
11 - 50 funcionários
💼 Consultoria
📦 Logística
🤖 Inteligência Artificial
💰 $100.000.000 Series A em 2021-06
Consulting • Logistics • Artificial Intelligence
A Climavision é uma empresa inovadora de inteligência meteorológica que revoluciona a previsão do tempo por meio de sua avançada suíte de produtos e serviços alimentados por IA. Com foco em precisão e personalização, a Climavision oferece informações meteorológicas hiperprecisas para diversas indústrias, incluindo agricultura, energia e transporte. Seus inovadores modelos Horizon AI integram diversas fontes de dados, permitindo que empresas e agências governamentais tomem decisões informadas ao antecipar riscos relacionados ao clima e otimizar operações.
🕒 Ontem
🇺🇸 Estados Unidos – Remoto (EUA)
💵 $130.000 - $170.000 / ano
⏰ Tempo Integral
🟠 Sênior
⛑ DevOps & Engenheiro de Confiabilidade do Site (SRE)
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

11 - 50 funcionários
💼 Consultoria
📦 Logística
🤖 Inteligência Artificial
💰 $100.000.000 Series A em 2021-06
Consulting • Logistics • Artificial Intelligence
A Climavision é uma empresa inovadora de inteligência meteorológica que revoluciona a previsão do tempo por meio de sua avançada suíte de produtos e serviços alimentados por IA. Com foco em precisão e personalização, a Climavision oferece informações meteorológicas hiperprecisas para diversas indústrias, incluindo agricultura, energia e transporte. Seus inovadores modelos Horizon AI integram diversas fontes de dados, permitindo que empresas e agências governamentais tomem decisões informadas ao antecipar riscos relacionados ao clima e otimizar operações.
• Own production reliability for customer-facing platform and data services across Azure, colocation, and edge Kubernetes environments. • Support the shared SRE function across the radar network and weather intelligence business. • Define and improve SLIs, SLOs, alerting standards, and operational metrics. • Build and own fleet observability through shared dashboards and proactive alerting. • Design and build automated recovery and self-healing for production systems. • Optimize cluster resources and costs, including right-sizing workloads and nodes and migrating workloads off Azure. • Coordinate production incident response, including troubleshooting, mitigation, communication, and postmortem analysis. • Diagnose and resolve complex issues across application services, Kubernetes infrastructure, storage, and distributed systems. • Drive multi-replica and multi-cluster high availability, including workload placement, scheduling, failover, traffic routing, and data replication. • Operate and improve self-managed Kubernetes platforms across cloud-hosted, colocation, and edge clusters. • Execute Kubernetes upgrades, patching, cluster health, node management, and production change management. • Improve observability, autoscaling, ingress, distributed storage, resiliency, and operational performance. • Design and validate Kubernetes workloads for resiliency, scalability, efficiency, and graceful degradation. • Partner with software engineering teams on production readiness, deployment safety, and operational visibility. • Maintain deployment pipelines, Helm charts, Kubernetes manifests, and infrastructure automation. • Support metrics, logging, distributed tracing, dashboarding, and alerting platforms. • Conduct performance engineering and capacity planning for peak weather-event demand. • Facilitate blameless postmortems and complete operational follow-up items. • Improve disaster recovery, failover, and business continuity capabilities. • Drive automation, toil reduction, game days, production readiness reviews, and reliability best practices. • Mentor teams on reliability engineering and production operations practices. • Participate in rotating weekday and weekend on-call schedules.
• A bachelor's degree in computer science, software engineering, or a related field; equivalent professional experience considered. • Minimum of 7 years of experience in Site Reliability Engineering, DevOps, Production Engineering, Platform Engineering, or a related infrastructure-focused role, with at least 4 years in a role formally titled Site Reliability Engineer or carrying explicit SLO / error-budget accountability. • Deep, hands-on experience operating native Kubernetes; managed distributions such as AKS and EKS are acceptable, but native or self-managed Kubernetes is strongly preferred and is the primary technical requirement. • Experience optimizing Kubernetes clusters, including right-sizing workloads and node pools, resource management, and reducing infrastructure cost without sacrificing reliability. • Experience increasing operational visibility, including building dashboards, metrics pipelines, and alerting. • Experience designing and operating workloads for safe horizontal scaling across multiple replicas, including idempotency, concurrency, and state handling. • Experience designing or operating multi-cluster high-availability architectures, including failover behavior, traffic routing, and cross-cluster service deployment. • Experience supporting customer-facing production systems with uptime, reliability, and incident-response responsibilities. • Experience diagnosing and resolving production incidents across application, platform, and Kubernetes infrastructure layers. • Experience operating Kubernetes outside strictly managed cloud environments, including bare-metal, colocation, edge, or hybrid infrastructure. • Experience with Kubernetes operational tooling and ecosystem technologies such as Rancher, Helm, autoscaling frameworks, observability stacks, or distributed storage systems. • Strong understanding of infrastructure automation and Infrastructure as Code using tools such as Terraform and Ansible. • Experience supporting CI/CD and production deployment pipelines; GitHub Actions is used for CI/CD. • Experience with monitoring, logging, and observability platforms such as DataDog, Prometheus, Grafana, Loki, OpenTelemetry, or comparable technologies. • Experience operating distributed systems and microservice-based architectures in production. • Working knowledge of Microsoft Azure infrastructure. • Strong troubleshooting skills across infrastructure, application, and platform layers. • Experience participating in a structured production on-call rotation supporting business-critical systems. • Working familiarity with Jira, Confluence, and Microsoft Entra. • Strong written and verbal communication skills, including incident documentation and postmortem authoring. • Experience working in start-up, scale-up, or other fast-moving engineering environments. • Ability to complete a background check to company standard. • Willingness to participate in separate rotating weekday and weekend on-call schedules.
• Benefits of a dynamic and growing organization • A challenging, hands-on role that will have real impact on the business • Competitive compensation • Comprehensive benefits package • 401(k) Savings Plan • Medical/Dental/Vision Benefits • Health Savings Account (HSA) and Flexible Spending Account (FSA) • Unlimited Paid Time-off • 11 Paid Holidays • Paid Parental Leave • Company Paid Short-term Disability (STD) • Company Paid Long-term Disability (LTD) • Company Paid Life Insurance
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