How to Apply
If you’re interested in applying, email your resume to firstname.lastname@example.org
At QLS Advisors, we apply machine learning techniques in innovative ways to increase the efficiency of drug development and support biomedical innovation. Our work focuses on the intersection of clinical trials, biomedical portfolio optimization, and the design of new funding vehicles and business models. We’re looking for an experienced DevOps engineer to help solve some of these challenging problems and lay the foundation of our growing software platform. In this position, you will manage our code and database infrastructure and processes.
-Design and maintain the machine learning and data infrastructure that powers QLS analytics.
-Implement build, deployment, and configuration management systems.
-Work directly with software developers to develop the test systems architecture and ensure system integrity.
-Monitor metrics and introduce improvements with respect to functionality, performance, automation, reliability, and scalability.
-Provide technical guidance and drive adoption of best practices in code health, testing, and maintainability.
-Document and design various processes, and update existing processes.
You will have the opportunity to work in a company culture that is collegial and relaxed, but focused and hard-working. Since we are a startup, there are many impactful projects to work on, and we expect every QLS employee to significantly contribute to our mission to accelerate biomedical innovation.
-A bachelor’s degree in computer science, software engineering, or a related field.
-DevOps or related software engineering work experience. (Prior MLOps experience a bonus.)
-Good interpersonal and communication skills.
-Ability to multitask, prioritize, and manage time efficiently.
-Intellectual curiosity, self-motivation, and the ability to adapt and learn quickly in a fast-moving environment.
-Experience with Linux infrastructures, Docker, relational databases and ORM frameworks (such as SQLAlchemy), CI/CD tools, Git workflows, parallel computing, and a deep knowledge of Python.
-Experience working with Azure, AWS, GCP, or similar cloud computing platform.
-Up-to-date knowledge of the latest industry trends.
For the right candidate, we’ll offer a competitive salary and target bonus. Your compensation package will be rounded out by a strong benefits package:
-Flexible work hours with work-from-home options.
-Three weeks of paid leave per year, and an additional nine days of sick time, plus extended holidays and team-approved leave.
-Healthcare plans with voluntary add-ons available for dependent care, vision, dental, life, and accident coverage.
-Commuter benefit available for public transit.
-Snacks and drinks in the office plus professional development seminars and fun social events.
But most importantly, you’ll be doing impactful work that will benefit patients with a group of people you’ll genuinely enjoy spending the day with.
QLS Advisors is an equal opportunity employer, dedicated to creating a workplace that is free of harassment and discrimination. We base our employment decisions on business needs, job requirements, and qualifications. We do not discriminate based on race, gender, religion, health, personal beliefs, age, family or parental status, or any other status. We do not tolerate any kind of discrimination or bias. QLS Advisors does not accept unsolicited submissions from third parties.