Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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$180к-275к/год
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Роль чётко сфокусирована на инфраструктуре и распределённых системах в продакшене, а AI-финтех направление и рост стартапа делают возможность особенно интересной.
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Infrastructure Engineer (AI): Building and operating distributed infrastructure for production AI agents at financial institutions with an accent on consistency, fault tolerance, horizontal scalability, and low-latency coordination. Focus on Kubernetes architecture, Terraform and GitOps, regulated financial reliability, distributed-systems failure diagnosis, and production observability.
Location: San Francisco, United States; onsite
Salary: $180K–$275K per year
Company
hirify.global is building an AI employee for financial services, using autonomous AI agents to process payments, originate loans, and support customer experiences for banks and other financial institutions.
What you will do
Design and operate distributed systems powering production AI agents, focusing on consistency, fault tolerance, horizontal scalability, and low-latency coordination.
Architect service-to-service communication, coordination, and state management across multiple regions and availability zones.
Own Kubernetes cluster architecture, scaling, upgrades, networking, and security hardening across environments.
Build Terraform modules and GitOps pipelines for reviewed, versioned, and repeatable infrastructure changes.
Design replication, failover, backups, disaster recovery, change logs, and observability for compliance-critical financial systems.
Diagnose production distributed-systems failures, participate in on-call rotation, and mentor engineers on distributed-systems design and infrastructure-as-code changes.
Requirements
5+ years in infrastructure, platform, or backend engineering roles, including substantial hands-on distributed-systems experience.
Strong understanding of consensus, replication, partitioning, consistency models including CAP/PACELC, and distributed-systems failure modes.
Production experience with AWS, GCP, or Azure at scale.
Hands-on experience running Kubernetes in production, including cluster upgrades, networking, and security policy.
Experience designing or operating distributed data stores, message queues, or event-streaming systems such as Kafka, etcd, Cassandra, or CockroachDB.
Strong infrastructure-as-code and CI/CD experience, with Terraform preferred.
Proficiency in at least one of Go, Python, or Rust for building distributed tooling.
Experience owning production reliability through on-call, incident response, and postmortems.
Comfort working onsite and collaborating with product, ML, and security engineering.
Culture & Benefits
Work onsite with platform, ML, security, and product engineering.
Participate in a production infrastructure on-call rotation.
Build systems for regulated financial institutions where precision, reliability, performance, and auditability are critical.
Work at a fast-growing YC S24 startup backed by Insight Partners and Y Combinator.
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