> Markdown version of [/jobs/ext/3448380-aws-cloud-security-engineer](https://www.wearedevelopers.com/jobs/ext/3448380-aws-cloud-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AWS Cloud Security Engineer - **Company:** Quevera LLC - **Location:** Herndon, VA, United States (Remote available) - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Cyber Security, Information Security Management, Performance Tuning, Scrum Methodology, Management of Software Versions, Enterprise Application Integration, Data Logging, System Availability, Large Language Models, Prompt Engineering, Model Validation, Infrastructure as Code (IaC) - **Published:** September 16, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=b7751c49975d570b ## About the Role The position supports work across Herndon, Virginia; Springfield, Virginia; Denver, Colorado; and Seattle, Washington, with work split approximately 80% low-side and 20% high-side. Remote work is acceptable, but candidates must be willing and able to work from AWS SCIFs as required., * Develop reusable Infrastructure as Code (IaC) and cross-account integrations to standardize and centralize security services across a complex, multi-vendor environment with distributed AWS accounts under an externally managed organization. ## Description * Design and implement intelligent model-routing logic using ML-based classification to route requests to appropriate LLMs based on conversational context, task complexity, and performance requirements. * Build and maintain orchestration layers using AWS Bedrock, LangChain, or custom frameworks to support multi-model workflows. * Train, evaluate, and iterate on classification models using evaluation frameworks and feedback loops. * Architect conversation-context analysis, retrieval, and embedding strategies to interpret user intent across multi-turn interactions. * Develop prompt-engineering standards and context-window management techniques supporting intent classification and routing. * Architect enterprise-scale GenAI solutions with high availability, performance optimization, and cost management. * Apply GenAI platform practices including observability, model evaluation, guardrails, responsible AI controls, and versioning. * Design and maintain data extraction and transformation pipelines supporting model training, evaluation, and enterprise application integration. * Engage with customer stakeholders and technical counterparts to gather requirements, validate solutions, and participate in Agile/Scrum ceremonies. * Collaborate with the Engagement Manager to track progress and risks and produce technical documentation, architecture diagrams, and handoff artifacts., * Assess current security posture and drive vendor alignment with organizational standards. * Help shape government security processes and support the production of compliance artifacts, including IATTs and ATOs. * Integrate distributed logging to a centralized reviewer (C5ISR). Desired Skills: * Active TS/SCI clearance required. * Must be willing and able to work from AWS SCIFs as required. * Candidates must be local to Herndon, Virginia; Denver, Colorado; or Seattle, Washington.