Job Description

Join our Team

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About this opportunity:

We are looking for Associate Engineer - DS1 & TA1 to strengthen our Service Delivery team. In this role, you will ensure seamless Operations & Maintenance (O&M), manage incidents and emergencies, and provide advanced technical troubleshooting. You will also support project activities, automation, and AI-driven initiatives, while working closely with stakeholders, hardware partners, and global support teams. This is a high-impact role where your expertise will directly contribute to network stability, customer experience, and the evolution of intelligent, future-ready telecom services.

What you will do:

Deliver O&M support, ensuring availability and performance of core and cloud systems. Lead incident and emergency handling, providing timely resolution and RCA for critical events. Support project execution including new node acceptance tests and technology rollouts. Drive automation and AI initiatives for predictive maintenance, proactive fault detection, and operational efficiency. Monitor and review TT, CR, and AT performance, ensuring adherence to MSTOP guidelines. Ensure MIR release and user access controls in line with Ericsson standards. Collaborate with cross-functional teams, hardware partners, and stakeholders for smooth service delivery. Interface with regional and global support teams for escalated issues and knowledge sharing.

The skills you bring:

Bachelor's degree in engineering (Telecom/IT/Computer Science) or equivalent. 1-3 years in Telecom O&M, Service Delivery, or Customer Support. Hands-on experience with Ericsson Charging System preferred. Exposure to AI/ML-driven operations or automation frameworks is an advantage. Familiarity with incident, problem, and change management processes. Intelligent Networks (IN), CAMEL, INAP. Voice Call & Signalling Routing, Network Architecture & Protocols. End-to-End Performance Audit & Optimization. IP Networking & Network Security. Knowledge of AI-based monitoring and data analytics tools. ITIL, Oracle, CCNA, Red Hat. Cloud, Automation, or AI/ML certifications are a plus. Strong analytical and troubleshooting mindset. Clear and effective communication with stakeholders. Ability to perform under pressure and meet SLA/WLA targets. * Collaborative, knowledge-sharing, and innovation-focused.