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Job ID :
61302BR
Location :
US - Pennsylvania - Pittsburgh
:
Job Description
Sr. Reliability Engineer / (GIS) Advanced Computing Systems

About Thermo Fisher Scientific
Thermo Fisher Scientific Inc. (NYSE: TMO) is the world leader in serving science, with revenues of more than $20 billion and approximately 65,000 employees globally. Our mission is to enable our customers to make the world healthier, cleaner and safer. We help our customers accelerate life sciences research, solve complex analytical challenges, improve patient diagnostics, deliver medicines to market and increase laboratory productivity. Through our premier brands – Thermo Scientific, Applied Biosystems, Invitrogen, Fisher Scientific and Unity Lab Services – we offer an unmatched combination of innovative technologies, purchasing convenience and comprehensive services.

When you’re part of the team at Thermo Fisher Scientific, you’ll do important work, like helping customers in finding cures for cancer, protecting the environment or making sure our food is safe. Your work will have real-world impact, and you’ll be supported in achieving your career goals.

Role: A Sr. Reliability Engineering is responsible for optimizing the Enterprise Global Technical environment at Thermo Fisher Scientific. Responsibilities would consist of root cause analysis and identifying/resolving gaps within the environment while implementing a sound/reliable solution including automation.

Key Responsibilities:
  • Play a key role in Thermo Fisher’s digital transformation. Drive company’s Reliability Engineering initiative and be part of a DevOps culture, working with global platform and development teams.
  • Own continuous delivery framework and focus on automation.
  • Automate different pieces of the environment through Ansible, Chef or Puppet
  • Ensure stability and integrity of high performance and high availability cloud based systems for the organization.
  • Design, develop and test automation workflows.
  • Experience building and managing in a cloud environment, preferably AWS or Azure
  • Key driver suggesting continuous improvement in systems operations through tools and automation
  • Participate in the definition of the roadmap for cloud services in collaboration with the Platform Engineering and architecture teams.
  • Review engineering specifications and drawings, proposing design modifications to improve reliability within cost and other performance requirements
  • Be available for scheduling for 24/7 on-call rotation to respond to and resolve issues
  • Experience with Enterprise Systems management tools
  • Experience maintaining the health of the environment by keeping the systems current with upgrades and patches and by troubleshooting and resolving issues with tools

Minimum Requirements/Qualifications:
  • In depth understanding and experience in AWS and a cloud first/cloud only initiative
  • Must have a minimum of 5-7+ years of Linux experience
  • Must have a minimum of 3-5 years of experience in Cloud Solutions Delivery and Cloud architecture, especially public cloud platforms such as AWS, Azure, GCP. Strong preference for AWS experience
  • Scripting languages: Python and overall Linux shell scripting skills
  • Experience in building highly available platforms running in production handling no downtime rollouts
  • Bachelor’s degree in Information Systems, Computer Science or other technical field is desired
    • 5 years of additional direct and applicable professional experience in the IT field may be substituted
  • Strong interpersonal and excellent documentation skills are a must
  • Takes ownership of work assignments and manages them to completion
  • Ability to explain and champion technical concepts to a broad technical audience
  • Excellent customer service and communication skills required
  • Ability to present technical problems and solutions to management in a manner that can consumed and translated into appropriate program improvement requests
  • Hands-on experience in installing, configuring and troubleshooting UNIX /Linux based environments.
  • Provide organizational support for relationship development to foster teamwork, build relationships, and promote collaboration to cultivate and strengthen a network for the exchange of ideas
  • Demonstrated proficiency in physical and virtual server hardware maintenance
  • Experience in AWS Artificial Intelligence/Machine Learning (AI/ML) implementation/configuration/analysis is a bonus.


At Thermo Fisher Scientific, each one of our 50,000 extraordinary minds has a unique story to tell. Join us and contribute to our singular mission—enabling our customers to make the world healthier, cleaner and safer. Apply today http://jobs.thermofisher.com

Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
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