Software/Machine Learning Engineer - R123

Expedition Technology; Herndon (VA); On-site; USD 120,000 - 170,000; Full time

Job summary

Expedition Technology seeks a Software Engineer focused on backend development and cloud-native services in the United States. You will join a team that emphasizes security, performance, maintainability, scalability and reliability while innovating with autonomy.

Responsibilities include building features, automated workflows, and bug fixes with Python, Docker, Kubernetes and AWS; collaborating on ML pipelines; and implementing RESTful APIs and streaming services.

Qualifications

• 3+ years of backend development experience, preferably in AWS cloud.
• BA/BS or higher in CS/CE or closely related field.
• Understanding of cloud concepts: serverless, microservices, scalability, high availability.
• Experience with Kubernetes, Docker, or container ecosystems.
• Proficiency with Python and JavaScript.
• Linux (Ubuntu) experience and scripting.
• Familiarity with Git and branching strategies.
• Interest in ML pipelines and containerized deployment.
• Ability to obtain and maintain a US Government issued security clearance.

Responsibilities

• Collaborate with a team in an Agile environment to develop new capabilities using open-source frameworks.
• Develop features, automated workflows and bug fixes using Python 3, Docker, Kubernetes and AWS services.
• Collaborate on 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.

Skills

US Citizenship

Security clearance

Team collaboration

Learning mindset

Linux command line

Education

BS in CS/CE or related

Tools

Docker

Kubernetes

AWS

Git

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