Lead II - Telco Engineering - RAN Engineer

UST; Gurugram District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

UST in Gurgaon is seeking an experienced Telecom Network Domain SME with deep expertise in Radio Access Network (RAN), 4G/5G, KPI analysis, and end-to-end network performance. The role involves guiding data scientists and software teams in interpreting telecom data and defining AI/ML solutions for performance optimization and operations.

The ideal candidate has 7–10+ years of telecom/RAN experience, strong knowledge of OSS data and network analytics, and proven leadership in collaborating with

Qualifications

• 7–10+ years of telecom/RAN experience.
• Deep knowledge of RAN KPIs and performance metrics.
• Experience with OSS data structures and performance data.
• Strong ability to translate telecom requirements into analytics and AI/ML use cases.
• Mentoring and leading telecom-focused technical teams.

Responsibilities

• Analyze RAN performance data to identify trends, anomalies and optimization opportunities.
• Provide technical guidance on CM/PM/FM OSS data and telecom data structures.
• Support troubleshooting and root-cause analysis for network issues.
• Validate network KPIs and performance reports.
• Lead or support network optimization initiatives across deployments.
• Collaborate with software developers and data scientists to develop analytics and AI/ML solutions for telecom operations.

Skills

RAN Technologies

4G/5G

Network performance

OSS platforms

KPI analysis

CM/PM/FM

Network optimization

Nokia OSS

Data interpretation

Job description

Role Description

Telecom Specialist – Network Domain SME - RAN

Role Description

Telecom Specialist – Network Domain SME - RAN

Job Description: Bangalore, Gurgaon

We are looking for an experienced Telecom Network Domain SME with strong expertise in Radio Access Network (RAN) technologies, 4G/5G, end-to-end network performance, OSS platforms, and KPI analysis.

The role will provide technical guidance to data scientists and software development teams in interpreting telecom data and defining AI/ML and agentic solutions for network performance, optimization, and operations. The position does not require hands-on software development, but requires a strong understanding of telecom concepts, OSS data, network analytics, and performance management.

Experience Range

7–10+ years of relevant telecom/RAN experience

Must-Have Skills

Telecom & RAN Expertise

• Strong understanding of RAN technologies, including 2G/3G/4G/LTE/5G concepts, architecture, and interfaces.


• Strong understanding of end-to-end network domains, network performance, and optimization.


• Deep knowledge of RAN KPIs, performance metrics, and KPI validation.


• Strong understanding of Configuration Management (CM), Performance Management (PM), and Fault Management (FM).


• Hands-on experience interpreting OSS platform data structures and performance data.


• Strong knowledge of telecom/network optimization methodologies.


• Experience with network performance troubleshooting, anomaly identification, root-cause analysis, and optimization.


• Experience with Nokia and/or Ericsson OSS platforms is highly preferred.

Data & Analytics

• Strong ability to analyze network performance data and identify:




• Trends and patterns


• Anomalies


• Performance degradation


• Optimization opportunities


• KPI correlations




• Ability to work with data scientists and software developers to translate telecom requirements into analytics, reporting, and AI/ML use cases.


• Ability to validate KPIs and ensure end-to-end solution alignment across network deployments.


• Understanding of telecom-specific data structures and APIs.

Collaboration & Technical Leadership

• Proven ability to act as a Telecom SME for software engineering and data science teams.


• Ability to translate network/operator requirements into actionable technical solutions.


• Strong technical communication, documentation, and stakeholder management skills.


• Experience mentoring junior engineers/SMEs and conducting knowledge transfer.


• Strong analytical and problem-solving capabilities.

Good-to-Have Skills

AI/ML & Data Analytics

• Experience applying AI/ML to telecom operations, network optimization, or network assurance.


• Understanding of agentic AI use cases for telecom/network operations.


• Familiarity with data analytics platforms and workflows.


• Experience supporting development of network performance dashboards and analytical solutions.


• Understanding of AI/ML model inputs, telecom feature engineering, KPI interpretation, and validation.

Software & Technology

• Software development experience is optional but highly valued.


• Ability to collaborate effectively with developers on new reports, dashboards, APIs, and analytics solutions.


• Familiarity with telecom APIs and OSS data integration.


• Understanding of data pipelines and data engineering concepts.

Operator & Deployment Experience

• Experience supporting major global operators such as Airtel, AT&T, T-Mobile, Dish, Jio, or similar Tier-1 operators.


• Experience with enterprise and large-scale carrier deployments.


• Proven experience delivering telecom solutions from network optimization through operational deployment.


• Experience working in large, complex, multi-vendor network environments.

Key Responsibilities

• Analyze RAN performance data and identify trends, anomalies, and optimization opportunities.


• Provide technical expertise on CM/PM/FM OSS data and telecom data structures.


• Support troubleshooting and root‑cause analysis for network-related issues.


• Validate network KPIs and performance reports.


• Lead or support network optimization initiatives across enterprise and large-scale carrier deployments.


• Collaborate with software developers and data scientists to develop:




• Performance reports


• Network analytics solutions


• AI/ML use cases


• Agentic AI solutions for telecom operations




• Translate telecom operational requirements into actionable technical specifications.


• Provide technical guidance on interpretation of network and OSS data.


• Ensure end-to-end alignment between network requirements, analytics solutions, and operational deployments.


• Prepare and review technical reports, dashboards, and performance insights for stakeholders.


• Mentor junior team members on OSS platforms, network optimization, and telecom technologies.


• Support continuous improvement of network performance and operational efficiency.

Technical Competencies

RAN 2G/3G/4G/5G, LTE, RAN architecture OSS CM, PM, FM data and OSS workflows OEM Nokia and Ericsson preferred Network Performance KPI analysis, monitoring, troubleshooting Optimization RAN/network optimization methodologies Analytics Network performance data analysis and anomaly detection AI/ML Telecom AI/ML use cases and solution guidance APIs/Data Telecom data structures and APIs Reporting Performance reports, dashboards, KPI validation Software Development Optional; collaboration with development teams required

Soft Skills

• Strong cross-functional collaboration.


• Excellent analytical and problem‑solving skills.


• Strong technical communication and documentation.


• Ability to work independently and within global teams.


• Technical mentoring and knowledge transfer.


• Ability to communicate complex telecom concepts to non-telecom technical teams.


• Strong stakeholder management skills.

Added Advantage

• Telecom certifications from Nokia, Ericsson, or other recognized industry bodies are a plus.

Ideal Candidate Profile

The ideal candidate will have 7–10+ years of telecom/RAN experience and demonstrate:

• Strong hands‑on knowledge of RAN and OSS platforms.


• Proven expertise in network performance, KPI analysis, troubleshooting, and optimization.


• Experience working with global Tier-1 operators or large enterprise deployments.


• Ability to bridge the gap between telecom operations, data science, software engineering, and AI/ML teams.


• Experience translating network requirements into analytics and AI-driven solutions.


• Strong understanding of end-to-end network performance and operational deployment.


• Ability to provide technical leadership without necessarily being a software developer.

Skills

4G/5G, Data Analysis, Fault Management, Issue Analysis, Operations Research, KPI Reporting, RAN, Process Documentation, Technical Leadership