[Remote] Senior Software Engineer - Customer Engineering at TetraScience

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Data Management, AIIndustries

Skills

Key technologies and capabilities for this role

Customer EngineeringScientific DataAI CloudData ManagementAI

Questions & Answers

Common questions about this position

Is this position remote?

Yes, this is a remote position.

What experience level is required for this role?

The role requires 7+ years of experience with a proven track record in Performance, Scale, Resiliency, and Customer Support.

What technical skills are required?

Required skills include proven troubleshooting with APIs and integrations at scale in AWS, experience with CloudNative platforms, Micro-services, Docker, SaaS deployments, and proficiency in at least two of Databases, NoSQL, Kafka/Queueing Service, or Elastic Search.

What is the company culture like at TetraScience?

The company emphasizes collaboration, elevating those around you, delivering exceptional customer experiences, ownership of the customer journey, continuous learning, asking questions, and humility in recognizing that collaboration fosters the best outcomes. Candidates are encouraged to review the 'Tetra Way' letter by the CEO to understand their values and ethos, with alignment being paramount.

What makes a strong candidate for this role?

A strong candidate has 7+ years in Performance, Scale, Resiliency, and Customer Support, experience resolving technical issues and escalations, troubleshooting skills with AWS APIs and integrations, CloudNative tech like Docker and microservices, and aligns with TetraScience values of collaboration, customer focus, and continuous learning.

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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