Expedition Technology
Software/Machine Learning Engineer - R123
Herndon, Virginia
No sponsorshipDetected 5 days ago
JavaScriptTypeScriptPythonBackend DevelopmentGitAWSCloud PlatformsDockerKubernetesLinuxRESTMachine LearningDeep LearningComputer VisionCybersecurityExcel
About the role
- Expedition Technology (EXP) is seeking a Software Engineer who thrives on backend development and has a passion for learning new things.
- We hire people who excel at what they do and empower them to innovate with flexibility and autonomy.
- Does this sound like a challenge you'd like to embrace?
Nice to have
- 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
- Comfortable working with Linux (Ubuntu) based operating systems (command line operations, scripting)
- Configuration Management (CM) experience using Git and familiarity with branching strategies
Company info
- 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.
Visa & Work Authorization
- United States Citizenship: Due to clearance and contractual requirements, all candidates must be able to obtain and maintain a US Government issued security clearance
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This listing is sourced directly from Expedition Technology's careers page and normalized into a canonical job model.