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Platform Engineer, Lab Informatics

Altos Labs

Altos Labs

Software Engineering
San Francisco, CA, USA
Posted on Saturday, April 20, 2024

Our Mission

Our mission is to restore cell health and resilience through cell rejuvenation to reverse disease, injury, and the disabilities that can occur throughout life.

For more information, see our website at altoslabs.com.

Our Value

Our Single Altos Value: Everyone Owns Achieving Our Inspiring Mission.

Diversity at Altos

We believe that diverse perspectives are foundational to scientific innovation and inquiry.

We are building a company where exceptional scientists and industry leaders from around the world work side by side to advance a shared mission.

Our intentional focus is on Belonging, so that all employees know that they are valued for their unique perspectives.

At Altos, we are all accountable for sustaining a diverse and inclusive environment.

What You Will Contribute To Altos

The Altos Science Computing and Data Team is seeking an experienced Data and Platform software engineer to scale our scientific data and metadata management capabilities. You will be part of the team responsible for lab information management and scientific computing systems used by Altos scientists to conduct cutting-edge research. Additionally, you will work closely with software engineers, researchers, and IT teams to build and support systems that are scalable, reliable, and secure.

Responsibilities

  • Design and develop scalable data pipelines for transforming and migrating data from diverse, multi-modal sources to target systems, ensuring data quality, accuracy, and consistency throughout the process
  • Develop and maintain data transformation and migration workflows, adhering to best practices and industry standards
  • Work within an AWS ecosystem to enable automated data flow between on-prem, hybrid and cloud based storage environments for internally generated and externally ingested large scale datasets, e.g. genomics and microscopy
  • Implement monitoring and alerting dashboards and services to track data movement and storage utilization
  • Drive the design, development, and maintenance of the Altos scientific compute infrastructure spanning the cloud, on-premises, and hybrid deployments
  • Optimize system performance and utilization for scientific applications and underlying infrastructure
  • Continuously improve and maintain documentation for our development and deployment processes
  • Improve reliability of systems via automation, testing, and continuous integration and delivery

Who You Are

Minimum Qualifications

  • BS or MS. degree in Computer Science, or related quantitative field, or equivalent technical experience.
  • 2-4 years of hands on technical experience with Cloud Infrastructure, DevSecOps, or Data Engineering, preferably in a biotechnology-focused or other life sciences research setting
  • Experience with containerization technologies (e.g. Docker, Kubernetes)
  • Experience building tools in Python, Ruby, Bash, or other technologies typically used for system orchestration
  • Familiarity with monitoring and observability tools
  • Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions
  • Enjoys building scalable, secure, and robust systems

Preferred Qualifications

  • Familiarity with data integration tools and orchestration frameworks, such as Flyte, Apache Airflow, Apache Spark, and/or Palantir Foundry
  • Experience architecting and operating cloud solutions on AWS, and their data services (e.g., AWS Lambda or Glue)
  • Experience with scientific data management and documentation tools, including electronic lab notebook (ELN) systems (Benchling) and/or laboratory information management systems (LIMS)
  • Familiarity with scientific processes and terminology such as those involved in genomics, light microscopy, or mass spec
  • Experience with infrastructure as code (IaC) principles and technologies, such as Terraform, Ansible or CDK
  • Familiarity working with semantic data frameworks, including ontology management systems and knowledge graphs
  • Knowledge of data governance, data security, and data privacy practices

The salary range for Redwood City:

  • Software Engineer I: $130,050 - $175,950
  • Software Engineer II: $147,050 - $198,950

Exact compensation may vary based on skills, experience, and location.

For UK applicants, before submitting your application:

- Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/eu_uk_privacy_notice)
- This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

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What We Want You To Know

We are a culture of collaboration and scientific freedom, and we believe in the values of diversity, inclusion and belonging to inspire innovation.

Altos Labs provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Altos currently requires all employees to be fully vaccinated against COVID-19, subject to legally required exemptions (e.g., due to a medical condition or sincerely-held religious belief).

Thank you for your interest in Altos Labs where we strive for a culture of scientific freedom, learning, and belonging.

Note: Altos Labs will not ask you to download a messaging app for an interview or outlay your own money to get started as an employee. If this sounds like your interaction with people claiming to be with Altos, it is not legitimate and has nothing to do with Altos. Learn more about a common job scam at https://www.linkedin.com/pulse/how-spot-avoid-online-job-scams-biron-clark/