DevOps Engineer
AnaVation
- Pay
- $92.9K to $218.3K
- a year
- Location
- Chantilly, VA
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 28
- 2 days ago
Career path
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About the company
AnaVation
Information technology and services · 51 to 200 employees
In a world of technology, people make the difference. We believe if we invest in great people, then great things will happen. At AnaVation, we provide unmatched value to our customers and employees through innovative solutions and an engaging culture.
What you need
- Active Top Secret (TS) clearance with eligibility for Sensitive Compartmented Information (SCI) and ability to obtain a Counterintelligence (CI) Polygraph.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related technical discipline (or equivalent experience). Minimum 8 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, including reasoning, perception, memory, and tool execution.
- Experience implementing temporal, spatial, geographic, quantitative, and computer vision AI capabilities.
- Proficiency in named entity recognition (NER), contextual entity extraction and resolution, multi-step retrieval, and structured output generation with traceable source citations.
- Experience designing and optimizing automated ETL pipelines, including complex data parsing, scheduling, and schema-aligned ingestion and normalization of structured and unstructured data.
- Experience integrating and orchestrating vector, graph, and relational databases, with knowledge of Attribute-Based Access Control (ABAC), data provenance, and end-to-end lineage tracking.
- Experience supporting air-gapped, hybrid, and on-premises environments, including locally hosted GPU servers, hyperconverged nodes, and multitenant Cross Domain Solutions (CDS).
- Proficiency in container orchestration and distributed systems management using Docker and Kubernetes.
- Experience developing user interfaces, backend services, and middleware using technologies such as TypeScript, React, Python, FastAPI, LanceDB, Lance Graph, PostgreSQL, and Temporal.io.
- Experience integrating reasoning components, retrieval systems, databases, and AI/GenAI services into enterprise applications.
- Experience implementing DevSecOps and secure software delivery practices.
- Experience supporting machine learning workflows, MLOps platforms, or AI/ML infrastructure.
- Knowledge of Infrastructure as Code tools such as Terraform, CloudFormation, or Ansible.
- Experience with source control platforms such as Git, GitHub, GitLab, or Bitbucket.
- Familiarity with monitoring, logging, and observability platforms.
- Experience leading technical initiatives and mentoring engineering teams.
- Relevant industry certifications (e.g., AWS, Azure, Kubernetes, Jenkins, Security, or DevOps certifications).
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