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Cloud, DevOps, & Data Platform Engineer

About us

uMed is a cutting-edge healthtech and data platform revolutionising clinical research. uMed combines RWE with the power of patient-generated data to address the evidence gaps in life science research. 

By leveraging uMed’s ACCESS Research Platform, embedded across a global network of healthcare institutions, researchers can rapidly access and engage with patients to generate insights derived from the decentralized collection of electronic health records, clinical outcomes, patient-reported data, and biosamples. 

Who we are looking for

We are looking for an experienced and skilled Cloud, DevOps, & Data Platform Engineer to join our dynamic team who can take ownership of our cloud environment, manage database infrastructure and access, and contribute to backend engineering efforts, when needed.

This is a hybrid role designed for someone who thrives in a startup environment, enjoys working across infrastructure and data, and is comfortable jumping into hands-on backend work when needed. In this role, you will be responsible for managing cloud operations, platform resilience, cost efficiency, and enabling data workflows. You’ll also handle AWS administration, access management, and help maintain a secure and compliant infrastructure (e.g., ISO 27001).

This role reports to the CPTO with dotted line reporting to the Head of Engineering.

Data Platform Enablement (Part of This Role)

In addition to core infrastructure responsibilities, this role includes supporting our data science and analytics workflows. You’ll help deploy and manage tools like JupyterHub, provision secure access to cloud-based data storage (e.g., S3, RDS, Redshift), and collaborate with data stakeholders to ensure they have a smooth, reliable environment for analysis and experimentation. While not a full-time data platform engineer, we’re looking for someone excited to bridge infrastructure and data, and enable high-impact data-driven work across the organisation.

Responsibilities:

Cloud Infrastructure & DevOps

  • Use AWS Copilot CLI to deploy and manage containerized applications (ECS/Fargate).
  • Configure and maintain environments, networking (VPC), IAM roles, and load balancers via Copilot-generated infrastructure.
  • Monitor application and infrastructure health via CloudWatch, CloudTrail, and DataDog.
  • Participate in incident response, vulnerability reporting, and platform hardening efforts.
  • Support cost optimization by tracking usage trends, identifying underutilized resources, and removing unused infrastructure.
  • Define and maintain disaster recovery procedures and help improve system resilience and recoverability

Database Administration

  • Administer cloud-hosted databases on AWS.
  • Manage user access provisioning, role management, credential rotation, and backup/restore.
  • Monitor database performance and optimize queries or schema as needed.
  • Enforce audit logging, encryption, and ISO 27001-aligned security practices.

TPP Hub

  • Install and manage Java applications (OpenAS2 is a plus).
  • Troubleshoot issues on remote computers.

Data Platform Support

  • Deploy and maintain JupyterHub or similar environments for data scientists and analysts.
  • Provision secure access to S3 buckets, RDS, Redshift, or other analytical infrastructure.
  • Support and troubleshoot infrastructure-related issues that affect data workflows.

Backend Development (Optional)

  • Support development of backend services using Python and Django.
  • Collaborate with the engineering team on new features, bug fixes, and technical design.
  • Contribute to testing, CI/CD pipeline maintenance, and performance tuning.

  • 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.

Average salary estimate

$105000 / YEARLY (est.)
min
max
$90000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Cloud, DevOps, & Data Platform Engineer, uMed

At uMed, we’re on a mission to transform clinical research with our innovative healthtech and data platform! We are currently seeking a skilled Cloud, DevOps, & Data Platform Engineer to join our vibrant team. In this hybrid role, you will take ownership of our expansive cloud environment, manage our database infrastructure, and contribute to our backend engineering efforts. We’re looking for someone who thrives in a dynamic, startup atmosphere, is passionate about infrastructure and data, and is eager to dive into hands-on backend work. Your responsibilities will include managing our cloud operations to ensure platform resilience and cost efficiency, as well as enabling efficient data workflows. You’ll also handle AWS administration and keep our infrastructure secure and compliant, following industry standards like ISO 27001. As a integral part of our team, you will also support our data science workflows by deploying tools like JupyterHub and provisioning secure access to cloud-based storage solutions like S3 and RDS. If you’re motivated to create high-impact solutions that bridge infrastructure and data, uMed is the perfect place for you to shine and make a meaningful difference in healthcare research!

Frequently Asked Questions (FAQs) for Cloud, DevOps, & Data Platform Engineer Role at uMed
What are the main responsibilities of a Cloud, DevOps, & Data Platform Engineer at uMed?

As a Cloud, DevOps, & Data Platform Engineer at uMed, you'll be responsible for managing cloud operations, ensuring high platform resilience, and supporting data workflows. Key duties include deploying containerized applications using AWS Copilot, monitoring infrastructure health, administering cloud databases, and collaborating with data scientists to ensure they have the necessary tools for analysis. You'll engage in both infrastructure management and data platform support, making it a versatile and exciting role.

