The Role
Build and maintain backend services for the Training Data Storefront (TDS): design and implement features, RESTful APIs and streaming services, optimize performance, use Python, Docker, Kubernetes and AWS, follow SDLC best practices, mentor teammates, and work directly with end users in an Agile environment.
Summary Generated by Built In
Expedition Technology (EXP), is seeking motivated software engineers to join our Solis team, whose mission is to develop, deploy, and maintain the Training Data Storefront (TDS). TDS is a central repository of AI/ML annotations and models serving the entire Department of Defense (DoD) and Intelligence Community (IC). TDS plays a fundamental role in addressing today’s critical defense and intelligence problems.
We are seeking Software Engineers who thrive on backend development. We’re looking for engineers who ensure that security, performance, maintainability, scalability, usability, and reliability are considered when architecting solutions. 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 design new features for TDS, develop new capabilities using the latest open-source frameworks, and work directly with end-users to ensure TDS is solving their mission needs.
- Develop features, bugfixes, and automated workflows for the system using Python 3, Docker, Kubernetes, and AWS services.
- Embrace opportunities for technical leadership and mentor other team members
- Drive technical discussions and be proactive in identifying and resolving issues.
- 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 qualifications we're seeking:
- United States Citizenship
- An active TS/SCI security clearance
- A minimum of 5 years of backend development experience, ideally in AWS Cloud environments
- Fundamental understanding of cloud computing concepts (serverless, scalability, microservices, high availability, and durability)
- Experience with integrating Kubernetes, Docker or other containerized ecosystems
- Relational database design, implementation, configuration, and query experience
- Experience designing, implementing, and maintaining database indexes and/or optimizing database queries
- Familiarity with object-oriented design and languages. Most of our developers write Python and/or JavaScript.
- 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.
- BA/BS or higher in Computer Science, Computer Engineering or closely related field
Extra credit if you have:
- Interest in AI/ML algorithm deployment at scale.
- 5+ years' work experience with AWS services such as Lambda, DynamoDB, RDS, CloudFormation, EC2, ALB, IAM, and SQS (need not have experience with all)
Clearance required: Top Secret/SCI
Skills Required
- United States Citizenship
- Active Top Secret/SCI (TS/SCI) security clearance
- Minimum 5 years of backend development experience
- Experience developing with Python 3
- Experience with Docker and Kubernetes or other containerized ecosystems
- Familiarity with cloud computing concepts (serverless, scalability, microservices, high availability, durability)
- Experience developing and designing RESTful APIs and streaming services
- Relational database design, implementation, configuration, and query experience
- Experience designing, implementing, and maintaining database indexes and/or optimizing database queries
- Familiarity with object-oriented design and languages
- Comfortable working with Linux (Ubuntu) command line and scripting
- Configuration management experience using Git and familiarity with branching strategies
- BA/BS or higher in Computer Science, Computer Engineering, or closely related field
- Experience in AWS cloud environments (Lambda, DynamoDB, RDS, CloudFormation, EC2, ALB, IAM, SQS) — preferred
- Interest/experience in AI/ML algorithm deployment at scale
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