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 robust inference models and infrastructure to support cutting-edge large language models (LLMs).
• Develop scalable backend services and infrastructure leveraging Python, Kubernetes, Helm, Docker, and AWS.
• Implement comprehensive observability and monitoring frameworks while providing technical leadership and mentoring team members.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $346k+ yearly
Job Description:
• Lead the evaluation, configuration, and deployment of inference models across the inference software stack.
• Translate high-level stakeholder goals into concrete engineering outcomes and production solutions.
• Design, develop, and maintain services and infrastructure utilizing Python, Kubernetes, Helm, and AWS cloud environments.
• Implement and support inference frameworks such as vLLM and LiteLLM to optimize model serving.
• Establish observability, logging, and metrics using tools such as Grafana, Prometheus, and Elasticsearch.
• Apply Site Reliability Engineering (SRE) and containerization best practices using Docker.
• Mentor engineering colleagues, champion development best practices, and guide technical standards.
• Collaborate with cross-functional engineering teams to integrate LLM-powered capabilities and support critical inference requirements.
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 robust inference models and infrastructure to support cutting-edge large language models (LLMs).
• Develop scalable backend services and infrastructure leveraging Python, Kubernetes, Helm, Docker, and AWS.
• Implement comprehensive observability and monitoring frameworks while providing technical leadership and mentoring team members.
Qualifications & Compensation:
• Degree: Technical bachelor's degree or equivalent experience
• Years of experience: 12+ years
• Total Compensation: $346k+ yearly
Job Description:
• Lead the evaluation, configuration, and deployment of inference models across the inference software stack.
• Translate high-level stakeholder goals into concrete engineering outcomes and production solutions.
• Design, develop, and maintain services and infrastructure utilizing Python, Kubernetes, Helm, and AWS cloud environments.
• Implement and support inference frameworks such as vLLM and LiteLLM to optimize model serving.
• Establish observability, logging, and metrics using tools such as Grafana, Prometheus, and Elasticsearch.
• Apply Site Reliability Engineering (SRE) and containerization best practices using Docker.
• Mentor engineering colleagues, champion development best practices, and guide technical standards.
• Collaborate with cross-functional engineering teams to integrate LLM-powered capabilities and support critical inference requirements.
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