Software Engineer - Springfield, United States - Real Careers

Real Careers Springfield, United States

6 days ago

Description

About the job Software Engineer (DS, DE, DevOps aspects)

Software Engineer (DS, DE, DevOps aspects)

Springfield, VA

Must be a US Citizen or Green Card holder.

Security Clearance: Active Top Security Clearance - Must have - NO EXCEPTIONS

Description:

We are looking for a Software Engineer with strong full-stack 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 end-users.

Come join our team

Roles & Responsibilities:

Consult with stakeholders to understand their business needs and identify potential process improvements
Write well-documented 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)

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 or Python (e.g. Fastify, Aiohttp, 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 ) and Aiohttp (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, scikit-learn, or similar data science / analytics libraries
Experience retraining machine learning models on new data and validate updated metrics
Annually review and calibrate predictive models and pipelines
Explore and analyze new/unstructured data sources and deliver insights to customers

Required Knowledge, Skills, and Abilities: (Hiring Companies ATS Questions):

1. Do you have an Active Top Security Clearance - Must have - NO EXCEPTIONS?

2. Do you have strong command in at least one of the following languages: Python, TypeScript, JavaScript, and SQL.

3. Do you have experience in developing REST APIs using or Python-based frameworks (e.g., Fastify, Aiohttp, etc.).

4. Do you have the ability to manage Docker containers or similar containerization technologies for reliable and secure deployments.

5. Do you have the capability to perform unit and integration tests to ensure code reliability and quality.

6. Do you have familiarity with Agile methodologies for prioritizing tasks and managing issues.

7. Do you have proficiency in using Atlassian Tool Suite (JIRA, Confluence, Bitbucket) for project management.

8. Do you have active TS / SCI clearance with CI-Poly. a plus

9. Do you have experience working with CI/CD pipelines using tools like Gitlab, Jenkins, or similar. a plus

10. Do you have familiarity with container orchestration tools such as Kubernetes or similar technologies. a plus

11. Do you have experience with data science libraries like NumPy, Pandas, scikit-learn, etc. a plus

12. Do you have the ability to retrain machine learning models on new data and validate updated metrics. a plus

13. Must be a US Citizen or Green Card holder.

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