizing Terraform, alongside modern CI/CD automation pipelines - Mandatory
• Prior hands-on exposure to cloud data layers or large distributed databases (e.g., BigQuery, BigTable, CloudSQL) - Advantage