Software Engineer - TS/SCI w/Poly

As a Software Engineer at our company, you will coordinate with mission partners to ensure tools meet requirements, apply an agile approach for development, address security vulnerabilities, design and deploy data pipelines in cloud environments, and maintain source code in a remote repository. Your role will include quality assurance for data, troubleshooting pipelines, and constant improvement of workflows.

To qualify for the Software Engineer role, candidates should have experience in Unix operating systems, data transformation scripting in Python, programming in languages like Java or C#, and working with SQL and NoSQL databases. Demonstrated experience with cloud environments and DevOps principles is also essential.

Our Software Engineers enjoy a competitive benefits package, including five weeks of paid vacation, fully paid health benefits, a 6% 401k contribution, training reimbursement, and coverage for approved travel expenses. We prioritize the well-being of our team members.

Cloud experience is crucial for the Software Engineer role, as you'll be responsible for designing, building, and deploying data pipelines in environments like AWS, GCP, or Azure. Familiarity with these systems enables you to effectively manage and transform data.

Candidates should be proficient in at least one programming language such as Java, Go, C#, or Scala. Additionally, experience with Python for data transformation scripting is highly desirable to effectively handle data management responsibilities in the role.

In your response, focus on specific tasks you performed within a Unix environment, such as managing terminal commands, scripting, and any applications you developed. Highlight how your Unix experience has prepared you to handle system-level tasks efficiently.

Discuss your process for assessing business requirements, choosing the right tools, and implementing data ingestion techniques. Mention any cloud platforms you've used, how you ensure data quality and security, and your experiences with troubleshooting any issues.

Talk about your experience with common security practices like regular audits, vulnerability assessments, and how you maintain compliance. Share examples of vulnerabilities you've detected and the steps you took to remediate them.

Explain the methodologies you utilize for data validation and quality assurance. This could include automated tests, monitoring data integrity, and collaboration with team members to identify potential issues before deployment.

Share a specific example highlighting your critical thinking and problem-solving skills. Focus on the challenge, the steps you took to resolve it, and the positive outcomes of your solutions.

Discuss any tools and practices you have experience with, such as CI/CD pipelines, containerization with Docker or Kubernetes, and configuration management systems. Explain how you integrate these into your workflow to enhance development efficiency.

Mention any resources, communities, or platforms you engage with, like online courses, webinars, or tech blogs. Discuss how continuous learning helps you implement best practices in your role as a Software Engineer.

Describe the databases you've used, the types of projects you've worked on, and how you managed data storage and retrieval. Highlight your experience with specific SQL or NoSQL types, for instance, Postgres or MongoDB.

Share your understanding of AI/ML concepts and any projects where you applied these methodologies. Discuss how this knowledge enhances your data handling and software solutions.

Explain your approach to task management, including tools or techniques you use to prioritize effectively. Share specific examples of managing competing deadlines and ensuring project success.