Estimated base salary range: $105,000 - $155,000; ...
On-site
Kubernetes technologies on major cloud providers
Web-based applications (rest apis, saml/sso)
Etl pipelines for complex data
As a member of our Enterprise Informatics team, you’ll work directly with top-tier customers, scientists, and developers to deploy, configure, and tune the company's high-end suite of molecular modeling and informatics applications and related systems
Job Summary
As a member of our Enterprise Informatics team, you’ll work directly with top-tier customers, scientists, and developers to deploy, configure, and tune the company's high-end suite of molecular modeling and informatics applications and related systems.
Ensure that our enterprise software performs optimally in the customer cloud environments and implement optimal deployment strategies and solutions for integration with customer internal systems and technologies.
Schrödinger understands it’s people that make a company great. Because of this, we’re prepared to offer a competitive salary, stock options, and a wide range of benefits that include healthcare (with dental and vision), a 401k, pre-tax commuter benefits, a flexible work schedule, and a parental leave program.
Matching Summary
As a member of our Enterprise Informatics team, you’ll work directly with top-tier customers, scientists, and developers to deploy, configure, and tune the company's high-end suite of molecular modeling and informatics applications and related systems.
Salary
Estimated base salary range: $105,000 - $155,000; Not specified; Not specified
Skills & Requirements
Must-have
Kubernetes technologies on major cloud providers
Web-based applications (REST APIs, SAML/SSO)
ETL pipelines for complex data
HPC environments with distributed resource management
Linux environments and scripting (Python, bash)
Customer-facing technical problem-solving
Nice-to-have
Familiarity with Kubernetes on AWS
Understanding of networking concepts (DNS, routing, firewalls)
Experience with HPC systems administration
Interest in life sciences or physics
Key Requirements
Extensive experience with Kubernetes technologies
Significant research data management background in pharma
Robust Linux experience and scripting proficiency
Willingness to travel to customer sites frequently