Software Engineer (TS/SCI with Poly)

Soilair Selection; McLean (VA); Hybrid; USD 90,000 - 120,000; Full time

Benefits offered by this job

Health Savings Accounts

401(k) plan

Tuition assistance

Employee discount program

Job summary

Ssoilair Selection is seeking a Software Engineer in McLean, Virginia, to support cloud-based data processing systems and analytics platforms. The role involves developing and optimizing solutions for large datasets and requires strong expertise in cloud technologies and DevOps.

Ideal candidates will possess a Bachelor’s degree in Computer Science and hold an active TS/SCI clearance. Benefits include medical coverage, flexible work schedules, and generous paid time off.

Qualifications

• Active TS/SCI clearance with Polygraph required.
• Experience with AWS services including S3 and EC2.
• Experience integrating cloud services with high-performance computing.

Responsibilities

• Develop algorithms and custom solutions for data processing.
• Implement data ingestion workflows using Apache NiFi.
• Optimize cloud computing technologies through distributed processing.

Skills

Cloud technologies

Data engineering

DevOps

Automation

Software development

Agile methodologies

Machine learning

Data analysis

Education

Bachelor’s degree in Computer Science or related field

Tools

Apache NiFi

Python

AWS

Docker

SQL

Anaconda

Terraform

Job description

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, DevOps, automation, and software development, with a passion for building innovative solutions that enable advanced analytics and data science capabilities.

Responsibilities

• 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.

Requirements

• 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 usability standards.
• Experience using Anaconda, Bash, and Terraform for development and infrastructure automation.
• Experience building and maintaining CI/CD pipelines utilizing tools such as GitHub, Jenkins, Jira, and Confluence.
• Experience with automated testing, infrastructure deployment, and configuration management.
• Experience provisioning and managing cloud infrastructure, including AWS, Azure, or similar cloud platforms.
• Experience integrating cloud-based services with on-premises high-performance computing environments.
• Strong documentation and system architecture experience.
• Professional proficiency in SQL, PL/SQL, Python, and Java.

Highly Desired Qualifications

• Advanced experience in Computer Science, Computer Engineering, Systems Engineering, or related disciplines.
• Experience supporting data scientists in machine learning model development, transfer learning, fine-tuning, and generative AI initiatives.
• Experience deploying and optimizing AI/ML models in cloud environments.
• Experience integrating cloud-based analytics platforms with Tableau visualization tools.
• Experience supporting data management lifecycles within intelligence or analytics organizations.
• Experience designing distributed computing and parallel processing solutions.
• Strong analytical problem-solving skills.
• Excellent collaboration and stakeholder engagement abilities.
• Experience conducting user research and supporting analytical mission environments.
• Ability to effectively balance multiple competing priorities and deadlines.

Work Location

• Primary work location is a Sponsor facility within the Washington Metropolitan Area (WMA).
• Hybrid work arrangements may be available based on mission requirements.

Travel

• Local travel within the Washington Metropolitan Area.
• Temporary Duty (TDY) travel throughout the Continental United States (CONUS).
• Limited Temporary Duty (TDY) travel Outside the Continental United States (OCONUS).

Benefits

• Medical, dental and vision coverage
• Health Savings Accounts and Flexible Spending Accounts for healthcare and dependent care
• Flexible work schedule to include onsite, hybrid or remote, as dictated by position
• 401(k) and company-funded life insurance
• Generous Paid Time Off (PTO)
• Tuition and training assistance
• Financial rewards for employee referrals.
• Pet insurance
• Employee discount program

Solerity is committed to the range of perspectives we bring to the marketplace by being an employer dedicated to hiring a highly qualified team of professionals, providing world class services and products aimed at exceeding our customer’s expectations. Solerity is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities. Solerity is a VEVRAA Federal Contractor.