Senior DevOps Engineer, TetraScience
Scientific data and AI cloud company
Job no longer available
Scientific data and AI cloud company
101-200 employees
Job no longer available
101-200 employees
Company mission
To radically improve and extend human life.
Role
Who you are
- 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 certifications
- Strong proficiency in infrastructure-as-code (IaC) tools, preferably CloudFormation
- Proficiency in at least one programming language, such as Python, Java, or Go
- Expertise in automating cloud-native technologies, deploying applications, and provisioning infrastructure
- Experience with cloud-native CI/CD workflows and tools, such as Jenkins, GitLab, 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
What the job involves
- Collaborate with product and engineering teams to drive and enhance the entire lifecycle of our products, from design and development to deployment and operation
- Deploy and troubleshoot our products in clients' AWS environments, ensuring smooth integration and optimal performance
- Develop infrastructure-as-code (IaC) software layers, 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
- 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
Our take
TetraScience connects lab instruments, software, and data applications through a cloud-native platform that’s purpose-built for the bio and pharma industries. As the only software of its kind, it provides scientific data that can be transformed into faster actionable information, accelerating new scientific discoveries.
Due to TetraScience’s machine learning capabilities, it benefits from partnerships and collaborations with other science-focused tech companies. Recently, TetraScience announced a strategic partnership with Google Cloud to speed up drug development and other scientific discoveries. This partnership combines the Tetra Scientific Data and AI Cloud with Google Cloud’s infrastructure and AI technologies, empowering the life science industry to harness Scientific AI for quicker insights and improved research, development, and quality-control processes for advanced therapies.
With substantial funding behind it, TetraScience is a significant asset to the scientific community. The company's commitment to innovation and collaboration ensures it remains at the forefront of accelerating scientific research and discovery, with its partnerships and technological advancements driving continuous growth and impact in the industry.
Steph
Company Specialist
Insights
Company
Funding (last 2 of 6 rounds)
Apr 2021
$80m
SERIES B
May 2020
$11m
SERIES A
Total funding: $117.1m
Company benefits
- Unlimited PTO
- 100% Company Paid Health, Dental & Vision
- Company Paid Life Insurance
- 401k Savings
- Company Paid Disability Insurance
- Equity Program
Company values
- Transparency and context
- Trust and collaboration
- Fearlessness and resilience
- Equality of opportunity
- Alignment with customers and partners
- Commitment to craft
Company HQ
Back Bay, Boston, MA
Articles
Leadership
Siping Wang
(President & CTO)Previously COO and CEO at TetraScience and Software Engineering at Cornell Superconducting RF Lab.
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