Platform Engineer, Lab Informatics SWE - California, United States - Altos

Description

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 ( )
• This Privacy Notice is not a contract, express or implied and it does not set terms or conditions of employment.

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