Senior Platform Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Platform Engineer (AI): Designing, building, and scaling cloud infrastructure and developer experience in an AI-powered healthcare platform with an accent on cloud security practices, Terraform modularity, and multi-cloud/multi-tenant architecture. Focus on maximizing engineering velocity and security while implementing scalable application testing pipelines and improving incident response.
Location: San Francisco (Onsite/Hybrid), New York City (Onsite/Hybrid)
Salary: $162,000 – $234,000
Company
is an AI-powered platform built for medical conversations, improving clinical documentation efficiencies and enabling clinicians to focus on their patients.
What you will do
- Design, build, and scale cloud infrastructure including networking, IAM, Kubernetes, databases, streaming, storage, and distribution.
- Design and implement build pipelines, branching strategies, and release management tooling for a growing engineering team.
- Design, implement, and scale cloud security practices including CI and deployment scans, access controls, and compliance.
- Help implement fast and scalable application testing pipelines including end-to-end UI tests and load tests.
- Improve incident response by enhancing observability, runbooks, and incident response muscle across the organization.
- Evangelize, document, and train the engineering team on cloud-native design strategies and tools.
Requirements
- 8+ years of software engineering experience, including 3+ years of infrastructure-as-code experience in a cloud-first organization.
- Experience building on Kubernetes and scaling compute services, including related cloud-native technologies.
- Familiarity with Kubernetes cluster management, including version upgrades and service mesh management.
- Experience creating and maintaining CI/CD pipelines.
- Experience with monitoring and observability tooling and practices at scale.
- Comfortable implementing and securing services in Google Cloud Platform as Infrastructure as code.
- Experience with backend languages (e.g. Python, GoLang, Node, Rust).
- Must be willing to travel up to 10%
Culture & Benefits
- Generous time off: 13 paid holidays, flexible PTO, and accrued time off for hourly employees.
- Comprehensive health plans: Medical, dental, and vision plans with covering a significant portion of premiums.
- Paid parental leave: 16 weeks of paid parental leave for full-time employees.
- 401k and matching: Contribution matching to help invest in your future.
- Learning and development budget: Yearly contributions for coaching, courses, workshops, and conferences.
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