21 час назад
Staff Platform Engineer (AI/ML)
140 800 - 176 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Platform Engineer (AWS/AI/ML): Building and scaling AWS-based Internal Developer Platforms with self-service infrastructure, automated workflows, and AI/ML capabilities with an accent on cloud networking, developer experience, and platform reliability. Focus on designing LLM and vector database infrastructure, translating natural-language requests into IaC, automating CI/CD with generative AI, and ensuring secure, resilient, cost-efficient cloud operations.
Location: USA Remote; Pacific Time Zone preferred, with collaborative meetings from 4 pm–7 pm PT Monday through Thursday.
Base pay range: $140,800–$176,000 per year, plus an annual performance bonus.
Company
guides consumers through health insurance and related care options using transparent digital services.
What you will do
- Lead the architecture, development, and continuous improvement of an Internal Developer Platform integrated with AI/ML workflows.
- Build ChatOps interfaces, self-service tooling, standardized services, templates, and APIs for infrastructure provisioning and application deployment.
- Design and optimize AWS cloud and network infrastructure across scalable, resilient, and cost-efficient environments.
- Implement CI/CD pipelines, Infrastructure as Code, platform lifecycle automation, and AI-assisted deployment workflows.
- Build AI-powered observability capabilities, including automated log analysis, anomaly detection, dashboards, and alerting.
- Lead incident management, technical decision-making, security governance, and platform engineering mentorship.
Requirements
- 8+ years of experience in platform engineering, cloud architecture, or related fields, including at least 7 years focused on AWS.
- Extensive experience building Internal Developer Platforms with automation, self-service workflows, and CI/CD.
- Hands-on experience with AI/ML infrastructure, LLMs, vector databases, GPU infrastructure, and AI-powered observability.
- Advanced experience designing AWS cloud, network, and security architectures using services such as EC2, EKS, RDS, Lambda, S3, CloudFormation, CloudWatch, VPC, and IAM.
- Experience with Terraform, CloudFormation, CDK, Jenkins, GitLab CI, ArgoCD, Prometheus, and Grafana.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
Nice to have
- AWS Certified Solutions Architect–Professional or equivalent certification.
- CKA or a similar Kubernetes certification.
- Experience with service meshes, API gateways, serverless architectures, multi-region or multi-cloud environments, and cloud modernization.
Culture & Benefits
- Medical, dental, and vision benefits from the first day of employment.
- 401(k) with matching contributions.
- Tuition reimbursement and an employee stock purchase program.
- 12 company-paid holidays and flexible paid time off for non-exempt employees.
- Values include teamwork, customer centricity, innovation, integrity, quality, accountability, and financial stewardship.
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