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 Show more Show less