Senior Developer II at Schrödinger

New York, New York, United States

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$174,600 – $201,300Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, SoftwareIndustries

Requirements

Master’s (or foreign equivalent) in Computer Science or a closely related field plus 3 years of experience (or a Bachelor’s degree in the same field plus 5 years of experience) as a Software Developer/Engineer, Computer Programmer or closely related occupation
At least 3 years of experience with relational or non-relational databases
At least 3 years of experience with high performance scalable/redundant/high volume systems
At least 3 years of experience with microservices architecture
At least 2 years of experience with Kafka
At least 2 years of experience with Kafka Connect + Debezium
At least 1 year of experience with Spring Cloud Stream
At least 1 year of experience with Strimzi Kafka operator
At least 1 year of experience with Locust
At least 1 year of experience with Jenkins
At least 1 year of experience with Kubernetes running on a cloud platform (e.g. Google Kubernetes Engine, Amazon Elastic Kubernetes Service)
At least 1 year of experience with Tilt
At least 1 year of experience with Helm
At least 1 year of experience with testing data generation at scale
At least 1 year of experience with data visualization/plotting software (Gnuplot, matplotlib)
May work from home but must be able to report to New York, New York office at least 2 days per week

Responsibilities

Collaborate closely within a cross-functional agile team composed of product designers, developers, and testers to deliver features and functionality that meet business and product goals
Design, build, and test high performance, distributed components in problem areas including but not limited to data aggregation/transformation/reporting and large-scale computations for a collaborative multi-user application
Act as a core maintainer of Schrödinger’s Kafka data streaming pipeline, ensuring that data streaming remains stable and performant across a wide range of environments
Take ownership of large areas of Schrödinger’s data processing platform, working independently to build major new features
Research and implement new technologies to solve novel problems
Take a lead role in improving Schrödinger’s testing framework, including designing and building new performance tests, improving regression testing, and visualizing/monitoring results

Skills

Kafka

Kafka Connect

Debezium

Spring Cloud Stream

Strimzi Kafka operator

Locust

Jenkins

Kubernetes

Google Kubernetes Engine

Amazon Elastic Kubernetes Service

Tilt

Helm

relational databases

non-relational databases

microservices architecture

Gnuplot

matplotlib

Schrödinger

Computational platform for biopharmaceutical research

About Schrödinger

Schrödinger provides a computational platform that aids in the research efforts of biopharmaceutical companies, academic institutions, and government laboratories around the world. Their platform offers advanced computational tools that help in drug discovery and development across various therapeutic areas. Schrödinger's products work by using sophisticated algorithms and simulations to predict how different compounds will interact, which can significantly speed up the research process. Unlike many competitors, Schrödinger not only licenses its software but also engages in collaborative research and drug discovery programs, allowing for a more integrated approach to scientific research. The company's goal is to enhance scientific research and development through its platform, ultimately leading to the discovery of new drugs and therapies.

New York City, New YorkHeadquarters

1990Year Founded

$362.7MTotal Funding

IPOCompany Stage

Government & Public Sector, Enterprise Software, BiotechnologyIndustries

501-1,000Employees

Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Company Match

401(k) Retirement Plan

Flexible Work Hours

Remote Work Options

Paid Vacation

Parental Leave

Risks

Recursion and Exscientia merger creates strong AI-driven drug discovery competitor.

Avicenna's independent expansion could lead to competitive tensions with Schrödinger.

High R&D costs may strain resources despite Gates Foundation's $10M grant.

Differentiation

Schrödinger's platform supports diverse clients, including biopharma, academia, and government labs.

The company excels in rapid drug discovery, exemplified by SGR-1505's swift development.

Schrödinger's collaboration with Avicenna enhances medicinal chemistry through machine learning.

Upsides

$19.5M Gates Foundation grant boosts platform for neglected diseases, expanding market reach.

Predictive toxicology tools initiative could lead to safer, efficient drug development.

SGR-1505 discovery showcases ability to reduce drug discovery timelines significantly.

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