Backend Engineer

A profitable Cybersecurity Unicorn and global market leader in identity verification and biometric authentication systems.

The company builds an advanced cloud platform enabling organizations to seamlessly integrate secure, multi-modal biometric authentication spanning facial recognition, fingerprint verification, voice biometrics, and adaptive identity flows into consumer and enterprise applications.

Serving premier global banks, major insurance conglomerates, and high-growth digital businesses, the firm combines strong profitability with massive enterprise scale.

Operating with hundreds of professionals globally and a substantial R&D center in Israel, the team tackles complex distributed systems and big data challenges. The office is located in Tel Aviv adjacent to the train station, operating on a hybrid model with two days working from home.

Role Description-

• Serving as a Senior Infrastructure / Platform Engineer, joining the foundational Core Infrastructure team reporting directly to the Team Lead.

• Taking cross-functional technical ownership over the foundational cloud platforms, data processing backbones, and shared services supporting all company products.

• Designing and building high-throughput, low-latency infrastructure components primarily using Python, supporting massive transaction volumes.

• Operating, scaling, and automating containerized workloads on Kubernetes (K8s) utilizing Helm and cloud-native orchestration tools.

• Architecting resilient data pipelines and distributed streaming workflows on Google Cloud Platform (GCP) leveraging Apache Beam and enterprise Big Data technologies.

• Managing, tuning, and optimizing persistent data layers across relational systems, specifically PostgreSQL, alongside modern distributed storage engines.

• Driving high reliability, automated observability, and developer velocity across cross-functional engineering teams.

Requirements-

• 5+ years of hands-on backend or infrastructure software development experience utilizing Python, Node.js, Go, or C# – Mandatory

• Proven hands-on production experience with Kubernetes (K8s) (cluster operations, deployments, and workload management) – Mandatory

• Solid practical experience with Cloud platforms (GCP strongly preferred / AWS) – Mandatory

• Strong background working with relational databases, specifically PostgreSQL (schema design, indexing, and performance tuning) – Mandatory

• Experience with Big Data processing frameworks or streaming pipelines (such as Apache Beam, Kafka, or Spark) – Significant Advantage

• Hands-on proficiency with Helm, Infrastructure as Code, and modern CI/CD automation – Advantage

• Prior engineering background within Cybersecurity, FinTech, Identity Management, or high-scale distributed platforms – Advantage