[Remote] DevOps Engineer- Boston at TetraScience

Boston, Massachusetts, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Life Sciences, BiotechnologyIndustries

Skills

Key technologies and capabilities for this role

AWSCloudFormationTerraformPythonMonitoringCI/CDDeploymentTroubleshootingData Management

Questions & Answers

Common questions about this position

Is this DevOps Engineer position remote?

Yes, the position is remote.

What are the key skills required for this DevOps Engineer role?

Key requirements include extensive AWS experience with certification, proficiency in Python (preferred) or similar languages, strong IaC skills preferably with CloudFormation, experience with CI/CD tools like Github Actions or AWS CodeDeploy, and familiarity with Docker, Kubernetes, Linux, networking, and security.

What is the salary for this DevOps Engineer position?

This information is not specified in the job description.

What does TetraScience do, and what is the work environment like?

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution with AI-native scientific data sets and lab data management solutions. The role involves significant collaboration with product, engineering, and client teams in a remote setting.

What experience level is required for this DevOps Engineer role?

At least 5 years of professional experience as a DevOps Engineer or in a similar role is required, along with a Bachelor's degree or equivalent experience, AWS certification, and hands-on AI deployment skills.

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.

The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.

TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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