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Job Title: Software Developer III

This role focuses on building secure, scalable applications and helping protect systems used by millions of customers. You'll be part of a forward-thinking team working on innovative cybersecurity solutions.

🔹 Key Responsibilities

Develop and enhance secure software components for Comcast systemsBuild reusable and secure code frameworksIdentify security gaps and implement improvementsParticipate in code reviews and ensure best security practicesSupport end-to-end development, including testing and deploymentTroubleshoot and resolve system issuesEvaluate new technologies and recommend improvementsMentor and support junior team members

🔹 What We're Looking For

Experience in software development (design, development, and production support)Strong understanding of secure coding and application securityFamiliarity with DevOps tools (build and deployment automation)Experience with multiple programming languagesExposure to Agile methodologies (TDD/BDD is a plus)Experience working with open-source frameworksBachelor's degree in a technology-related field (or equivalent experience)

🔹 Why This Role Stands Out

Work with core cybersecurity teamOpportunity to impact systems at large scale (millions of users)Exposure to modern technologies and security practicesCollaborative and innovation-driven environment

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

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Site Reliability Engineer (SRE) - Level 3Job Summary

We are seeking a Site Reliability Engineer (SRE) to build, maintain, and support reliable, scalable, and secure cloud platforms. The ideal candidate will have experience with cloud infrastructure, Kubernetes, automation, monitoring, and production support while working closely with engineering teams to improve platform reliability and operational excellence.

Key ResponsibilitiesManage and support cloud infrastructure and Kubernetes environments.Automate infrastructure using Infrastructure as Code (IaC).Monitor, troubleshoot, and optimize production systems.Support CI/CD pipelines and deployment automation.Participate in incident response, root cause analysis, and reliability improvements.Collaborate with engineering teams on platform enhancements.Develop automation using scripting and DevOps best practices.Participate in production support and on-call rotations.Required SkillsExperience with AWS, Azure, or GCP.Kubernetes and Docker.Terraform or similar IaC tools.Monitoring tools such as Prometheus, Grafana, CloudWatch, or Datadog.CI/CD pipelines and Git.Bash or Python scripting.Qualifications4+ years of experience in SRE, DevOps, Cloud, or Platform Engineering.Strong troubleshooting, automation, and production support skills.Experience with cloud-native technologies and distributed systems.

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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