3 дня назад
Senior Software Engineer (AI Infrastructure)
260 000 - 285 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI Infrastructure): Building and maintaining AWS and Kubernetes infrastructure that supports customer AI capabilities with an accent on reliability, security, and cloud-native platform engineering. Focus on designing production infrastructure, establishing certificate and identity management, and translating ambiguous mission goals into deployable engineering solutions.
Location: Not specified; a current TS/SCI clearance with Full Scope Polygraph is required before applying.
Salary: $260,000–$285,000 per year, plus $65,000–$71,000 in immediately vested company 401(k) contributions.
Company
builds AI infrastructure and platform capabilities for a customer organization.
What you will do
- Design, deploy, and maintain AWS cloud infrastructure and Kubernetes clusters supporting AI capabilities.
- Translate high-level stakeholder and mission goals into platform solutions and engineering outcomes.
- Define structured solutions for ambiguous technical problems and evolving requirements.
- Mentor engineers and develop engineering standards, best practices, and technical governance.
- Establish and enforce infrastructure and data security practices, including certificate and identity management.
Requirements
- Current TS/SCI clearance with Full Scope Polygraph required before applying.
- Clearance sponsorship or clearance processing is not available.
- 12 years of experience, plus a B.S. in a technical discipline or four additional years of experience in place of the degree.
- Experience with AWS services including EKS, Terraform, IAM, and Route 53; Kubernetes; Helm or Kustomize; and Docker.
- Experience with Argo CD or other CI/CD frameworks, Elastic Stack, Kibana, Grafana, and Prometheus.
- Strong cloud-native security, production infrastructure, communication, stakeholder management, leadership, and coordination skills.
Nice to have
- Experience developing technical policies and governance frameworks.
- Experience with AI inference serving technologies such as vLLM or LiteLLM.
- Experience with agentic frameworks, vector databases, embedding systems, LLMs, or AI hosting concepts.
Culture & Benefits
- Immediately vested company 401(k) contributions of $65,000–$71,000.
- Work combines hands-on infrastructure engineering with technical leadership and coordination.
- Requirements evolve with mission needs and emerging technologies.
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