> Markdown version of [/jobs/ext/3590273-cloud-data-platforms-systems-engineer](https://www.wearedevelopers.com/jobs/ext/3590273-cloud-data-platforms-systems-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cloud Data Platforms Systems Engineer - **Company:** Everpure, Inc. - **Location:** New York, NY, United States - **Salary:** $125,000.0 - $165,000.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Microsoft Azure, Backup Devices, Bash Shell, Cloud Computing, Cloud Computing Security, Cloud Database, Continuous Integration, Linux, Disaster Recovery, Monitoring of Systems, Python (Programming Language), Network Security, Performance Tuning, Raw Data, Prometheus, Data Logging, Scripting, Git, Containerization, Kubernetes, Deployment Automation, Data Analytics, Terraform, Software Version Control, Data Pipelines, Docker - **Published:** October 5, 2026 - **Apply:** https://find.jobs/jobs-near-me/apply/ats-redirect/?id=3005093406-2 ## About the Role * Cloud infrastructure (AWS or Azure) * Linux/Windows administration * Infrastructure as Code (Terraform/Cloud * Formation) * CI/CD pipelines * Containerization (Docker/Kubernetes) * Networking and security fundamentals * Monitoring and logging (Cloud * Watch, Prometheus, ELK) * Scripting (Python, Bash, or Power * Shell) * Relational and cloud data warehouses * Version control (Git) ## Description Everpure, Inc. is seeking a Systems Engineer to design, implement, and optimize cloud-based data and analytics platforms for enterprise clients. You'll build scalable, secure infrastructure on AWS/Azure, automate deployments, and integrate data pipelines to support BI, AI, and advanced analytics. Partner closely with data engineers and consultants to troubleshoot performance, optimize costs, and ensure reliability. Everpure offers a collaborative, learning-focused culture where you'll experiment with new tools, share best practices, and help clients turn raw data into actionable insights. Responsibilities * Design and implement scalable, secure cloud infrastructure for data and analytics workloads. * Automate provisioning and deployments using Infrastructure as Code and CI/CD tools. * Collaborate with data engineers and consultants to integrate and optimize data pipelines. * Monitor system performance, reliability, and cost; implement improvements and tuning. * Implement security, backup, and disaster recovery best practices across environments. * Troubleshoot production issues, perform root cause analysis, and document solutions. * Contribute to architecture decisions and cloud/platform standards for client projects. * Evaluate and experiment with new cloud and data platform tools to enhance Everpure solutions.