7 часов назад
Infrastructure Engineer (AI)
160 000 - 245 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI) (AWS/Kubernetes): Designing and operating robust, scalable cloud infrastructure and platform capabilities for AI-powered healthcare products with an accent on reliability, security, observability, and HIPAA compliance. Focus on evolving AWS and Kubernetes environments, defining SLOs and error budgets, improving CI/CD workflows, and leading systemic improvements after incidents.
Location: On-site in San Francisco, United States; relocation stipend available.
Salary: $160,000–$245,000 per year, plus equity.
Company
develops artificial intelligence solutions for radiology and healthcare, including reporting, impressions, and continuity products.
What you will do
- Shape the technical direction of infrastructure and platform capabilities supporting AI healthcare products.
- Architect and evolve AWS-based cloud infrastructure across Kubernetes, ECS, Lambda, EC2, and data stores.
- Define infrastructure strategy, standards, roadmaps, and delivery priorities with engineering leadership.
- Secure networking, identity, and access patterns across environments while meeting healthcare compliance requirements.
- Improve reliability through SLOs, SLIs, error budgets, incident reviews, monitoring, logging, metrics, and tracing.
- Mentor engineers and improve developer experience through CI/CD workflows, automation, and internal tooling.
Requirements
- 4+ years of hands-on infrastructure or platform development experience in modern cloud-native environments.
- Deep expertise with AWS and/or GCP, including networking, compute, storage, and managed services.
- Strong proficiency in Python or another programming or scripting language used for infrastructure work.
- Extensive experience with Kubernetes, Docker, container orchestration, and operating systems at scale.
- Experience with Terraform, Pulumi, or similar Infrastructure as Code tools, plus Git-based workflows and Linux debugging.
- Experience leading complex cross-team initiatives, communicating technical tradeoffs, and mentoring engineers.
Nice to have
- Experience in HIPAA-regulated environments, healthcare, or health tech.
- Platform or security engineering experience involving access control, encryption, auditability, and compliance.
- Experience with ML or data platforms such as Airflow, Ray, ML pipelines, or model serving stacks.
- Familiarity with CloudWatch, New Relic, Grafana, OpenTelemetry, or similar observability tools.
- Experience building internal developer platforms, SDKs, reusable frameworks, or scaling infrastructure at a fast-growing startup.
Culture & Benefits
- Collaborative, transparent, and inclusive working environment.
- Medical, dental, vision, and life insurance.
- HSA with employer match, FSA, DCFSA, and 401(k).
- Flexible PTO, 11 paid company holidays, and annual equipment stipend.
- Annual company-wide and periodic team offsites.
- Equity compensation and relocation stipend.
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