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Build and maintain the internal platform and CI/CD pipelines that let 100–150 engineers ship code reliably, using AWS, Kubernetes, Terraform, GitLab CI, and Python automation.
Build and maintain Kubernetes-based platforms, CI/CD pipelines, and observability stacks for engineering teams using AWS, Terraform, and Python automation.
Build and maintain Kubernetes-based infrastructure, CI/CD pipelines, and observability tooling to support 100–150 engineers, using AWS, Terraform, Python, and GitLab CI.
Build and maintain the internal platform that lets 100–150 engineers ship code reliably; hands-on work with AWS, Kubernetes, Terraform, CI/CD, and observability tooling.
Build and maintain the internal platform that lets 100–150 engineers ship code reliably; own Kubernetes clusters, CI/CD pipelines, observability, and automation with AWS, Terraform, and Python.
Senior DevOps Engineer at monday.com to design, build, and maintain scalable AWS cloud infrastructure, Kubernetes clusters, and CI/CD pipelines for Node.js apps, ensuring high availability and reliability.
Builds and maintains Java-based cloud services using Spring Boot, AWS (EKS/EC2), Kubernetes, Docker, and Terraform, with CI/CD pipelines and unit testing.
Build and maintain Java-based microservices using Spring Boot and AWS, focusing on scalability and system performance within a DevOps-driven product team.
Build full-stack apps with a strong UI focus using React/TypeScript on the frontend and Node.js on the backend, deploying on AWS and optimizing performance.
Build and scale a big-data platform in AWS/Databricks to resolve and map client relationships, writing Python ETL pipelines, Spark jobs, and APIs that process terabytes of financial data.
Build and maintain backend services in Python and APIs for a real-time personalization platform, occasionally contributing React-based frontend features.
Senior Data Engineer to design, build, and optimize data pipelines and warehouses in Snowflake, migrating ~1,000 pipelines while using Talend, Kafka, and cloud platforms.
Senior full-stack engineer building and owning a Java/Spring Boot backend and Angular frontend hosted on AWS, with PostgreSQL and Docker.
Designs, builds, and maintains scalable cloud infrastructure for research and trading systems using AWS services like EC2 and EKS, while automating deployment pipelines.
Build and maintain data pipelines for AI-driven SaaS products (DemandSens, Sellia) using Airflow, Python, and cloud services (AWS/Azure) to power predictive analytics and sales forecasting.
Build and maintain the data stack for AI teams that detect objects in satellite imagery using Python, Airflow, PostgreSQL, and AWS, while also contributing to model training pipelines.
Designs, implements, and maintains AWS-based infrastructure using Terraform/CloudFormation, ensuring reliability, security, and cost efficiency for hybrid work environments.
Build and optimize large-scale data pipelines and distributed systems using Spark, Databricks, and AWS to power AI-driven B2B intelligence products.
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