обновлено 3 дня назад
Senior Platform Engineer (AI)
190 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Platform Engineer (AI/DevOps): Establishing and growing the platform engineering function to optimize multi-cloud infrastructure across GCP and AWS with an accent on developer velocity and system reliability. Focus on building golden paths, automating CI/CD pipelines, and enhancing the security posture of AI-powered training simulations.
Location: Remote in the United States; New York, NY
Salary: $190,000–$210,000 per year
Company
builds AI-powered training simulations and intelligent quality assurance tools for organizations handling high-stakes conversations across healthcare, veteran support, crisis management, emergency dispatch, customer service, and sales.
What you will do
- Design, automate, and maintain multi-cloud infrastructure across GCP and AWS.
- Build and maintain platform tooling, CI/CD pipelines, templates, guardrails, and golden paths.
- Own developer tooling used to build, test, and deploy software.
- Improve observability, monitoring, on-call ergonomics, reliability, and MTTR using Datadog.
- Implement secure-by-default workflows covering secrets management, IAM, network security, vulnerability scanning, and container security.
- Establish infrastructure, security, and compliance practices supporting customer and industry requirements.
Requirements
- 5–7+ years of experience in DevOps, SRE, infrastructure, or platform engineering.
- Hands-on expertise with GCP, AWS, Terraform, Terragrunt, Cloud Run, Fargate, and managed Kubernetes.
- Strong experience building CI/CD pipelines, guardrails, and golden paths for modern application stacks.
- Understanding of cloud security, IAM, container security, network architecture, and modern observability.
- U.S. citizenship is required to access systems supporting a U.S. Department of Veterans Affairs contract.
- Experience with AI-driven development; backend coding experience with TypeScript is beneficial.
Nice to have
- Experience supporting machine learning, LLM serving, or data-intensive workloads.
- Exposure to SOC 2, HIPAA, GDPR, ISO 27001, or HITRUST compliance frameworks.
- Experience building internal developer platforms or paved-path tooling.
- Experience working in a fast-growing startup environment.
Culture & Benefits
- Remote work flexibility from anywhere in the United States.
- Autonomous, ownership-oriented work with strong cross-team collaboration.
- Generous retirement, equity, healthcare, and paid time off policies.
- Work on tools supporting healthcare, veteran support, crisis management, emergency dispatch, and mental health organizations.
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