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9 часов назад

Senior/Staff Site Reliability Engineer (Fintech)

Формат работы
remote (только USA)/hybrid
Тип работы
fulltime
Грейд
senior/lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior/Staff Site Reliability Engineer (GCP/AWS): Building and scaling infrastructure for a high-growth fintech platform with an accent on automation, observability, and AI-driven operations. Focus on eliminating manual toil using AI agents, optimizing Kubernetes clusters, and enhancing CI/CD pipelines for high-load financial systems.

Location: Chicago, IL or New York, NY (Hybrid: 4 days in-office). Potential for remote arrangement for the right candidate.

Company

hirify.global powers Klover, a fast-growing fintech platform serving over one million active users monthly with over $1.5 billion in annual processing.

What you will do

  • Automate infrastructure tasks using AI agents (e.g., Claude Code, Cursor) to eliminate manual toil.
  • Develop Terraform modules and Helm charts for Kubernetes deployments via GitLab pipelines.
  • Manage and optimize GCP BigQuery, Spanner, and CloudSQL databases.
  • Configure Istio service mesh for network policies and routing rules.
  • Build Grafana dashboards and Prometheus alerts to increase system visibility.
  • Collaborate on architecture design and capacity planning to ensure scalability and security.

Requirements

  • 6+ years of experience building large-scale cloud-native infrastructure (AWS and/or GCP).
  • Demonstrated fluency directing AI coding agents to build and debug real infrastructure.
  • Experience with Docker, Kubernetes, and Istio (or similar service mesh).
  • Proficiency with SQL databases (MySQL, BigQuery, Spanner) and stream technologies (Kafka, Kinesis).
  • Experience with Terraform, Datadog, Prometheus, and Grafana.
  • Knowledge of SOC2 and PCI Compliance processes.

Culture & Benefits

  • Hybrid work schedule with 4 days in-office for Chicago and NY locations.
  • Collaborative environment focusing on automation and developer experience.
  • Opportunity to work with modern AI tools and architectures at scale.
  • Culture of constructive feedback and continuous learning.

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