Senior Infrastructure Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Infrastructure Engineer (AI): Designing, building, and advancing core infrastructure for the engineering team to execute quickly, productively, and securely with an accent on developer workflows and deployment infrastructure. Focus on automation, reliability of multi-cloud Kubernetes clusters and pipelines, and building machine learning infrastructure.
Location: Remote (United States)
Salary: $205,000–$270,000 + Offers Equity
Company
combines AI and human intelligence to help contact centers discover customer insights and automate conversations.
What you will do
- Partner with engineers to build dev tools that empower developer workflows and deployment infrastructure.
- Ensure reliability of multi-cloud Kubernetes clusters and pipelines.
- Implement metrics, logging, analytics, and alerting for performance and security across all endpoints and applications.
- Develop infrastructure-as-code deployment tooling and supporting services on multiple cloud providers.
- Automate operations and engineering to maximize efficiency.
- Build machine learning infrastructure that enables AI teams to train, test, and deploy on large-scale datasets.
Requirements
- 5+ years experience in DevOps, Site Reliability Engineering, Production Engineering, or equivalent field.
- Deep proficiency with coding languages such as Golang or Python.
- Deep familiarity with container-related security best practices.
- Production experience working with Kubernetes, and a deep understanding of the Kubernetes ecosystem.
- Production experience with Kubernetes templating tools such as Helm or Kustomize.
- Production experience with IAC tools such as Terraform or CloudFormation.
- Production experience working with AWS and services such as IAM, S3, EC2, and EKS.
Nice to have
- Production experience with other cloud providers such as Google Cloud and Azure.
- Production experience with database software such as PostgreSQL.
- Experience with GitOps tooling such as Flux or Argo.
- Experience with CI/CD such as GitHub Actions.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage.
- Flexible PTO.
- Paid parental leave for all new parents.
- Retirement savings plan.
- Remote work setup budget.
- Monthly wellness and communication stipend.
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