Software Engineer; TS​/SCI Poly

Job Type:
Full-time

Take the next step in your professional career with Solerity. As a recognized leader in providing Information Technology, Engineering Services, Program Management, and Consulting Services to the U.S. Federal Government and Intelligence Community, we deliver innovative and mission‑focused solutions that enable our clients to achieve their most critical objectives.

Solerity is seeking a Software Engineer to support a mission‑focused organization responsible for delivering data‑driven business analysis to senior leadership. This position will focus on the development, integration, optimization, and maintenance of cloud‑based data processing systems, analytics platforms, and scalable computing environments supporting large‑volume datasets across both on‑premises and cloud infrastructures.

The ideal candidate will possess strong expertise in cloud technologies, data engineering, Dev Ops, automation, and software development, with a passion for building innovative solutions that enable advanced analytics and data science capabilities.

• Develop algorithms, schemas, and custom solutions to process and ingest large datasets into cloud and on‑premises environments.
• Design, implement, and optimize data ingestion workflows using Apache NiFi, custom Python scripts, and other ETL technologies.
• Generate and maintain metrics to monitor data ingest performance, quality, and integrity.
• Create and maintain technical documentation, data flow diagrams, and system architecture documentation.
• Participate in the full product development lifecycle, including requirements gathering, design, implementation, testing, and deployment.
• Develop conceptual models, workflows, user interface designs, and functional specifications.
• Optimize cloud‑based computing technologies through distributed processing, PySpark, machine learning model training, and model deployment.
• Build automation tools and scripts to monitor, troubleshoot, deploy, and maintain AI/ML models and analytics platforms.
• Support cloud infrastructure performance, availability, scalability, security, monitoring, and capacity planning initiatives.
• Develop cloud‑native microservices and integrate cloud resources with on‑premises high-performance computing environments.
• Utilize Sponsor‑approved version control systems, coding standards, knowledge management tools, and delivery platforms.
• Manage software builds, upgrades, patches, and deployments across development, testing, and production environments.
• Support developers and data scientists through CI/CD implementation and deployment automation.
• Apply Agile development methodologies and microservice architectures to improve system performance, resource management, and security.
• Provide engineering support for data science teams, including compute environment preparation, data engineering, database administration, backend development, operational support, and knowledge management.
• Design enterprise architectures supporting the collection, analysis, and visualization of diverse data sources.
• Recommend enhancements to databases, applications, and processes to enable near real‑time analytics and improved business outcomes.
• Additional duties may be assigned.

• Bachelor's degree in Computer Science, Computer Engineering, Systems Engineering, Information Technology, or a related technical field.
• Active TS/SCI clearance with Polygraph required.
• Demonstrated experience developing applications supporting large‑scale data analysis.
• Experience with cloud services and architectures, including AWS technologies such as S3, RDS, and EC2.
• Experience administering and optimizing SQL databases, including MySQL and PostgreSQL.
• Experience implementing ETL workflows using Apache NiFi and custom Python or Java solutions.
• Experience creating operating system‑level scripts to automate data processing tasks.
• Experience using Git and version control best practices.
• Experience with JavaScript, HTML5, CSS, Flask, and modern web development technologies.
• Experience developing and deploying containerized applications using Docker or similar technologies.
• Experience applying user‑centered design principles and web…