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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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Role Summary

We are seeking a Senior Looker Administrator (Looker SME) with deep expertise in enterprise-scale analytics environments. The ideal candidate will play a key role in stabilizing platform operations, supporting cloud migration initiatives, enabling API-driven AI use cases, and transferring knowledge to internal teams to build sustainable long-term capabilities. This role is critical to mitigating operational risk, delivery challenges, and platform instability during these transformations.

Key Responsibilities

Provide L3/L4 production support for Looker environments (Dev & Prod)Lead and validate platform upgrades, releases, and patchingManage and optimize LookML development lifecycle and GitHub-based workflowsDiagnose and resolve complex performance, query, and modeling issuesImplement automated user provisioning and entitlement managementResolve access issues including azure AD group synchronizationEstablish and document governance frameworks and best practicesSupport and extend Looker APIs, including: Inline Queries, Query ID, Admin APIsAnalyze and optimize performance, concurrency, and usage patternsEnable API-driven AI use cases, including dynamic SQL generationDefine and execute test strategies for migration from customer-hosted to Google-hosted LookerSupport POC execution with minimal business disruptionSupport Teradata to Snowflake migration validation via Looker

Required Qualifications

7+ years of experience in Analytics / BI Engineering4+ years of hands-on Looker experience in enterprise environmentsExpert-level proficiency in:LookML developmentLooker Dev/Prod lifecycle managementGitHub-based CI/CD workflowsStrong experience with Looker APIs (Inline Queries, SDKs, Admin APIs)Proven experience supporting platforms with 1,000+ usersSolid understanding of identity and access management systems (Azure AD preferred)

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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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