Cloud DevOps and Data Platform Engineer

March 26

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uMed

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uMed is a company that specializes in building consented patient cohorts to accelerate research and generate insights that improve patient outcomes. Their ACCESS Research Platform is embedded across a global network of healthcare institutions, allowing researchers to access custom patient data from remote electronic health records, clinical outcomes, and patient-generated data. uMed collaborates with healthcare providers, life science researchers, and companies to address evidence gaps in research, improve treatment development, and make research more accessible. Their platform supports evidence collection and helps answer new research questions through deeply characterized patient data, ensuring privacy and transparency for all stakeholders involved.

11 - 50 employees

⚕️ Healthcare Insurance

🧬 Biotechnology

🔬 Science

💰 $4.8M Seed Round on 2020-12

📋 Description

• uMed is a cutting-edge healthtech and data platform revolutionising clinical research. • uMed combines RWE with the power of patient-generated data to address evidence gaps in life science research. • We are looking for an experienced and skilled Cloud, DevOps, & Data Platform Engineer to join our dynamic team. • You will manage cloud operations, platform resilience, cost efficiency, and enable data workflows. • Handle AWS administration, access management, and help maintain secure compliant infrastructure. • This role includes supporting our data science and analytics workflows. • Help deploy and manage tools like JupyterHub and provision secure access to cloud-based data storage. • Collaborate with data stakeholders to ensure a smooth, reliable environment for analysis and experimentation.

🎯 Requirements

• 3+ years of experience designing, deploying, and maintaining AWS infrastructure, with a focus on automation and Infrastructure as Code. • Experience with AWS Copilot CLI or equivalent container deployment tooling. • Hands-on with EC2, RDS, S3, Lambda, ECS/Fargate, and IAM/Identity Center. • Familiarity with CloudFormation for managing or reviewing AWS stack templates. • Experience using Ansible for automation and configuration management. • Proficiency with Docker for containerizing applications and services. • Experience with CI/CD pipelines, ideally using GitHub Actions, GitLab CI/CD, or CircleCI. • Familiarity with monitoring/logging using DataDog, CloudWatch, and alerting best practices. • Experience managing access, roles, and credentials in alignment with security best practices. • Familiarity with ISO 27001 or similar security compliance frameworks. • Comfortable working in Ubuntu/Linux environments. • Proficient in Python, especially for scripting, automation, or backend development. Experience with Django is a plus. • Comfortable writing and debugging Bash scripts for operational tasks. • Solid understanding of VPC networking, routing, subnets, and firewall/security group configurations. • Desktop/IT support experience, especially troubleshooting issues on remote computers. This is required for managing the TPP Hub.