Staff Software Engineer
Job Description
To restore cell health and resilience through cellular rejuvenation programming to reverse disease, injury, and the disabilities that can occur throughout life.
For more information, see our website at altoslabs.com.
Diversity at AltosWe 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.
The Altos Labs Data & ML Platform group is building a high-performance, scalable, flexible data platform for managing scientific data across many different modalities. We will enable and accelerate the Altos science mission by making this data easily findable, interpretable, and accessible for machine learning and exploratory data analysis.
Responsibilities
- Motivated to build, deploy, and manage systems to organize diverse kinds of scientific data in an integrated, usable framework
- Interested in understanding user needs across a wide range of scientific disciplines, and communicating with users to build systems that they can use productively
- Demonstrated software engineering skills in developing reliable, scalable, performant distributed data systems in a cloud environment
- Experience with all facets of large-scale data systems such as metadata management, storage tiering, lineage tracing, versioning, partitioning, data transformation pipelines, MLOps, etc.
- Capable of proposing, building, and owning complex system designs and integrating them into a coherent whole
- Champions maintainable, scalable, and reusable software engineering techniques and acts as an ambassador to promulgate tools and practices to the research community.
- Mentor software engineers and computational scientists, evangelizing best practices around development tools, CI/CD, and other methods to improve code quality and efficiency.
Required Qualifications
- M.S. or Ph.D. in Computer Science, or related quantitative field, or equivalent technical experience
- 3+ years software development experience
- Experience with one or more programming languages commonly used for large-scale data management, such as Python, C, C++, Scala, Java, etc., and familiarity with package management systems, such as Conda, PyPi, etc.
- Experience applying software engineering practices to data management in a scientific environment, or another environment with similar characteristics
- Strong knowledge and understanding of data management systems and software development frameworks, including experience with cloud computing and/or distributed/parallel computing.
- Demonstrated track record of hands-on technical leadership, including owning and delegating technical design decisions.
- Excited to design, implement, and evangelize technical and cultural standards across scientific and technical functions.
The salary for this role is: $170,850- $231,150.
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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/
Date Posted
03/01/2023
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