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Field Coverage: Queens, Nassau County, Suffolk County, and east through Montauk

Work Environment: Onsite / Field-Based

Position Overview

We are seeking an experienced Transport Network Field Technician with strong hands-on knowledge of legacy and modern telecommunications transport technologies.

The primary focus of this role is supporting carrier transport environments spanning DS0, DS1, and DS3 services through SONET OC-3, OC-12, OC-48, and OC-192, alongside Ethernet, IP, wavelength, and DWDM infrastructure.

This position is ideal for a technician who has worked directly in carrier, ILEC, CLEC, MSO, or long-haul network environments and is comfortable troubleshooting both legacy TDM transport and newer optical and packet-based technologies.

Core Responsibilities

Install, provision, test, maintain, and troubleshoot DS0, DS1/T1, and DS3 transport services.

Support SONET networks from OC-3 through OC-192, including circuit turn-up, fault isolation, testing, service restoration, and hardware replacement.

Troubleshoot transport alarms, degraded circuits, synchronization issues, loss-of-signal conditions, and other service-impacting events.

Perform hands-on testing and troubleshooting across legacy TDM and SONET transport environments.

Support Ethernet and IP-based transport services, including carrier Ethernet and packet-based network connectivity.

Install, troubleshoot, and maintain optical wavelength and DWDM services.

Perform fiber testing, inspection, and fault isolation using OTDRs, optical power meters, fiber scopes, and related telecommunications test equipment.

Work with platforms and test tools such as Viavi ONA800 and EXFO FIP500 equipment.

Identify defective transport cards, optics, modules, shelves, and related hardware and perform replacement or escalation as required.

Assist with transport route monitoring, outage response, network restoration, and emergency maintenance.

Verify circuit performance and service quality following installation, repair, or restoration activities.

Maintain accurate documentation of circuit work, testing, equipment changes, and field activity.

Manage field spares, replacement modules, optics, tools, and truck stock required to support transport infrastructure.

Required Technical Experience

Candidates should have strong hands-on experience with several of the following technologies:

Legacy TDM Transport

DS0

DS1 / T1

DS3 / T3

Digital cross-connect and channelized transport environments

Circuit testing and fault isolation

SONET

OC-3

OC-12

OC-48

OC-192

SONET rings and transport architectures

Alarm isolation and service restoration

Optical interface and transport-card troubleshooting

Optical Transport

DWDM

Wavelength services

Optical transport systems

Fiber troubleshooting

OTDR testing

Optical power measurement

Fiber inspection

Packet / Ethernet Transport

Ethernet

Carrier Ethernet

IP transport

Ethernet handoffs

Packet-based service troubleshooting

Preferred Background

Strong candidates will typically come from a telecommunications carrier or service-provider environment, including:

ILECs

CLECs

MSOs

Fiber-network operators

Long-haul or metro transport providers

Telecom infrastructure organizations

Relevant backgrounds may include experience with organizations such as Verizon, Altice/Optimum, Charter, Zayo, Crown Castle, Windstream, Level 3/Lumen, or similar carrier environments.

Education and Training

Technical or vocational training in telecommunications, electronics, networking, or a related field preferred.

Equivalent hands-on carrier experience will be strongly considered.

Military communications, signal, electronics, or telecommunications experience may also translate well to the role.

Ideal Candidate Profile

The ideal candidate is someone who can comfortably move between legacy TDM, SONET, optical transport, and modern Ethernet/IP environments.

A particularly strong fit will have direct field experience troubleshooting DS1/DS3 and SONET circuits, understands how carrier transport networks are built and maintained, and can also support DWDM, wavelengths, fiber testing, and Ethernet/IP transport.

Experience with the legacy side of the network - particularly DS0, DS1, DS3, and SONET OC-3 through OC-192 - is especially valuable.

GCS is acting as an Employment Business in relation to this vacancy.

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We are looking for a SDET with strong automation expertise to build and scale test frameworks from scratch. The role requires deep understanding of automation architecture, CI/CD integration, cloud-based testing, and end-to-end validation across web, API, and mobile platforms.

Key Responsibilities

Design and develop scalable test automation frameworks from scratchImplement parallel testing (cross-browser and multi-device execution)Build and maintain automated tests for web, APIs, and mobile applicationsDevelop scripts for real device testing in local labs and Sauce Labs environmentsIntegrate automation into CI/CD pipelines using Concourse and GitHub ActionsPerform troubleshooting, debugging, and root cause analysisCollaborate with cross-functional teams to ensure product quality

Required Skills

Strong programming skills in Python and solid testing fundamentalsExperience with Cypress (JavaScript) and/or SeleniumHands-on experience with automation framework design and architectureExpertise in parallel execution strategiesExperience with CI/CD pipeline setup and cloud-based testing toolsStrong knowledge of API testing and automation frameworksExcellent problem-solving and troubleshooting skills

GCS is acting as an Employment Business in relation to this vacancy.

