About the profile

Cloud Engineers will implement scoped solutions and act as an escalation point for junior team members; they will drive the hands-on implementation and deployment of solutions and troubleshooting efforts.

Responsibilities

Communicate and possibility present different solution and technology options, while articulating short and long-term consequences, impact and outcomes on business.
Design, implement, and deploy solutions.
Guide clients on establishing and adhering to industry best practices.
Review and audit existing cloud solutions, designs and system architectures while creating architecture documentation & presentations.
Serve as an escalation point for questions and issues of support team members.
Troubleshoot escalated operational issues as they arise on supported platforms.
Work with Project Manager to ensure timelines are met and deliverables are in line with project scope.
Ensure that all systems are compliant with company security standards and applicable regulatory requirements.
Remain current on Cloud services, offerings, and best practices.
Deploy and configure scientific applications, both COTS and Opensource.
Provide expert level Linux engineering and support as needed.

Requirements - Must have

Bachelor's Degree in Computer Science or equivalent work experience.
6+ years of professional experience in Cloud Infrastructure Deployment.
5+ years of Linux engineering experience (Ubuntu, RHEL, CentOS, Rocky).
2+ years of Application administration.
Expert within solutions developed in large cloud computing infrastructures such as Amazon Web Services, Azure Cloud, or Google Cloud.
AWS Solutions Architect Professional Certification.
Experience creating proof of concepts / demonstrations from scratch.
Experience communicating across technical and non-technical audiences and at C-level, including training, workshops, publications, etc.
Expert troubleshooting & problems analysis skills.
Experience deploying and managing clusters via AWS Parallel Cluster.
Experience supporting and managing Slurm clusters or other DRM solutions.
Experience with configuration management tools, such as Ansible, Chef, Terraform, and CFN.
Excellent communication skills, including preparation of written documentation for IT colleagues and data science end users.
Experience leading project teams.

Requirements - Nice to have

Has good knowledge of deploying or supporting GxP systems.
Experience supporting and managing Slurm clusters or other DRM solutions.
Python, R, or other related data science programming language.
Experience using Shell scripting, automation tools, and configuration management.
Git, BitBucket, or other version control tools.

Seniority Level

Senior.

Languages

Strong English proficiency (B2+/C1 level).

What we offer

Hybrid work model.
The role requires working in EST business hours (9:00 a.m. - 5:00 p.m. EST).
25 holiday days per year.
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.