15 часов назад
Software Engineer (AI)
163 000 - 178 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Software Engineer (AI): Building and maintaining AWS and Kubernetes infrastructure that supports customer AI capabilities with an accent on secure, reliable deployments, CI/CD, and observability. Focus on infrastructure-as-code, production troubleshooting, certificate management, and supporting cloud-native AI services.
Salary: $163,000–$178,000 per year, plus $41,000–$44,000 in immediately vested company 401(k) contributions.
Company
Work supports a customer organization’s AI infrastructure and AI-enabled applications.
What you will do
- Deploy and maintain AWS and Kubernetes infrastructure supporting AI capabilities.
- Build and maintain CI/CD pipelines and infrastructure-as-code for reliable, repeatable deployments.
- Configure observability tools to monitor production service health and performance.
- Manage certificates and apply security best practices for AI systems and data.
- Provision infrastructure for other service teams and help diagnose production issues.
Requirements
- Active Top Secret/SCI clearance with Full Scope Poly required.
- At least 3 years of experience.
- Bachelor’s degree in a technical discipline, or 4 additional years of experience in place of the degree.
- Proficiency with Python or another modern programming language.
- Familiarity with AWS or another cloud provider, containerization, and tools such as Docker.
- Ability to learn new technologies quickly and communicate effectively.
Nice to have
- Experience with AWS EKS, Terraform, and IAM.
- Experience with Kubernetes, Helm, Kustomize, Argo CD, or other CI/CD frameworks.
- Experience with Elastic Stack, Kibana, Grafana, Prometheus, or other observability tools.
- Experience with certificate management, cloud-native architecture, or production infrastructure.
- Familiarity with LLMs and AI hosting concepts.
Culture & Benefits
- Immediately vested company 401(k) contributions of $41,000–$44,000.
- Work on infrastructure supporting evolving AI capabilities and mission needs.
- Opportunity to develop skills across cloud infrastructure, security, and emerging technologies.
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