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.

Entry-level role contributing to next-gen SaaS platform development. Build high-quality software using Angular, Core Java, Spring (Spring Boot microservices, Spring MVC) and Hibernate. Participate in peer code reviews, collaborate closely with QA and product management, follow and improve development processes, and apply basic relational and NoSQL database knowledge. Familiarity with Agentic AI tools and full-stack training required.

Entry-level full‑stack apprentice contributing to SaaS product development. Write and review code, follow software development processes, work closely with QA and product, and improve team productivity. Trained in Angular, Core Java, Spring ecosystem, Hibernate, and basic relational and NoSQL databases; familiar with Agentic AI tools.

Entry-level full‑stack apprentice contributing to SaaS product development. Write and review code, follow software development processes, work with Angular, Java, Spring/Spring Boot microservices, Hibernate, and both relational and NoSQL databases. Collaborate closely with QA and product teams and apply training in full‑stack development and Agentic AI tools.

Entry-level full‑stack apprenticeship contributing to SaaS product development. Write and review code, follow engineering best practices, work in rapid development cycles with QA and product teams. Trained in Angular, Core Java, Spring/Spring Boot microservices, Spring MVC, Hibernate, and basic relational/NoSQL databases; familiar with Agentic AI tools.

Entry-level Database Administrator intern to assist with installation, configuration, monitoring, backup/restore, replication, and basic performance tuning for PostgreSQL, TimescaleDB, and MySQL. Work with senior DBAs on automation, documentation, cloud deployments, and troubleshooting; gain exposure to high-availability and security practices.

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 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 deployment, configuration, and troubleshooting of large-scale Kubernetes platforms. Improve solution delivery maturity, implement DevSecOps and secure CI/CD pipelines, maintain R&D platform tools, and mentor junior engineers while collaborating with cross-functional teams to enhance scalability, reliability, and security.