TetraScience

Senior Software Engineer - Observability

United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Scientific Data, AI Cloud, Data Management, Artificial IntelligenceIndustries

Job Description: Software Engineer, Observability

Employment Type: Full-time Location Type: Remote Salary: Not Specified


Position Overview

TetraScience is seeking a Software Engineer to join our data administration and monitoring team. You will be instrumental in building highly scaled observability solutions to collect and analyze telemetry from integrations and platform services. This role requires a self-starter who can make concrete progress in the face of ambiguity or conflicting requirements, designing and developing efficient solutions for data extraction and monitoring. You will address the resiliency, scale, and high availability of these observability tools and the systems they monitor.


Responsibilities

  • Design and develop efficient solutions to extract observability data from data sources and other components.
  • Address the resiliency, scale, and high availability of observability tools and the systems they monitor.
  • Deliver a high-quality product following the agile software development methodology.
  • Partner with the product management team to translate vision and ideas into reality.
  • Be comfortable working with a geographically dispersed team across various time zones.
  • Speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.

Requirements

Experience & Skills

  • 8+ Years of experience designing and developing distributed systems to collect and process large datasets.
  • Proficiency with Node.js, Typescript, and associated technologies, OR Python and associated technologies (both are used).
  • Proficiency in Apache Spark and Databricks.
  • Experience with Spark Structured Streaming and the Delta file format.
  • Experience with container technologies like Docker.
  • Proficiency with cloud infrastructure providers like AWS, Azure, or GCP.
  • Proficiency with Databases and SQL.
  • Experience writing maintainable unit tests, and automated integration tests.
  • Experience with Linux and cloud-based performance tuning.
  • Experience with Superset or other analytics/charting tools is a plus.
  • Good application debugging skills.
  • Strong communication skills, including technical writing.
  • Bachelors or Masters degree in Computer Science or equivalent major.
  • Experience in Life Sciences or scientific data is a big plus!

About TetraScience

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We bring these to life in a growing suite of next-gen lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships.

  • Read More: TetraScience Newsroom
  • Company Culture: Candidates will be asked to review the "Tetra Way" letter authored by the CEO to understand the company's values and ethos. Alignment with this document is considered crucial.

Benefits

  • 100% employer-paid benefits for all eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401K.
  • Flexible working arrangements - Remote work.
  • Company-paid Life Insurance, LTD/STD.
  • A culture of continuous improvement with opportunities for career growth and coaching.
  • Visa sponsorship is not provided for this position.

Additional Details:

  • Department: Engineering
  • Published: 2025-07-14
  • Language: en

Skills

Observability
Telemetry
Data Analysis
Data Extraction
Resiliency
Scalability
High Availability
Agile Software Development
Product Management

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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