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Role :- Machine Learning Engineer

Position Summary

We are seeking a Machine Learning Engineer to join a high-performing AI and Data Science team responsible for developing, deploying, and maintaining predictive machine learning solutions. This role will focus on designing end-to-end ML pipelines, building scalable predictive models, and operationalizing machine learning workloads in a cloud-based environment.

The ideal candidate will possess strong expertise in Python, PySpark, machine learning frameworks, data analysis, and MLOps practices. Experience working with Large Language Models (LLMs) and deploying machine learning solutions in AWS environments is highly desired.

Key Responsibilities

Design, develop, and deploy machine learning models focused on predictive analytics and business intelligence use cases.Build scalable data processing and feature engineering pipelines using PySpark and distributed computing technologies.Develop, test, and optimize machine learning algorithms using Python and Scikit-learn.Implement and maintain end-to-end MLOps pipelines for model training, deployment, monitoring, and lifecycle management.Work with large structured and unstructured datasets to derive actionable insights and improve model performance.Collaborate with data scientists, software engineers, and business stakeholders to translate requirements into production-ready ML solutions.Support the integration of machine learning models into enterprise applications and workflows.Leverage AWS cloud services to build scalable and reliable machine learning infrastructure.Explore and implement Large Language Model (LLM) solutions where applicable.Participate in model evaluation, performance tuning, and continuous improvement initiatives.

Required Qualifications

5+ years of experience in Machine Learning Engineering, AI Engineering, or related disciplines.Strong programming expertise in Python.Hands-on experience with PySpark and large-scale data processing.Experience developing machine learning models using Scikit-learn.Strong background in data analysis, feature engineering, and statistical modeling.Experience building and maintaining MLOps pipelines and model deployment workflows.Knowledge of machine learning lifecycle management, CI/CD, and production model monitoring.Experience working within AWS cloud environments.Familiarity with Large Language Models (LLMs), NLP, or Generative AI technologies.Strong problem-solving and communication skills.

Preferred Qualifications

Experience developing Neural Network models using frameworks such as PyTorch or TensorFlow.Experience with workflow orchestration and pipeline management tools.Exposure to predictive AI solutions and advanced forecasting models.Knowledge of distributed machine learning and scalable AI infrastructure.Experience supporting enterprise-scale machine learning deployments.

Technical Environment

PythonPySparkScikit-learnAWSMLOpsLarge Language Models (LLMs)Machine Learning PipelinesPredictive AnalyticsNeural Networks (Preferred)PyTorch / TensorFlow (Preferred)

GCS is acting as an Employment Business in relation to this vacancy.

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Job Title: Network Engineer

Company:Telecom

Job Description:

We're seeking a skilled Network Engineer to support the nationwide deployment and maintenance of virtual Cable Modem Termination Systems (vCMTS) and Remote PHY (RPHY) turn-ups. This cutting-edge, cloud-based vCMTS technology replaces traditional analog hardware, enabling faster speeds, improved network performance, ensuring reliable activation of next‑generation access network (NGAN) platforms. As part of the NGAN Operations Team, the engineer will be responsible for vCMTS platform stand‑up, including software installation, system validation, network configuration, and ongoing maintenance. By shifting core CMTS functions to edge compute infrastructure, This role demands deep expertise in production operations within a 24x7 environment.

Responsibilities

Perform software installation, system configuration, and network readiness validation for new vCMTS deployments.Execute standardized processes to activate and validate Remote PHY devices across national footprints.Perform system upgrades, RMA replacements, and automation tasks (Python, Bash, etc.)Participate in on‑call rotation to troubleshoot and restore service during outages.Diagnose and resolve issues involving Juniper, Arista, or Cisco network devices.Build, replace, and troubleshoot server hardware and system software.Develop scripts to streamline operational workflows and reduce manual effort.Work with Product and Project Management teams to integrate and operationalize new NGAN products.Partner with regional engineering teams to enhance product stability and build automation tools.

Experience & Skills

5+ years of hands‑on experience in a 24×7 production operations environment.Strong proficiency in Unix/Linux environments.Experience with scripting and automation (Python, Bash, etc.).Proven ability in network troubleshooting and configuration (CCNA/JNCIA optional but beneficial).Demonstrated skill in server hardware and software troubleshooting.Familiarity with Kubernetes, Jenkins, Ansible, Git is a plus

GCS is acting as an Employment Business in relation to this vacancy.

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