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Build and maintain CI/CD pipelines, cloud infrastructure, and Kubernetes clusters for clients using AWS/Azure/GCP, Terraform, and Docker.
Senior data scientist builds and validates contextual bandit systems for retail e-commerce on AWS SageMaker, then takes 24/7 production ownership including monitoring, retraining, and A/B testing.
Build and maintain AWS infrastructure using Terraform and Ansible, ensuring reliability and scalability for production systems with on-call support.
Build and maintain scalable web apps using React/Angular for the front-end and Node.js for the back-end, integrating REST APIs and applying AI tools to streamline development.
Design and maintain AWS-based CI/CD pipelines, IaC with Terraform, and AI/ML services (SageMaker, Bedrock) for a wealth-management client.
Designs and maintains AWS-based CI/CD pipelines and infrastructure for a wealth-management project using Terraform, Docker, and Kubernetes.
Build and maintain Python-based microservices (FastAPI) and Angular frontends that power global logistics operations, ensuring high performance and reliability.
Build and scale the back-end of a data-science platform that models human behavior for healthcare, insurance, and government clients using Python, FastAPI, AWS, and Kubernetes.
Build and maintain a TypeScript/Node.js backend and AWS cloud infrastructure for a smart-office platform, optimizing performance, scalability, and CI/CD pipelines.
Builds and maintains full-stack web apps for a government agency using Python/FastAPI, ReactJS, PostgreSQL, and AWS, following trunk-based development and CI/CD practices.
Build full-stack web apps for global clients using Python/Django and Vue.js, deploy on AWS, and collaborate in Agile teams.
Senior DevOps Engineer builds and secures cloud-native infrastructure and CI/CD pipelines on AWS/Azure/GCP, automating deployments with Terraform and Kubernetes to streamline development workflows.
Build and maintain CI/CD pipelines, cloud infrastructure, and containerized deployments for Python/PHP web apps and internal AI integration servers at Apple’s Employee Engagement Engineering team.
Designs and builds secure, scalable cloud-native systems on Google Cloud Platform, focusing on Kubernetes control planes, automation, and enterprise-grade CI/CD for a financial-services client.
Builds and maintains distributed systems on AWS, automates workflows, and writes REST/SOAP services while collaborating in an Agile team.
Build and optimize AWS-based data pipelines and ML workflows using SageMaker, Kinesis, Glue, and Redshift, ensuring low-latency real-time and batch processing with Python and AWS services.
Build and maintain scalable data pipelines and cloud-based platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Build and maintain scalable data pipelines and cloud-based data platforms using AWS, Python, Spark, and Databricks to power Sportsbet’s analytics and AI-driven products.
Build and maintain a full-stack automation platform for email and LinkedIn workflows using PHP, React, PostgreSQL, and AWS, while owning infrastructure and integrations.
Build and maintain AWS-based data pipelines and warehouses using Glue, Redshift, and S3, with CI/CD and IaC for scalable ETL/ELT workflows.
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