Job Requirements
Annapolis Junction, MD
Intel Agency (NSA, CIA, FBI, etc) Full Scope Polygraph
Mid Level Career (5+ yrs experience)
Salary not specified
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Job Description
Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered.
Summary:
• Lead the design, deployment, and maintenance of cloud infrastructure supporting AI capabilities
• Architect and manage AWS, Kubernetes, Terraform, Docker, and Helm configurations
• Implement robust observability tooling including Prometheus, Grafana, and Kibana
• Support the deployment and scaling of LLM inference frameworks and vector databases
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $320k+ yearly
Job Description:
• Lead the design, deployment, and maintenance of cloud infrastructure used by AI capabilities in AWS and Kubernetes environments
• Translate high-level stakeholder goals into scalable engineering outcomes and platform solutions
• Define structured solutions within ambiguous problem spaces for team execution
• Mentor engineers and foster engineering standards, development best practices, and technical governance
• Establish and enforce cloud-native security practices for infrastructure and data, including certificate and identity management
• Build and maintain CI/CD pipelines using Argo CD and containerized workflows
• Configure and maintain monitoring and observability suites using Elastic Stack, Grafana, and Prometheus
• Support emerging AI technologies, including inference serving frameworks and vector database systems
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
Summary:
• Lead the design, deployment, and maintenance of cloud infrastructure supporting AI capabilities
• Architect and manage AWS, Kubernetes, Terraform, Docker, and Helm configurations
• Implement robust observability tooling including Prometheus, Grafana, and Kibana
• Support the deployment and scaling of LLM inference frameworks and vector databases
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $320k+ yearly
Job Description:
• Lead the design, deployment, and maintenance of cloud infrastructure used by AI capabilities in AWS and Kubernetes environments
• Translate high-level stakeholder goals into scalable engineering outcomes and platform solutions
• Define structured solutions within ambiguous problem spaces for team execution
• Mentor engineers and foster engineering standards, development best practices, and technical governance
• Establish and enforce cloud-native security practices for infrastructure and data, including certificate and identity management
• Build and maintain CI/CD pipelines using Argo CD and containerized workflows
• Configure and maintain monitoring and observability suites using Elastic Stack, Grafana, and Prometheus
• Support emerging AI technologies, including inference serving frameworks and vector database systems
About SYSTOLIC:
SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission. Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com.
To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency
group id: 10527119