
51 - 200 employees
📡 Telecommunications
☁️ SaaS
📣 Marketing
Telecommunications • SaaS • Marketing
VOX SOLUTIONS is a telecom-focused technology and services company that helps mobile network operators, enterprises, and advertisers monetise and secure SMS, voice and data traffic. Their flagship VOX360 platform, backed by the CLARA AI engine, provides real-time traffic classification, AI-powered fraud protection, and monetisation tools for A2P messaging, voice flows and adtech activation. They also offer enterprise SMS/voice products, virtual numbers, carrier-grade CPaaS APIs (REST/SMPP), and TrueSignal — an adtech product that converts operator network signals into authenticated advertising inventory. VOX serves 35+ mobile operators, 400+ partners, and promotes fully managed, zero-CAPEX deployments worldwide.
🔥 1 hour ago
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51 - 200 employees
📡 Telecommunications
☁️ SaaS
📣 Marketing
Telecommunications • SaaS • Marketing
VOX SOLUTIONS is a telecom-focused technology and services company that helps mobile network operators, enterprises, and advertisers monetise and secure SMS, voice and data traffic. Their flagship VOX360 platform, backed by the CLARA AI engine, provides real-time traffic classification, AI-powered fraud protection, and monetisation tools for A2P messaging, voice flows and adtech activation. They also offer enterprise SMS/voice products, virtual numbers, carrier-grade CPaaS APIs (REST/SMPP), and TrueSignal — an adtech product that converts operator network signals into authenticated advertising inventory. VOX serves 35+ mobile operators, 400+ partners, and promotes fully managed, zero-CAPEX deployments worldwide.
• Build and maintain Kafka ingestion pipelines • Define topic structures, partition strategies, retention policies, and consumer logic for multi-tenant setups • Manage data contracts and schema evolution • Develop idempotent ingestion services that land data into Iceberg tables • Design and optimize Iceberg tables (partitioning, compaction, clustering, retention rules) • Work with Nessie branches/tags to manage multi-environment (dev/test/prod) and multi-MNO deployments • Develop Spark jobs (batch + micro-batch where needed) for cleaning and normalizing events, categorizing senders, and identity stitching and grouping • Build dbt models on top of Iceberg datasets via Dremio and dbt
• 3+ years of experience as a Data Engineer or equivalent, with documented experience in working with big datasets • Strong Python engineering skills (must-have) • Experience building pipelines on Apache Kafka (KRaft mode preferred) • Strong SQL + experience with Iceberg table design and optimization • Experience with Spark for large-scale processing • Experience with dbt and SQL modeling on lakehouse storage • Experience working with Dremio, Trino, or similar query engines • Experience with Kubernetes, Helm, and Git-based CI/CD • Understanding of PII handling, encryption, and compliance requirements • Ability to work in distributed, multi-environment setups (dev/test/prod + multi-deployments)
• Competitive compensation and benefits • Vacation and time-off packages • Stock options
Apply Now🕒 July 17
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