Jobs at VIAVI Solutions

Lead and manage a software engineering team to deliver cloud-native SaaS products across the full lifecycle: architecture, development, testing, deployment, monitoring and maintenance. Drive engineering best practices, agile processes, performance metrics, cross-team coordination, and continuous improvement while meeting quality, schedule, budget and KPI targets.

Build and own fault-management modules end-to-end: design LLDs, implement near-real-time Kafka Streams and Spark pipelines, develop Java/Spring Boot microservices, debug distributed JVM systems, handle production incidents, and integrate LLM/AI-assisted tooling for fault detection and resolution.

The Intern will assist in automated testing of web applications using Selenium and other tools, collaborating with teams to ensure product quality.

Assist in designing and developing automated tests for web applications using Selenium and other tools while collaborating with teams to ensure quality delivery.

This role involves designing and developing automated tests for web applications, reporting bugs, and collaborating with teams to ensure quality and timely product delivery.

Entry-level ML internship to develop, evaluate, and deploy ML/DL models for telecom network monitoring. Responsibilities include end-to-end MLOps (Kubeflow, MLflow, Kserve), model implementation (TensorFlow, PyTorch, Keras), distributed data processing (PySpark, Kafka), EDA, feature engineering, transformer/LLM work, and collaboration with cross-functional teams.

Entry-level machine learning role to develop, implement, and deploy ML/DL models and MLOps pipelines for telecom network monitoring. Tasks include data preprocessing, feature engineering, time-series and text analysis, experimentation with algorithms (including transformer/LLM architectures), model deployment using Kubeflow/MLflow/KServe, and working with distributed systems (PySpark, Kafka). Collaborate with cross-functional teams and iterate models based on feedback.

Lead and manage software engineering teams to deliver next-gen SaaS products and platforms. Own full project lifecycle, drive quality processes, architecture and deployments, mentor engineers, coordinate cross-functional delivery, and implement continuous improvement. Ensure use of best practices, code reviews, and timely releases within budget and KPIs.