Job Role: HPC Cloud Engineer - Scientific/Engineering Applications

Location: Boston, USA

We are in search of a skilled and motivated High-Performance Computing (HPC) Cloud Engineer with experience in scientific and engineering applica1ons for our dedicated team at Clovertex.

If you are passionate about combining the power of HPC with cloud technologies to advance scientific and engineering capabilities, we want to hear from you.

Responsibilites: - Design and implement HPC solutions on cloud platforms, optimizing for scientific and engineering workloads.

- Manage HPC deployments on cloud environments, ensuring high availability and scalability.

- Develop and implement CI/CD pipelines for scientific and engineering applications.

- Work with MPI and/or CUDA enabled applications or programming.

- Collaborate with other DevOps engineers and developers to ensure seamless integra1on of HPC solutions.

- Monitor and troubleshoot HPC workloads on the cloud.

- Stay up to date with the latest advancements in HPC, cloud technologies, and scien1fic/engineering applications.

- Document and share best prac1ces related to HPC and cloud integration. Job Requirements: - Experience in HPC, particularly with scientific and engineering applica1ons, preferably in an enterprise or research-focused environment.

- Experience with cloud platforms (e.g., AWS, Azure, GCP) and their HPC services.

Knowledge of AWS is a plus.

- Familiarity with DevOps pipelines and adapting scientific /engineering applications to cloud environments is highly desirable.

- Proficiency in scripting languages (e.g., Bash, Python) is preferred.

- Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience).

- Strong problem-solving and analytical skills, with effective communica1on and collaboration abilities

. - Ability to work both independently and collaboratively as part of a team.

Benefits: - Competitive salary and benefits package. - Opportunity to work on cutting-edge technologies in the Biotechnology Industry. - Reimbursement for AWS cer1ica1ons at various levels. - Hybrid work model for a healthy work-life balance. - Health insurance and benefits for employees and dependents