Senior Cloud & HPC Engineer at Capgemini Portugal

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

12 Feb, 26

Salary

0.0

Posted On

14 Nov, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Solutions, HPC Workflows, Google Cloud Platform, BigTable, BigQuery, Cloud Run, Nextflow Pipelines, DevOps, Containerization, CI/CD, Infrastructure-as-Code, Terraform, Python, Shell Scripting, Big Data Tools, Java

Industry

IT Services and IT Consulting

Description

About the job you’re considering Capgemini is seeking an experienced Senior Cloud & HPC Engineer to accelerate research computing initiatives in the biotech and pharmaceutical sectors. In this role, you will collaborate with data scientists, software developers, and platform teams to design and deliver scalable, secure, and efficient solutions for research workflows on cloud and High-Performance Computing (HPC) environments. Your role Design and maintain HPC and cloud-based workflows for biotech research. Migrate legacy HPC workflows to Google Cloud Platform (GCP). Develop and optimize CI/CD pipelines using GitHub Actions and Azure DevOps. Implement Infrastructure-as-Code practices with Terraform. Collaborate to improve permission management, data access, and workflow automation. Establish engineering standards and best practices through: Standard containers, Library development, Workflow templates, and CI/CD pipelines Promote reproducibility and maintainability across research codebases. Provide ad-hoc engineering support and troubleshooting for scientists in UK and US East Coast time zones. Your skills & experience 7+ years developing cloud solutions for biotech/biopharma or similar specialized industries. Expertise in Google Cloud Platform (BigTable, BigQuery, Cloud Run). Experience with HPC workflows and HPC-to-cloud migrations. Proficiency in Nextflow pipelines and cloud deployments. Strong DevOps skills: containerization, CI/CD, Infrastructure-as-Code (Terraform). Advanced Python and shell scripting. Familiarity with big data tools (BigQuery optimization a plus). Java experience preferred. Life at Capgemini Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: Flexible work Healthcare including dental, vision, mental health, and well-being programs Financial well-being programs such as 401(k) and Employee Share Ownership Plan Paid time off and paid holidays Paid parental leave Family building benefits like adoption assistance, surrogacy, and cryopreservation Social well-being benefits like subsidized back-up child/elder care and tutoring Mentoring, coaching and learning programs Employee Resource Groups Disaster Relief About Capgemini Engineering World leader in engineering and R&D services, Capgemini Engineering combines its broad industry knowledge and cutting-edge technologies in digital and software to support the convergence of the physical and digital worlds. Coupled with the capabilities of the rest of the Group, it helps clients to accelerate their journey towards Intelligent Industry. Capgemini Engineering has 65,000 engineer and scientist team members in over 30 countries across sectors including Aeronautics, Space, Defense, Naval, Automotive, Rail, Infrastructure & Transportation, Energy, Utilities & Chemicals, Life Sciences, Communications, Semiconductor & Electronics, Industrial & Consumer, Software & Internet. Capgemini Engineering is an integral part of the Capgemini Group, a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2024 global revenues of €22.1 billion. Get the future you want | www.capgemini.com Disclaimer Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact. Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process. Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Responsibilities

Design and maintain HPC and cloud-based workflows for biotech research while migrating legacy HPC workflows to Google Cloud Platform. Collaborate with teams to improve permission management, data access, and workflow automation.