About this opportunity
Expedition Technology lists this Software/Machine Learning Engineer - R123 opportunity in herndon, Virginia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Overview
Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things. We\'re looking for an engineer who wants to work with and support the latest in computer vision related application development ensuring that security, performance, maintainability, scalability, usability and reliability are considered. We hire people who excel at what they do and empower them to innovate with flexibility and autonomy.
Responsibilities
work with an extremely talented, motivated, supportive and welcoming team in an Agile ecosystem to develop new capabilities using the latest open-source frameworks.
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.
Qualifications
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)
BA/BS or higher in Computer Science, Computer Engineering or closely related field
At least 3 years + 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
Enjoy learning new technologies and creating compelling software
Work with minimum supervision as part of a collaborative, agile team
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Worksite address
herndon, VA, 22070, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.