DevOps / Cloud Engineer
hace 2 semanas
About MIGx MIGx is a global consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. We have been managing challenges and solving problems for our clients in the areas of compliance, business processes and many others. MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance. Project Description You will act as a center of excellence, defining standards and best practices for research computing, developing standard tooling, and migrating existing codebases to standard models. You will work together with research scientists, providing them with scalable, secure, and efficient solutions to hard and onerous software engineering problems, allowing the scientists to concentrate on science, rather than things like service integration, containerization, database optimization, and cloud ops. You will partner with data and analytics platform team, ever improving the capabilities of the infrastructure to support research use cases. This is a hands-on role for people who enjoy untangling and re-engineering complex code bases, making hard integrations easy, and making other people's lives easier. Responsibilities Collaborate with scientists and informaticians on the development and upkeep of big data and high-performance workflows, especially using Nextflow and BigTable. Develop and optimize CI/CD pipelines in GitHub and Azure DevOps. Develop and maintain cloud-native solutions, principally on Google Cloud Platform (GCP), with a minor in Azure. Write clean, maintainable Python code and shell scripts to automate infrastructure tasks. Troubleshoot and resolve issues across the stack, from cloud services to local environments. Develop, promulgate, and teach good infrastructure-as-code practices and DevOps standards. Work in concert with infrastructure engineers to improve platform capabilities in the interests of research. Adapt to new scientific domains and new technologies, producing best practices as you go. Requirements - Must have Deep experience in GCP preferred especially with BigQuery and Cloudrun; Azure or AWS experience as a plus, especially in automation. Broad DevOps experience, including containerization, CI/CD (GitHub actions preferred, Azure DevOps nice to have). Deep Python and shell scripting experience. Strong Java experience highly desired. 3+ years of Terraform experience. Deep experience with HPC workflows; familiarity with HPC to cloud migrations highly desired. GCP Big Query optimization a plus. Nextflow pipeline development and deployment experience highly desired. Requirements - Nice to have Experience in Life Science Languages English: B2+ Local language What we offer Hybrid work model and flexible working schedule that would suit night owls and early birds Excellent compensation package Attractive social benefits package 25 holiday days per year Free English classes Possibilities of career development and the opportunity to shape the company's future An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged Different training programs to support your personal and professional development Work in a fast growing, international company Friendly atmosphere and supportive Management team
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