Cloud Engineer

Responsibilities

• Implement and deploy CI/CD based solutions
• Support day-to-day AWS cloud infrastructure operations across development and production environments
• Assist with provisioning, updating, and maintaining AWS resources
• Troubleshoot EC2, IAM, VPC networking, and cloud storage issues
• Assist with patching, upgrades, and general platform maintenance
• Troubleshoot and/or perform Linux/UNIX Systems Administration tasks as needed – both on-premises and cloud
• Implement and maintain infrastructure – both on-premises and cloud
• Support Ansible and Jenkins pipelines used for infrastructure and platform automation
• Write and maintain scripts using Bash, Python, YAML and other
• Provide support for HPC related tasks
• Perform testing, validation, and operational support during migration phases
• Use Abb Vie values to govern decisions, actions and behaviors. These values guide how we get our work done:
  Patients, Affordability, Accountability & Service Commitment, Decisiveness, Innovation & Thoughtful Risk; and how we treat each other:
  Diversity & Inclusion, Integrity & Respect, Learning, Continuous Improvement & Personal Growth, Teamwork & Collaboration

• Bachelors Degree with 4 years experience;
  Masters Degree with 3 years of experience in Computer Science, IT or related field
• Experience implementing and managing orchestration and automation tools or platforms (Jenkins, Git Flow)
• Experience with containerization tools (Docker, Kubernetes)
• Strong scripting experience (Bash, Python, YAML)
• Strong hands-on experience with AWS cloud services
• Experience implementing and maintaining Cloud Formation stacks
• Experience implementing and deploying Infrastructure as Code (Ansible, JIRA, Cloud Formation, Terraform)

• Exposure to HPC environments, Slurm, or AWS Parallel Cluster
• Experience with high performance and cloud storage solutions, including WEKA, Amazon EBS, EFS, and FSx Lustre
• Experience supporting research, scientific, or data-intensive computing workloads
• Experience working in a Data Science, Life Sciences or Pharmaceutical Industry
• Experience working in regulated or enterprise IT environments
• Ability to work independently, multitask and prioritize work requirements with minimal supervision
• Comfortable working in a dynamic environment and developing flexible solutions to meet evolving requirements
• Strong troubleshooting and problem-solving skills
• Excellent written and verbal communication skills: demonstrated ability to communicate effectively with scientists, developers, application analysts, managers and IT
• Good presentation, training and documentation skills are essential
• Ability to successfully collaborate with others of different skill sets, backgrounds and levels within and external to the organization