Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
Выше рынка
$200к-250к/год
$140к$170кмедиана$190к
По похожим ролям (50) ~ $170к/год
На СНГ рынке: $3.3к/мес ($2.7к - $4.2к)
89
Крутая вакансия
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Чётко очерченная senior-роль сочетает современный стек Kubernetes и observability с базовой зарплатой выше рыночного ориентира. При этом торговая среда предполагает высокие требования к надёжности, а бонус зависит от решения компании.
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Цена ошибокСовременный стекВыше рынкаПолная ответственность
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior DevOps Engineer (Trading) (Kubernetes/Observability): Building and operating on-premise infrastructure for trading systems with an accent on Kubernetes platform operations, observability, GitOps, CI/CD, and infrastructure automation. Focus on scaling clusters and telemetry, automating bare-metal environments, supporting trading-desk adoption, and solving reliability challenges for P&L-impacting workloads.
Location: Chicago, United States
Base salary: $200,000–$250,000 USD per year, plus discretionary bonus eligibility.
Company
hirify.global is an independent proprietary trading firm within the DV Group, providing liquidity to worldwide financial markets and hedging opportunities to commodity producers and users.
What you will do
Operate and evolve Kubernetes platforms, including cluster lifecycle management with Cluster API, fleet-wide upgrades, bare-metal provisioning, CNI networking, storage, autoscaling, and disaster recovery planning.
Operate and scale the on-premise observability platform using Mimir, Loki, Tempo, Grafana, OpenTelemetry Collector, and Alertmanager; onboard teams, build dashboards, tune alerts, and scale ingestion.
Build and improve GitLab CI pipelines, ArgoCD-based Kubernetes deployments, Artifactory workflows, reusable CI components, and secrets integrations.
Develop infrastructure automation, configuration management, and self-service tooling for teams across the firm.
Onboard trading desks and development teams, write runbooks and documentation, and help establish a sustainable platform support model.
Requirements
5–8 years of experience in DevOps, SRE, or Platform Engineering roles.
Deep production Kubernetes experience, including cluster lifecycle management, troubleshooting, networking, storage, and RBAC.
Production experience with Prometheus, Grafana, and alerting; familiarity with Mimir, Loki, Tempo, or Thanos; understanding of OpenTelemetry collectors, exporters, and instrumentation.
Experience with ArgoCD, Flux, or similar GitOps tools; building and maintaining CI/CD pipelines with GitLab CI, GitHub Actions, or equivalent; and artifact management with Artifactory, Nexus, or similar tools.
Experience using Terraform and/or Ansible for provisioning and configuration management.
Strong Linux fundamentals, including systemd, networking, storage, and performance troubleshooting.
Go or Python experience for automation, tooling, and scripting; ability to read and write YAML and Helm charts.
Ability to work directly with trading desks and development teams and explain Kubernetes concepts to non-specialists.
Nice to have
Experience working at a trading firm and understanding the urgency and reliability requirements of P&L-impacting systems.
Experience with Kubeflow, Airflow, or ML pipeline orchestration.
Experience with advanced Kubernetes networking, including CNI plugins, network policies, or service mesh.
Experience with Kafka or event-streaming platforms.
Experience operating on-premise infrastructure, including bare-metal servers, IPAM, and storage systems.
Thoughtful use of AI coding assistants and interest in AI-assisted operational tooling.
Culture & Benefits
Ownership of an end-to-end platform rather than ticket-based work, with direct impact on infrastructure used by trading desks.
Modern, high-scale on-premise Kubernetes, observability, and GitOps infrastructure in a high-performance trading environment.
Greenfield opportunities involving bare-metal Kubernetes, advanced observability, automated dependency mapping, and AI infrastructure.
Small, high-impact team with meaningful influence over platform direction.
Flexible vacation policy, retirement plan with employer match, and discretionary bonus eligibility.
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