Role & responsibilities :Develop and optimize SMPP & SS7 protocol modules for message routing and filtering.Implement low-latency, high-throughput processing for real-time SMS traffic.Work with multithreading, network programming (TCP/IP, SCTP), and memory optimization.Ensure security, failover mechanisms, and compliance with telecom standards.Debug and optimize protocol-related issues using Wireshark, GDB, and Valgrind.C++ with Linux (Latest version), STL, Boost, multithreading.Telecom protocols: SMPP, SS7, SIGTRAN (M3UA, SCCP, MAP, CAP), SIPNetworking & Optimization: TCP/IP, SCTP, load balancing, caching (Redis).Databases: MySQL, PostgreSQL, Cassandra, MongoDB.Debugging & Performance Tuning: GDB, Valgrind, Wireshark.Scripting: Python, Bash for automation and testing.Version control: Git, SVN.Agile Development & Documentation: Jira, Confluence.Experience: 04 - 05 relevant yearsEducation: B.Tech / M.Tech / MCAPreferred Qualifications:Experience in SMS Firewall, fraud detection, and telecom security.Knowledge of Diameter, SIP, and real-time anomaly detection.Certifications in C or C++ development.

Role & responsibilities :Design and maintain ETL workflows for high-volume SMS traffic.Build real-time and batch processing pipelines using Kafka/Spark/Flink/Hadoop.Optimize SQL/NoSQL databases for high-speed data retrieval.Implement data encryption, masking, and access control for security and compliance.Automate data ingestion and processing using Python, Airflow, or Shell scripting.ETL tools: Design and maintain ETL using Python / Apache NiFi / Airflow / Talend / AWS Glue or any orchestration tool.SQL query tuning and database performance optimization.OLAP & OLTP systems, ensuring efficient data lakes and data warehousing.Big data & streaming: Kafka / Spark / Flink / Hadoop or similarDatabases: MySQL / PostgreSQL / MongoDB / Cassandra, Redis or similarProgramming: Python, SQL, Scala, Java.Education:Education level: B.Tech / M.Tech / MCAExperience: 04 - 05 relevant yearsPreferred Qualifications: Experience in cloud-based data services (AWS, GCP, Azure).Knowledge of AI-driven data pipelines & real-time fraud detection.Certifications in Data Engineering (Google, AWS, etc.).This will be 100% Work from Office

Role & responsibilities Design, implement, and deploy ML models to detect spam, fraud, and grey routes in SMS and Voice traffic.Implement real-time anomaly detection and predictive analytics.Work with big data frameworks (Kafka, Spark, Flink, Hadoop) for large-scale processing.Preprocess, clean, and normalize structured and unstructured telecom datasets.Deploy and optimize ML models using TensorFlow, PyTorch, or Scikit-learn.Ensure data security, compliance, and model interpretability.Preferred candidate profile Education: B.Tech / M.Tech / MCAPreferred Qualification: Experience with MLOps, CI/CD for ML models (MLflow, Kubeflow, Airflow).Knowledge of cloud-based AI solutions (AWS Sagemaker, Google AI, Azure ML).Certifications in AI/ML, Data Science, or Telecom Security.ML & AI: Supervised, unsupervised learning, anomaly detection, NLP.Programming: Python (TensorFlow, PyTorch, Scikit-learn), SQL.Data Processing: Pandas, NumPy, SQL, and Spark for large-scale data processing.Big Data & Streaming: Kafka, Spark, Hadoop, Flink.Databases: MySQL, PostgreSQL, MongoDB, Cassandra.Model Deployment: Docker, Kubernetes, AWS Sagemaker, Azure ML, Google AI Platform.