Location
Springfield, MO | United States
Job description
We are looking for a Software Engineer with strong fullstack experience to own the whole project. This position has the autonomy and freedom to set technical direction engage with the customer and build the roadmap for the product. In this position the Software Engineer also works with interesting datasets that have direct mission impact. This position also has direct engagement with endusers.
Roles & Responsibilities:
- Consult with stakeholders to understand their business needs and identify potential process improvements
- Write welldocumented and maintainable code using good software engineering practices
- Deliver new features to the customer upon request (frontend and/or backend features)
- Integrate new algorithms into larger software modules performing integration tests and other CI/CD functions before deployment
- Manage Docker containers as part of deployments to test and production environments
- Prioritize development tasks and issues using agile methodology and the Atlassian Tool Suite (JIRA Confluence Bitbucket)
Requirements
Required Qualifications:
- Active Top Security Clearance
- Proficiency in one or more of the following languages: Python TypeScript JavaScript and SQL
- Experience developing REST APIs with web frameworks based in Node.js or Python (e.g. Fastify Aio or similar)
- Experience working with relational databases and writing/maintaining SQL scripts for datadriven web applications.
- Ability to manage Docker containers or use similar containerization technologies to ensure reliable and secure deployments.
- Ability to test your code using a combination of unit and integration tests.
- Experience maintaining and upgrading servers as needed.
- Excellent verbal and written communication skills to consult with customers understand their business needs and identify potential process improvements.
- Maximum 36 hours on site per week with potential for hybrid work some weeks.
Desired:
- Active TS / SCI clearance with CIPoly
- Experience with Oracle database services
- Experience writing backend REST API code using Fastify (Node.js) and Aio (Python) web frameworks
- Experience in frontend UI development using JavaScript/TypeScript or a frontend framework (e.g. React Angular Vue)
- Experience working with CI/CD pipelines using Gitlab Jenkins or similar tools
- Experience with Kubernetes or similar container orchestration tools
- Experience working with NumPy Pandas scikitlearn or similar data science/analytics libraries
- Experience retraining machine learning models on new data and validating updated metrics
- Annually review and calibrate predictive models and pipelines
- Explore and analyze new/unstructured data sources and deliver insights to customers
Required Qualifications: Active Top Security Clearance Proficiency in one or more of the following languages: Python, TypeScript, JavaScript, and SQL Experience developing REST APIs with web frameworks based in Node.js or Python (e.g. Fastify, Aio or similar) Experience working with relational databases and writing/maintaining SQL scripts for data-driven web applications. Ability to manage Docker containers or use similar containerization technologies to ensure reliable and secure deployments. Ability to test your code using a combination of unit and integration tests. Experience maintaining and upgrading servers as needed. Excellent verbal and written communication skills to consult with customers, understand their business needs and identify potential process improvements. Maximum 36 hours on site per week with potential for hybrid work some weeks. Desired: Active TS / SCI clearance with CI-Poly Experience with Oracle database services Experience writing backend REST API code using Fastify (Node.js) and Aio (Python) web frameworks Experience in frontend UI development using JavaScript/TypeScript, or a frontend framework (e.g., React, Angular, Vue) Experience working with CI/CD pipelines using Gitlab, Jenkins, or similar tools Experience with Kubernetes, or similar container orchestration tools Experience working with NumPy, Pandas, sci-kit-learn, or similar data science/analytics libraries Experience retraining machine learning models on new data and validating updated metrics Annually review and calibrate predictive models and pipelines Explore and analyze new/unstructured data sources and deliver insights to customers
Job tags
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