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Job Description: Golang Developer

Position Overview

We are seeking a Golang Developer to join a cutting-edge project focused on voice-driven content retrieval. The ideal candidate will have strong backend development skills, deep Linux expertise, and experience with authentication and containerization technologies. This role involves building secure, scalable services that enable real-time voice interactions for content access.

Key Responsibilities

Develop new functional features in GoLang for voice-based content retrieval.Debug and resolve software defects to ensure system reliability.Maintain high standards for code quality and implement optimized solutions.Participate in solution design sessions and contribute to technical decision-making.Document solutions and break down business requirements into technical tasks.Estimate effort accurately and deliver within timelines.Reverse engineer existing code to enhance legacy components.

Required Skills

Strong hands-on experience with GoLang programming.Exposure to Docker and Kubernetes for containerized deployments.Solid Linux background, including:PKI certificate management.SSH key management.Understanding of Active Directory/LDAP, user/group structures, LDAP queries, and filters.Experience with open-source components such as DNS, certificates, LDAP schema, and PAM authentication modules.Knowledge of Access and Authentication mechanisms (SSO, MFA).Familiarity with version control systems (GitHub).Experience with SQL and NoSQL databases.

Experience

Minimum 2 years of GoLang development experience.2 years of C programming (preferred).6 years of programming experience on Linux OS.2 years of Python/JavaScript experience.Knowledge of reverse engineering techniques.

Soft Skills

Self-driven and proactive.Strong problem-solving and analytical skills.Ability to work independently and collaborate in design discussions.

What You'll Learn & Grow

Gain hands-on experience building scalable, voice-driven backend applications.Deepen your expertise in GoLang, Linux, and distributed systems.Work with modern containerization and orchestration technologies, including Docker and Kubernetes.Strengthen your knowledge of authentication, identity management, and enterprise security practices.

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

Contract: 12+ Months

Role- Hybrid- 4 days onsite in a week

Job Description

A telecom network is seeking an experienced Network Engineer to support lab‑based testing, configuration, and validation of network technologies that power our nationwide infrastructure. This role focuses heavily on backup connectivity solutions using Cradlepoint, integration with LTE networks, and hands on work with SD‑WAN Versa or any similar products and next‑generation firewalls like Palo Alto, Fotigate or any other devices.. You'll work within a lab environment to test, optimize, and validate network designs that enhance reliability, performance, and scalability across Comcast's edge and customer‑facing networks. This includes supporting traditional and next‑gen network hardware, enabling faster speeds, improved resiliency, and enhanced customer experience.

Responsibilities

Configure, test, and validate Cradlepoint devices for backup connectivity and LTE network integration.Perform hands‑on configuration of IP routers, switches, telephony CPE, and Cradlepoint hardware.Design, configure, and deploy LAN/WAN network connections, including hardware, software, and communication services.Support and troubleshoot SD‑WAN Versa deployments in a lab environment.Work with next‑generation firewalls for configuration, testing, and policy validation.Optimize network and system performance; identify and resolve performance bottlenecks.Support traditional analog and digital network hardware as needed.Monitor and maintain network infrastructure to meet Comcast standards for reliability and performance.Participate in lab testing cycles, documentation, and validation of new network solutions.Collaborate with engineering teams to support edge compute and network intelligence initiatives.

Required Skills & Experience

5-8 years of hands‑on experience with Cisco and Juniper routers.Strong knowledge of internetworking design, routing, and backup connectivity solutions (Cradlepoint preferred).Solid understanding of Layer 2 and Layer 3 technologies.Deep experience with routing protocols such as BGP, MPLS, OSPF.Hands‑on experience with SD‑WAN technologies, preferably Versa.Experience with next‑generation firewalls such as:Cisco ASAPalo AltoFortinet / FortiGateJuniper SRXCheck Point NG

Qualification

Experience building, replacing, and validating system hardware in a lab environment.Exposure to network automation, scripting, or risk‑management practices.Familiarity with LTE/5G connectivity and wireless backup solutions.

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

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