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:
• Deploy and maintain cloud infrastructure utilizing AWS, Kubernetes, Terraform, Docker, and Helm.
• Configure observability tooling using Elasticsearch, Kibana, Grafana, and Prometheus.
• Support AI infrastructure including LLMs, vLLM, LiteLLM, agentic frameworks, and vector databases.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $308k+ yearly
Job Description:
• Lead the design, deployment, and maintenance of cloud infrastructure for AI capabilities using AWS and Kubernetes.
• Translate high-level stakeholder goals into engineering outcomes and platform solutions.
• Work within ambiguous problem spaces to define structured, executable engineering solutions.
• Mentor engineers and establish development best practices, engineering standards, and technical governance.
• Establish and enforce security best practices for infrastructure systems and data, including certificate and identity management.
• Deploy and manage cloud services including AWS EKS, IAM, Route 53, Terraform, Docker, Helm, and Argo CD.
• Configure and maintain observability tooling including Elastic Stack (Kibana), Grafana, and Prometheus.
• Maintain cloud-native architectures and support production AI infrastructure, vector databases, and LLM serving technologies.
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:
• Deploy and maintain cloud infrastructure utilizing AWS, Kubernetes, Terraform, Docker, and Helm.
• Configure observability tooling using Elasticsearch, Kibana, Grafana, and Prometheus.
• Support AI infrastructure including LLMs, vLLM, LiteLLM, agentic frameworks, and vector databases.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $308k+ yearly
Job Description:
• Lead the design, deployment, and maintenance of cloud infrastructure for AI capabilities using AWS and Kubernetes.
• Translate high-level stakeholder goals into engineering outcomes and platform solutions.
• Work within ambiguous problem spaces to define structured, executable engineering solutions.
• Mentor engineers and establish development best practices, engineering standards, and technical governance.
• Establish and enforce security best practices for infrastructure systems and data, including certificate and identity management.
• Deploy and manage cloud services including AWS EKS, IAM, Route 53, Terraform, Docker, Helm, and Argo CD.
• Configure and maintain observability tooling including Elastic Stack (Kibana), Grafana, and Prometheus.
• Maintain cloud-native architectures and support production AI infrastructure, vector databases, and LLM serving technologies.
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