Software/Machine Learning Engineer - R123

About the role

We are seeking a Software Engineer who excels in backend development and is passionate about learning new technologies. You will work with a talented, motivated, supportive, and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks.

Responsibilities

• Develop features, automated workflows, and bug fixes for the system using Python 3, Docker, Kubernetes, and AWS services.
• Collaborate with a team to develop deep learning architectures and pipelines for novel applications.
• Contribute to SDLC and coding best practices.
• Develop and design RESTful APIs and streaming services.
• Identify and resolve performance bottlenecks.

Requirements

• United States Citizenship: Due to clearance and contractual requirements, all candidates must be able to obtain and maintain a US Government issued security clearance.
• Active Top Secret or higher security clearance (TS/SCI preferred).
• Bachelor's degree (BA/BS) or higher in Computer Science, Computer Engineering, or a closely related field.
• At least 3 years of experience with backend development, ideally in AWS Cloud environments.
• Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability, and durability).
• Some experience with integrating Kubernetes, Docker, or other containerized ecosystems.
• Familiarity with object-oriented design and languages – emphasis on Python and JavaScript.
• Some experience or interest in designing and implementing machine learning pipelines to deploy machine learning models in a containerized environment.
• Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting).
• Configuration Management (CM) experience using Git and familiarity with branching strategies.

Qualifications

• Enjoy learning new technologies and creating compelling software.
• Work with minimum supervision as part of a collaborative, agile team.