💰 $100,000 - $150,000 🌍 United States of America 📅 07/05/2023
Apply##### Job Description :
Are you an experienced full-stack software developer?
Do you enjoy the challenge of making fast and beautiful data pipelines?
If so, we're looking for someone like you to join our team at APL.
We are seeking a skilled full-stack software developer to help us design and
build systems to enhance our research team's ability to quickly ingest,
search, and analyze data from a diverse range of information sources. Our team
works with multiple government agencies to ensure our military and healthcare
first-responders have ground-breaking AI-enabled tools to enhance their
ability to respond to emerging threats anywhere in the world. We iterate
quickly using a wide variety of tools and frameworks to go from foundational
research to deployed product quickly and effectively.
#####
**As a Full-Stack Software Developer...**
* Your primary responsibility will be developing systems and user interfaces to enable information flow and analysis.
* You will collaborate with a skilled team of engineers and researchers to plan and design robust systems to feed machine learning processes.
* You will use your knowledge of object-oriented languages to implement and test these systems.
* You will build these systems with the goal of making them intuitive and easy-to-use for a wide range of end-users.
##### **Qualifications** :
_**You meet our minimum qualifications for the job if you...**_
* Have a B.S degree in Computer Science, Software Engineering, or Computer Engineering
* Have 5+ years of experience building systems with back-end languages like C++, C#, Java, or Python
* Have experience crafting user interfaces with front-end frameworks like React or Vue.
* Are comfortable working with SQL and/or NoSQL databases
* Have worked with Continuous Integration and Continuous Deployment technologies as part of an organized development team
* Are able to obtain a Secret security clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.
##### **You'll go above and beyond our minimum requirements if you...**
* Have experience implementing data pipelines to feed GPU-based deep learning model training workflows
* Have an M.S. degree in Computer Science, Software Engineering, or Computer Engineering
* Have experience with containerized development and container orchestration technologies
