RAN Optimization Engineer

Randstad Technologies Recruitment; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

Randstad Technologies Recruitment is seeking a Performance Specialist to join the Regional Planning & Optimisation team in the UK. You will maintain radio network KPI metrics, investigate issues, and drive continuous improvements to ensure top-tier network performance and a first-class subscriber experience.

In this role you will monitor KPI metrics regionally and at cell level, perform RF tuning and manage remedy incidents, and collaborate with operations and managed service providers to

Qualifications

• Advanced knowledge of Mobile Network RAN optimization, planning, and performance.
• Hands-on experience with Huawei, Ericsson, or Nokia performance counters, parameters, and RAN alarm diagnostics.
• Proven track record in a live operational telecom environment.
• Strong analytical skills to interpret complex, incomplete datasets for decisive actions.
• Clear written and verbal communication to justify actions to stakeholders.

Responsibilities

• Performance Monitoring: Monitor network KPI metrics regionally and at cell levels to investigate changes and find root causes.
• Issue Resolution: Investigate customer network issues and implement action plans including RF tuning and remedy incidents.
• AI Training: Provide feedback to data-driven AI operations to improve anomaly detection and root cause analysis.
• Collaboration: Work with operations and managed service providers to progress and resolve faults effectively.
• Data Analytics: Use advanced analytics to build evidence packs and support business decisions.

Skills

RAN optimization

Vendor diagnostics

Operational telecom experience

Data analytics

Communication skills

Job description

Location: UK-based (London, Bristol, Birmingham, Manchester, Ipswich, or Glasgow)

Contract: 6 Months (Inside IR35)

Clearance: BPSS Required

Working Hours: 37.5 hours/week (Shift pattern covering 08:00-20:00 Mon-Fri, and 08:30-17:00 Weekends/Bank Holidays)

About the Role

We are seeking a Performance Specialist to join our Regional Planning & Optimisation team. You will be responsible for maintaining radio network KPI metrics, investigating and resolving customer issues, and driving continuous improvements to ensure top-tier network performance and an excellent subscriber experience.

Key Responsibilities

• Performance Monitoring: Monitor network KPI metrics at both regional (top-down) and cell levels (bottom-up) to investigate abnormal changes and determine root causes.

• Issue Resolution: Investigate reported customer network issues and implement action plans, including performing RF tuning, managing remedy incidents, and requesting network investments.

• AI Training: Provide feedback to data-driven AI operations algorithms to improve anomaly detection and root cause analysis recommendations.

• Collaboration: Work closely with operations and managed service providers to ensure performance-impacting faults are progressed and resolved effectively.

• Data Analytics: Utilize advanced data analytics to build evidence packs, drive business decisions, and improve departmental ways of working.

• Team Support: Share knowledge openly and support the development of less experienced team members.

Required Skills & Experience

• RAN Expertise: Advanced knowledge of Mobile Network RAN optimization, planning, and performance.

• Vendor Knowledge: Hands-on experience with Huawei, Ericsson, or Nokia performance counters, parameters, and RAN vendor alarm diagnostics.

• Operational Experience: Proven track record of working within a live operational telecom environment.

• Data & Decision Making: Strong analytical skills with the ability to interpret complex, incomplete datasets to make confident, actionable decisions.

• Communication: Clear written and verbal communication skills to justify actions and secure stakeholder buy-in.

Preferred Experience

• Drive survey analysis.

• Coverage predictions and analysis using the Atoll planning system.

• Experience using Crowd datasets to measure actual coverage levels and serving cells.