HPC Cloud Engineer
Batumi, Barcelona, Tbilisi
Full-time
Permanent employee
Position Name
HPC Cloud Engineer
About the profile
We are seeking a Cloud Engineer to join our team, where you will help design, deploy, and operate scalable cloud platforms that support data-intensive and high-performance computing (HPC) workloads.
You will collaborate closely with other engineers, data scientists, and application teams to modernize workflows, enable cloud-native development, and support large-scale analytics and scientific computing.
This role is ideal for engineers who enjoy working across cloud infrastructure, DevOps automation, and data platforms in a collaborative, team-oriented environment.
You will collaborate closely with other engineers, data scientists, and application teams to modernize workflows, enable cloud-native development, and support large-scale analytics and scientific computing.
This role is ideal for engineers who enjoy working across cloud infrastructure, DevOps automation, and data platforms in a collaborative, team-oriented environment.
Responsibilities
Design, build, and operate solutions on Google Cloud Platform (GCP), including
BigQuery, BigTable, and Cloud Run Develop and maintain Infrastructure as Code (IaC) using
-Terraform
- Build and support CI/CD pipelines
- Containerize applications and workflows using Docker and deploy them to cloud-native runtimes
-Develop and support Nextflow pipelines for cloud execution
-Enable and optimize HPC workflows, including cloud migrations and hybrid architectures
-Support Big Data and analytics workloads, including BigQuery performance and cost optimization
-Collaborate with cross-functional teams to translate computational requirements into scalable cloud solutions
-Contribute to best practices around security, reliability, automation, and cost efficiency
BigQuery, BigTable, and Cloud Run Develop and maintain Infrastructure as Code (IaC) using
-Terraform
- Build and support CI/CD pipelines
- Containerize applications and workflows using Docker and deploy them to cloud-native runtimes
-Develop and support Nextflow pipelines for cloud execution
-Enable and optimize HPC workflows, including cloud migrations and hybrid architectures
-Support Big Data and analytics workloads, including BigQuery performance and cost optimization
-Collaborate with cross-functional teams to translate computational requirements into scalable cloud solutions
-Contribute to best practices around security, reliability, automation, and cost efficiency
Requirements - Must have
-English (B2+ or higher) – you’re comfortable using English every day for writing/reading documentation and for live collaboration with teammates around the world (calls, chats, meetings).
-Hands-on experience with Google Cloud Platform, including but not limited to
BigQuery, BigTable, or Cloud Run
-Strong DevOps background, including:
-Containerization (Docker)
-CI/CD pipelines
Terraform
Proficiency in Python and shell scripting
-Familiarity with additional programming languages is a plus
-Experience with Nextflow pipelines and cloud-based workflow orchestration
-Experience with HPC environments, scientific computing, or HPC-to-cloud migrations
-Working knowledge of Big Data tools and concepts, including query optimization
-Hands-on experience with Google Cloud Platform, including but not limited to
BigQuery, BigTable, or Cloud Run
-Strong DevOps background, including:
-Containerization (Docker)
-CI/CD pipelines
Terraform
Proficiency in Python and shell scripting
-Familiarity with additional programming languages is a plus
-Experience with Nextflow pipelines and cloud-based workflow orchestration
-Experience with HPC environments, scientific computing, or HPC-to-cloud migrations
-Working knowledge of Big Data tools and concepts, including query optimization
Requirements - Nice to have
-Experience migrating on-prem or legacy HPC workloads to the cloud
-Knowledge of cloud security, IAM, and networking best practices
-Experience supporting data science, bioinformatics, or research-driven workloads
-Familiarity with cost optimization and FinOps practices
-Experience mentoring teammates or contributing to shared engineering standards
-Knowledge of cloud security, IAM, and networking best practices
-Experience supporting data science, bioinformatics, or research-driven workloads
-Familiarity with cost optimization and FinOps practices
-Experience mentoring teammates or contributing to shared engineering standards
What we offer
Why Join Us
- Work on modern cloud and HPC platforms supporting real-world, data-intensive workloads
- Collaborate with a highly skilled, cross-functional engineering team
- Opportunity to work on complex technical challenges with meaningful impact
What we offer
- Work on modern cloud and HPC platforms supporting real-world, data-intensive workloads
- Collaborate with a highly skilled, cross-functional engineering team
- Opportunity to work on complex technical challenges with meaningful impact
What we offer
- Full medical insurance for employee and his family
- Newly built comfortable office near seashore with kitchen full of snaks|drinks|food
- Different training programs to support your personal and professional development
- Possibilities of career development and the opportunity to shape the company future
- Work in a fast growing, international company
- Friendly atmosphere and supportive Management team
About us
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.
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.