6 часов назад
Infrastructure Engineer (AI)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Infrastructure Engineer (AI) (AWS/GCP, Kubernetes): Architecting and operating the cloud infrastructure, developer platforms, and distributed systems that process millions of financial transactions and customer interactions daily with an accent on reliability, scalability, observability, and developer velocity. Focus on designing infrastructure automation, optimizing GPU-intensive AI workloads, defining SLOs, and building CI/CD and deployment systems for high-throughput production environments.
Location: On-site at the San Francisco office, with four days spent collaborating in person.
Salary: $200K–$300K annually, plus equity.
Company
builds AI agents that automate loan servicing, compliance, collections, recovery, insurance claims, and disputes for regulated financial services.
What you will do
- Lead architectural decisions and technical reviews for infrastructure-critical initiatives.
- Design, build, and own AWS or GCP infrastructure across compute, networking, storage, IAM, and observability.
- Develop scalable harnesses that enable coding agents to operate reliably without compromising system stability or code quality.
- Partner with the modeling team to optimize GPU-intensive workload serving and performance.
- Define SLOs, build monitoring and alerting, and lead incident response and postmortems.
- Own developer platform investments, including CI/CD, deployment tooling, environments, and internal infrastructure abstractions.
Requirements
- 5+ years of software engineering experience, including 2+ years at the senior or staff level in infrastructure or platform roles.
- Experience building and scaling large-scale distributed systems in production.
- Deep expertise in AWS or GCP, including compute, networking, storage, IAM, and cost optimization.
- Expertise in infrastructure as code, Kubernetes, and CI/CD systems in high-throughput environments.
- Experience operating high-availability systems with mature observability practices and a background in security.
- Ability to work on-site in San Francisco, with four in-person collaboration days per week and a typical 8:00 AM start.
Nice to have
- Experience serving AI/ML workloads.
- Combination of big tech and startup experience.
Culture & Benefits
- Fast-paced environment with substantial ownership across infrastructure engineering.
- AI-native engineering organization focused on modern tooling and engineering practices.
- Medical, dental, and vision coverage.
- 401(k) plan and catered lunches.
- Typical work schedule is around 60 hours per week, beginning at 8:00 AM.
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