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What qualifications should a candidate possess for the Cloud, DevOps, & Data Platform Engineer role at uMed?

Candidates for the Cloud, DevOps, & Data Platform Engineer role at uMed should have at least 3 years of experience managing AWS infrastructure, especially with a focus on automation and Infrastructure as Code. Proficiency in tools like Docker, familiarity with CI/CD pipelines, and a solid understanding of AWS components like EC2, RDS, and ECS/Fargate are essential. Additionally, experience with monitoring solutions and compliance frameworks, such as ISO 27001, is valuable for ensuring infrastructure security.

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What kind of environment does uMed provide for its Cloud, DevOps, & Data Platform Engineer?

uMed offers a dynamic startup environment that encourages collaboration and innovation. As a Cloud, DevOps, & Data Platform Engineer, you’ll work alongside a dedicated team passionate about improving health research. The culture is fast-paced, collaborative, and supportive, providing opportunities to grow professionally while making impactful contributions to life science research.

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How does uMed ensure security and compliance for its cloud infrastructure in the Cloud, DevOps, & Data Platform Engineer role?

At uMed, security and compliance are paramount. As a Cloud, DevOps, & Data Platform Engineer, you’ll be responsible for implementing security practices aligned with ISO 27001 standards. This includes managing access controls, regularly auditing security protocols, and monitoring compliance with best practices. Your expertise will help maintain a secure cloud environment, ensuring that patient data and analytics workflows are protected at all times.

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What tools and technologies will I be using as a Cloud, DevOps, & Data Platform Engineer at uMed?

As a Cloud, DevOps, & Data Platform Engineer at uMed, you’ll work with a variety of tools and technologies. Key tools include AWS services such as Copilot for deployment, Docker for containerization, and JupyterHub for data workflows. Familiarity with CI/CD tools like GitHub Actions or GitLab CI/CD is also essential. You’ll leverage various AWS components like EC2, RDS, and S3 while focusing on automation and best practices in a cloud environment.

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Common Interview Questions for Cloud, DevOps, & Data Platform Engineer
What experience do you have with AWS Copilot and containerized applications?

In your response, highlight your direct experience using AWS Copilot for deploying containerized applications. Discuss specific projects you've worked on, the challenges you faced, and how you overcame them. Mention your familiarity with ECS or Fargate, and explain how you optimized application performance through these tools.

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Can you explain how you monitor infrastructure health using AWS tools?

When answering, discuss the AWS monitoring tools you have used, such as CloudWatch and DataDog. Explain your approach to setting up alarms and dashboards to track application performance and system health, and provide examples of how your monitoring has led to significant improvements or quick resolutions of issues.

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How do you ensure security best practices in cloud environments?

Elaborate on your approach to implementing security best practices, such as managing IAM roles and ensuring proper access controls. Talk about your familiarity with frameworks like ISO 27001, and provide examples of how you have successfully maintained compliance in your previous roles.

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Describe your experience with database administration on AWS.

In your response, share your hands-on experience managing AWS databases. Discuss aspects such as user access provisioning, performance monitoring, and backup procedures. Be sure to highlight any specific challenges you faced and what measures you implemented to resolve them.

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What’s your experience with deploying data science tools like JupyterHub?

Discuss any previous experiences you have had in deploying data science environments, specifically JupyterHub. Explain the setup process, challenges faced while provisioning secure access to data, and how you've collaborated with data teams in achieving their goals.

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How do you handle cost optimization for cloud resources?

To answer this question, talk about specific strategies you implement for tracking usage trends. Discuss how you identify underutilized resources and your experience in making recommendations based on data analysis for cost-saving measures within cloud environments.

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What backend development experience do you have, especially with Python and Django?

Highlight your backend development experience, particularly with Python and Django, including any projects where you contributed to new features or bug fixes. Share how you integrated your development work with DevOps practices, such as CI/CD pipelines, to streamline the software delivery process.

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How do you approach disaster recovery planning in cloud environments?

Describe your experience defining disaster recovery procedures. Discuss your methodology in designing and testing recovery strategies to ensure minimal downtime and maximum resilience during unexpected disruptions.

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Can you provide an example of a challenging incident you handled in your previous role?

Be specific about a significant incident, explaining the context, the actions you took to resolve the issue, and what you learned from the experience. Highlight your communication and problem-solving skills in mitigating such incidents effectively.

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What strategies do you use for configuration management and automation?

When responding, mention tools like Ansible that you’ve used for automation and configuration management. Discuss your experience in writing scripts and how these strategies have improved efficiency and consistency in your cloud operations.

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EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
March 25, 2025

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