14 days ago
Chantilly, VA, USASenior
Base Salary
$93k - $218k/yr
Responsibilities
- Develop and support custom in-house applications using modern programming languages and frameworks.
- Design and optimize automated ETL pipelines for parsing, scheduling, ingestion, normalization, and schema alignment of structured and unstructured data.
- Integrate and orchestrate vector, graph, and relational databases while supporting ABAC, data provenance, and end-to-end lineage tracking.
- Support air-gapped, hybrid, and on-premises environments with locally hosted GPU servers, hyperconverged nodes, and multitenant Cross Domain Solutions.
- Develop user interfaces, backend services, and middleware using TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, and Temporal.io.
- Integrate reasoning components, retrieval systems, databases, and AI/GenAI services into enterprise applications.
- Implement AI capabilities across multiple models and modalities, including reasoning, perception, memory, tool execution, computer vision, entity extraction, retrieval, and structured output generation.
- Use Docker and Kubernetes for container orchestration and distributed systems management.
- Support machine learning workflows, MLOps platforms, AI/ML infrastructure, DevSecOps, and secure software delivery practices.
- Lead technical initiatives and mentor engineering teams.
Requirements
- Active Top Secret clearance with eligibility for Sensitive Compartmented Information and ability to obtain a Counterintelligence Polygraph.
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical discipline, or equivalent experience.
- Minimum eight years of relevant professional experience.
- Experience developing and supporting custom in-house applications using modern programming languages and frameworks.
- Expertise in AI, generative AI, and orchestration across multiple models and modalities.
- Experience with temporal, spatial, geographic, quantitative, and computer vision AI capabilities.
- Proficiency in named entity recognition, contextual entity extraction and resolution, multi-step retrieval, and structured output generation with traceable source citations.
- Experience designing and optimizing automated ETL pipelines and integrating vector, graph, and relational databases.
- Experience supporting air-gapped, hybrid, and on-premises environments, locally hosted GPU servers, hyperconverged nodes, and multitenant Cross Domain Solutions.
- Proficiency with Docker and Kubernetes.
- Preferred experience with DevSecOps, secure software delivery, machine learning workflows, MLOps platforms, AI/ML infrastructure, Terraform, CloudFormation, Ansible, Git, GitHub, GitLab, Bitbucket, monitoring, logging, and observability platforms.
- Preferred experience leading technical initiatives and mentoring engineering teams.
- Relevant AWS, Azure, Kubernetes, Jenkins, Security, or DevOps certifications are preferred.
Benefits
- Medical insurance with generous employee and dependent cost sharing.
- Company-paid dental, vision, short-term disability, and long-term disability insurance for employees and dependents as applicable.
- 401(k) plan with a generous match and immediate vesting.
- Paid leave and holiday package.
- Tuition and training reimbursement.
- Life and AD&D insurance.
- Competitive pay.
- U.S.-owned company headquartered in Chantilly, Virginia, serving the Federal Intelligence Community.
Tech Stack
Categories
About AnaVation
AnaVation provides cybersecurity, software, cloud, and data engineering services to U.S. government customers, particularly the federal intelligence community. The company builds and supports cyber collection and processing systems, SOC/incident response capabilities, and big-data and cloud infrastructure used across multiple agencies, including AWS-based environments. Founded in 2013 and headquartered in Chantilly, Virginia, AnaVation is a private partnership focused on complex government programs.