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.

WHAT YOU WILL CONTRIBUTE TO ALTOS

The Altos Scalable Modeling and Compute team is seeking a software engineer to help develop scalable infrastructure to support the scientific compute and machine learning (ML) needs of Altos scientists. You will be part of the compute team that develops collaborative interactive environments, containerized workflow systems, and version-controlled data storage systems that operate on top of cloud-based, on-premises, and hybrid infrastructure.

MINIMUM QUALIFICATIONS

• BS or MS degree in Computer Science, or equivalent technical experience
• Experience developing useful software using both compiled (e.g. Rust, Golang) and interpreted (e.g. Python, TypeScript) languages
• Familiar with the Linux operating system and bash command-line shell
• Experience with containerization technologies (e.g. docker, LXC)
• Enjoy working closely with a small agile team to craft robust, scalable, functional software systems
• Intellectual curiosity and an interest in scientific research

PREFERRED QUALIFICATIONS

• Experience with scientific workflow systems (e.g. CWL, WDL, Nextflow)
• Experience with batch scheduling systems for HPC/ML environments (e.g. SLURM)
• Experience with Infrastructure-as-Code (IaC) technologies and tools (e.g. terraform, ansible)
• Experience with AWS-based cloud infrastructure

The salary range for Cambridge, UK:

• Software Engineer I: £42,500 - £57,500
• Software Engineer II: £58,650 - £79,350

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

Before submitting your application:

• Please click here to read the Altos Labs EU and UK Applicant Privacy Notice (bit.ly/euukprivacy_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

• Work with a small agile team at the Cambridge Institute of Science (CI) to develop software systems to support the needs of scientific and machine learning (ML) compute users across Altos Labs
• Design, develop, deploy, and operate on-premises and cloud-based software infrastructure for high-throughput computing (HTC), high-performance computing (HPC), and machine learning (ML) applications
• Continuously strive to eliminate toil through automation and improved tooling
• Focus on delivering well-crafted working software that adds value for end users