The Role
Develop backend systems and ML pipelines for computer-vision applications using Python, Docker, Kubernetes and AWS. Build RESTful APIs and streaming services, optimize performance, follow SDLC best practices, and collaborate in an Agile team to deploy containerized deep learning models.
Summary Generated by Built In
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.
As a member of our team, you will:
- 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.
Does this sound like a challenge you’d like to embrace?
Here are some of the skills we are looking for:
- 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
Expedition Technology (EXP) offers a flexible, self-directed benefits package that is designed to fit your individual needs. Benefits include:
- Company-paid, medical, dental and vision insurance
- Up to 45 days of PTO
- Up to 12% 401k contribution - Traditional and Roth options available
- Student loan repayment assistance
- Paid Family Leave
- Tuition Reimbursement - $5250/year available
- Referral bonus program
- Free tickets to sporting events, theater, concerts and more
- Free, onsite fitness center, onsite cafeteria with reduced-cost meals
- A collaborative, creative and supportive culture where you will be encouraged to push boundaries, take risks and enjoy the rewards.
EXP is proud to be an Equal Opportunity Employer that believes a diverse range of talent creates an environment that fosters creativity and innovation. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, genetic information, or protected veteran status.
Skills Required
- United States Citizenship
- Active Top Secret or higher security clearance
- TS/SCI clearance (preferred)
- BA/BS or higher in Computer Science, Computer Engineering or closely related field
- At least 3 years experience with backend development
- Experience with AWS cloud environments
- Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability)
- Experience integrating Kubernetes, Docker or other containerized ecosystems
- Familiarity with object-oriented design and languages (emphasis on Python and JavaScript)
- Experience or interest in designing and implementing ML pipelines to deploy models in containerized environments
- Comfortable working with Linux (Ubuntu) command line and scripting
- Configuration management experience using Git and branching strategies
- Ability to work with minimum supervision in a collaborative, agile team
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The Company
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