DataOps Engineer

Remote

Applications have closed

PostEra

PostEra is building a modern 21st century biopharma. We’re using our advances in machine learning to close the Design-Make-Test cycle of Medicinal Chemistry and bring more cures to patients.

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PostEra is building a modern biopharma, using machine learning to accelerate medicinal chemistry, to develop cures for diseases, faster. We've raised $26M from top investors, secured a $68M NIH partnership to prevent pandemics, and established a $260M partnership with Pfizer. We also launched and help lead the world's largest open-science initiative to find a COVID antiviral; COVID Moonshot.


What you would do

  • Work collaboratively across teams to help implement and maintain data infrastructure and pipelines, ensuring data quality and availability while collaborating with machine learning researchers, software engineers, chemists, and other stakeholders to ensure our platform is world class.
  • Work with the team to make high-level infrastructure architecture decisions and work closely with stakeholders to implement those decisions.
  • We are looking for someone who enjoys getting into the weeds and working collaboratively

Experience and skills you should have

  • Several years deploying data-related/data-driven services
  • System Architecture Design (in the cloud)
  • Data Pipeline Tools (e.g. Kubeflow, Airflow, Prefect) - Automation and scheduling
  • Container Orchestration - Help to manage clusters responsible for data pipelines and model training; guide best practices for deploying services; optimize image size and compute usage
  • Worked closely with an ML application team to deliver products - Familiarity with inference patterns (synchronous, streaming, batch); artifact management: moving models and data between environments, managing model promotion, loading models at runtime, etc.
  • Infrastructure as Code - Terraform
  • Testing Pipelines - Patterns for integration testing in CI

Bonus experience and skills

  • Working with sensitive or proprietary data. For example, this might look like working in an environment where SoC2 or HIPAA compliance are important drivers of security decisions.
  • ML application development
  • Our technology stack: AWS, Terraform, SQL, Django/Python, GitHub Actions, and Kubeflow
  • Experience at a startup company or small team, involved in building new tools and infrastructure
Salary: 140k - 180k
Equity: 0.05% - 0.10%
Visa Sponsorship: Not at this time
Hiring Manager: Tony Schroeder

Visit us at postera.ai

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow Architecture AWS Chemistry DataOps Data pipelines Data quality Django GitHub Kubeflow Machine Learning Model training Pipelines Python Security SQL Streaming Terraform Testing

Perks/benefits: Equity Salary bonus Startup environment

Regions: Remote/Anywhere North America
Country: United States
Job stats:  30  7  0
Category: Engineering Jobs

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