Senior Technical Lead, SMO

Posted 7 Days Ago
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Pune, Mahārāshtra
In-Office
Senior level
Software
The Role
Lead data analytics initiatives in telecom using the ELK Stack. Design architecture, manage projects, and optimize solutions for performance and scalability.
Summary Generated by Built In
We are seeking an experienced Technical Lead to spearhead data analytics initiatives leveraging the ELK Stack (Elasticsearch, Logstash, Kibana) within the telecom domain. The ideal candidate will combine deep technical expertise in ELK with strong leadership skills and telecom industry knowledge to deliver scalable, high-performance analytics solutions.

Required Skills

  • Core Technical Expertise -

  • ELK Stack: Elasticsearch, Logstash, Kibana (installation, configuration, cluster management).
    Beats (Filebeat, Metricbeat) for data collection.
    Query DSL, KQL, scripted fields in Elasticsearch.
    Logstash plugins (Grok, JSON, Mutate) for parsing telecom data.

  • Programming & Tools 
  • Python, Shell scripting for automation and data processing.
    Familiarity with Kafka, and cloud platforms (AWS, Azure, GCP).
    Linux/Unix proficiency.
     
  • Telecom Analytics
  • Understanding of telecom protocols (LTE, 5G,NSA).
    Experience with network KPIs and Service KPIs

Key Responsibilities

  • Leadership & Strategy
  • Lead and mentor a team of engineers and analysts on ELK-based projects.
  • Define technical architecture and roadmap for telecom analytics platforms.
  • Collaborate with senior stakeholders to align solutions with business objectives.

  • ELK Stack Implementation
  •  Design, configure, and manage ELK clusters for large-scale telecom data.
  • Develop Logstash pipelines for ingestion, parsing, and enrichment of telecom logs (e.g., CDRs, network KPIs).
  • Create advanced Kibana dashboards for real-time visualization and analytics.

  • Integration & Optimization
  • Integrate ELK with big data frameworks (Hadoop, Spark) and streaming platforms (Kafka).
  • Optimize Elasticsearch for high-volume telecom datasets (indexing, shards, replicas, query performance).
  • Implement alerting and anomaly detection for network performance and fraud analytics.

Qualifications required

  • Bachelor’s/Master’s in Computer Science, Telecommunications, or related field.
  • 10+ years in software/data engineering, with 4+ years in ELK and telecom analytics.
  • Strong leadership and stakeholder management skills.

Top Skills

AWS
Azure
Beats
Elasticsearch
Elk Stack
GCP
Kafka
Kibana
Linux
Logstash
Python
Shell Scripting
Unix
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The Company
HQ: Nashua, NH
654 Employees
Year Founded: 2012

What We Do

At Parallel Wireless, we believe that software has the power to unleash amazing opportunities for the world. We disrupt the ways wireless networks are built and operated. We are reimagining how hardware, software and the cloud work together to change deployment economics for our customers. Our ALL G O-RAN software platform forms an open, secure and intelligent RAN architecture to deliver wireless connectivity, so all people can be connected whenever, wherever, and however they choose. We are engaged with over 50 global MNOs and have been recognized with over 74 industry awards. At the core of what we do is our team of Reimaginers who value innovation, collaboration, openness and customer success. For more information, visit: www.parallelwireless.com.

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