- Design, build, and optimize automation workflows and integrations.
- Create AI-powered tools to make operations faster and smarter.
- Solve complex problems and connect systems across teams.
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This role offers an opportunity to advance research informatics through computing solutions. Implement DevOps strategies to support clinical, genomic, and research projects. Integrate data systems, optimize performance, and ensure regulatory compliance.
Design, develop, and deploy cloud-based applications and solutions on AWS. Implement serverless applications using AWS Lambda, API Gateway, and Step Functions. Develop and maintain Infrastructure as Code (IaC) using tools like AWS CloudFormation or Terraform.
The Research Informatics DevOps Engineer will focus on supporting research and clinical informatics projects. Core duties involve designing, implementing, and managing strong DevOps strategies to guarantee scientific computing that is both dependable and scalable. The engineer works in close partnership with diverse teams to create reproducible research processes, oversee hybrid computing systems, and ensure smooth integration with the institution's infrastructure.
Play a pivotal role in our mission to design, build, and deliver a cutting-edge foundation for our product teams in a dynamic, cloud-based environment. Collaborate closely with our talented product developers to craft and maintain the optimal cloud infrastructure, finding the balance between performance, resilience, and cost-effectiveness. You'll be at the forefront of emerging technologies overseeing our production environment.
Support Data Engineers and Software developers with automatization and simplification for the users in a hybrid role. Vision for this role should be to “Simplify the user experience”. Tasks include stream deployment and architecture, automating workflows, implementing CI/CD routines, and supporting the development of Client Libraries to integrate streams.
As a Senior Site Reliability Engineer, you will partner with development teams to manage infrastructure, improve CI/CD pipelines, and support operational excellence across Growth and help ensure the reliability, scalability, and performance of the systems that power Kraken’s growth initiatives. You will bring your expertise in infrastructure, monitoring, and automation to ensure Kraken’s services are performant, resilient, and continuously improving.
The DevOps Engineer is a critical role responsible for building, automating, and managing the university's modern data platform. They will partner directly with data scientists and engineers to create a scalable, reliable, and secure environment, enabling the rapid development and deployment of analytics and machine learning models. This role owns CI/CD processes, using GitHub Actions and responsible for establishing and scaling Infrastructure as Code practices.
This role is mission-critical in a platform business operating across multi-currency, multi-entity environments with high-volume product-led revenue, complex asset lifecycle operations, and global financial compliance requirements. The ideal candidate bridges ERP engineering expertise, modern integration patterns, and a product mindset, and can partner seamlessly across Finance, Data, Engineering, and Product teams.