DevOps Engineer at TetraScience

Experience: Senior-level

Education: Bachelors

Job-type: Full Time, Remote

Location: Boston, United States

Field: DevOps, Tech

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrialising AI-native scientific data sets, which we bring to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

What You Will Do

  • Collaborate with product and engineering teams to drive and enhance the entire lifecycle of our products, from design and development to deployment and operation.
  • Work closely with clients to deploy and troubleshoot our products in clients’ AWS environments ensuring smooth integration and optimal performance.
  • Develop CloudFormation templates, Terraform modules, Python scripts, deployment frameworks, monitors, and self-healing tools to automate processes and improve efficiency.
  • Assist the software engineering team in building accurate monitoring and metrics systems for applications before they go into production.
  • Manage the internal AWS environments and network, ensuring stability, security, and scalability while keeping costs in check
  • Participate in meetings with potential clients, working alongside solution architects to address their questions and concerns regarding integration of our products into their network and AWS accounts.
  • Maintain up-to-date documentation on deployments, processes, and standard operating procedures.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field; or equivalent practical experience.
  • At least 5 years of professional experience as a DevOps Engineer or in a similar role.
  • Extensive experience with Amazon Web Services (AWS), including AWS certification.
  • Proficiency in at least one programming language, such as Python (preferred), Java, or Go.
  • Strong proficiency in infrastructure-as-code (IaC) tools, preferably CloudFormation.
  • Good understanding and practical experience using and deploying AI (ML, LLMs)
  • Expertise in automating cloud-native technologies, deploying applications, and provisioning infrastructure.
  • Experience with cloud-native CI/CD workflows and tools, such as GitHub Actions or AWS CodeDeploy
  • Familiarity with microservices architecture, containerization, and orchestration tools like Docker and Kubernetes.
  • Solid understanding of Linux basics, networking fundamentals, and security best practices.
  • Excellent communication skills, both verbal and written.

Method of Application

Meet the Qualifications? Apply now at TetraScience on apply.workable.com

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