Senior Software Engineer – Active Secret, Top Secret (SCI-eligible)

This is a fully remote position, open to applicants in Virginia.

📋 Description

• Design, model, and implement graph data structures to represent complex system relationships, workflows, and time-dependent processes utilizing Neo4j, Gremlin, or similar tools.

• Construct and integrate back-end web applications, contributing to front-end development as necessary to deliver complete, production-ready functionalities.

• Develop and sustain robust ETL and data pipelines that encompass structured, semi-structured, and unstructured data, with a keen focus on data quality.

• Engineer real-time and event-streaming workflows capable of managing high-velocity, sequential data streams.

• Deploy and manage enterprise applications within cloud environments using containerization and orchestration, while applying DevOps, DataOps, and MLOps methodologies.

• Utilize GenAI/ML techniques, including GraphRAG, to tackle graph-related and NoSQL data challenges.

• Write comprehensive unit, integration, and API tests to guarantee robust, scalable, and maintainable solutions.

• Conduct simulations and apply advanced analytics using Python to address complex mission challenges.

• Align data engineering strategies with extensive interconnected systems to ensure adaptability and scalability.

⛳️ Requirements

• Advanced degree in a quantitative discipline (such as computer science, machine learning, applied statistics, or mathematics) or equivalent experience, with 7–8 years of pertinent experience.

• Active Secret/TS/SCI clearance (or SCI-eligibility), preferably with previous or current DoD SAP/SAR access.

• Demonstrated experience with graph databases and analytics, including Neo4j, Gremlin, or similar tools, as well as query languages like Cypher or Gremlin; capability to model intricate system relationships, workflows, and time-dependent processes.

• Strong programming expertise in modern languages such as Python, Java, JavaScript/TypeScript, or Go, with a focus on writing clean, maintainable, and scalable code.

• Experience in building and integrating back-end web applications and contributing to front-end development as required.

• Extensive background in data engineering and pipelines, including ETL, data quality, and experience with structured, semi-structured, and unstructured data; familiarity with event streaming, real-time data processing, and high-velocity sequential data flows.

• Practical understanding of software engineering best practices, including DevOps, DataOps, MLOps, containerization (e.g., Docker), and orchestration.

• Experience with distributed computing frameworks and cloud platforms, focusing on deploying enterprise applications in cloud settings.

• Strong testing proficiency, encompassing unit testing, integration/API testing, and ensuring robust, scalable solutions.

• Experience with NoSQL databases and addressing graph-related challenges, including the application of GenAI/ML techniques like GraphRAG.

• Proven capacity to align data engineering methods with large-scale interconnected systems to ensure adaptability and scalability.

🏝️ Benefits

• Opportunity to make a significant impact for the organization and our customers.

• Exceptional growth potential by joining a rapidly expanding organization.

• Competitive salary and benefits.