Role: Senior Cloud & AI Developer – Telecom Fraud Analytics

Working Location: Remote / Hybrid (Preferred: Canada or North America)

Employment Type: Full-time 

Experience: 5+ Years

Role Overview 

We’re building next-generation telecom fraud detection solutions that blend network intelligence with advanced analytics and AI. We’re seeking experienced developers who understand how to turn complex telecom and network data — from CDRs to DPI and firewall logs — into actionable insight for preventing revenue leakage and abuse.

Responsibilities

• Design and develop scalable microservices on Google Cloud Platform (GCP) for high-volume data ingestion, processing, and analysis.
• Integrate multiple telecom and network data sources (CDRs, firewall logs, DPI, subscriber data, billing events) into unified analytics pipelines.
• Design and implement fraud detection models using advanced analytics, machine learning, and rule-based engines.
• Collaborate with telecom domain experts to codify fraud patterns and automate detection workflows.
• Optimize cloud infrastructure for performance, scalability, and cost efficiency using GCP tools (BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Run).
• Contribute to data governance, security, and real-time alerting mechanisms.

Required Skills and Experience

• 5+ years of experience in software development using Python, Java, or Go.
• Proven work with Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Functions/Run).
• Strong understanding of telecom BSS/OSS, CDR structures, network flows, and fraud scenarios (e.g., SIM box, roaming abuse, bypass, revenue leakage).
• Experience architecting and building microservices and data pipelines.
• Hands-on skills in machine learning or anomaly detection using frameworks such as TensorFlow, scikit-learn, or similar.
• Familiarity with data visualization tools and APIs for analytics dashboards.
• Strong problem-solving ability and ability to work in an agile, collaborative environment.

Nice to Have

• Background in network analytics, firewall/DPI data, or SIEM integration.
• Knowledge of cloud-native security, Kubernetes, or API gateways.
• Exposure to real-time stream processing and event correlation architectures.

Why Join Us

• Opportunity to shape a platform at the intersection of telecom systems and AI innovation.
• Work with diverse data sources and cutting-edge GCP technologies.
• Competitive compensation and flexible work culture.