Senior Platform Engineer

Vaga não está no LinkedIn

🕒 Agosto 13

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟠 Sênior

🏗️ Engenheiro de Plataforma

👻 Score fantasma 15%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of First American (India)

First American (India)

1001 - 5000 funcionários

Fundada em 1994

🛡️ Seguros

💼 Consultoria

🏥 Saúde

💰 $450.000.000 Post-IPO Debt - First American em 2024-09

Insurance • Consulting • Healthcare

A First American (India) é um Centro de Capacitação Global (GCC) da First American Financial Corporation que oferece serviços de desenvolvimento de software, dados e análises, back office e processamento de conhecimento para apoiar operações de seguro de título, serviços de regularização, soluções de hipoteca e gerenciamento de riscos relacionados nos EUA, Reino Unido, Austrália e Canadá. Com localidades em Bangalore, Hyderabad e Salem, a FAI oferece serviços corporativos de TI e produção para sua empresa-mãe e enfatiza uma cultura centrada nas pessoas, reconhecida como um dos melhores locais para trabalhar.

Descrição

• Build, operate, maintain, and enhance enterprise observability platforms for applications and infrastructure • Operate and optimize observability backends, ingestion pipelines, agents/collectors, and data lifecycle management • Implement observability solutions and standards defined by Staff and Principal Engineers • Build and maintain telemetry pipelines for logs, metrics, traces, and events • Lead telemetry and data onboarding for applications, infrastructure, Kubernetes, cloud, and platform teams • Provide product support to internal teams by troubleshooting telemetry ingestion, query performance, data quality, and platform usage issues • Monitor and improve platform availability, performance, capacity, scalability, and reliability • Troubleshoot complex production issues related to telemetry ingestion, processing, storage, indexing, and query performance • Optimize data stores, retention policies, indexing strategies, and storage utilization • Build and maintain dashboards, alerts, integrations, and operational tooling • Automate platform provisioning, configuration, and deployments using Infrastructure as Code and CI/CD • Partner with Application, SRE, Infrastructure, and Security teams to improve telemetry quality, coverage, and incident response

🎯 Requisitos

• 7+ years of hands-on experience in Platform Engineering, DevOps, SRE, Infrastructure Engineering, or Observability Engineering • Strong hands-on experience with at least one major observability stack, such as Elastic, Grafana, Datadog, Splunk, or equivalent • Experience operating and troubleshooting production observability platforms at scale • Strong understanding of logs, metrics, distributed tracing, telemetry pipelines, and core observability concepts • Experience onboarding telemetry/data sources and supporting internal customers through integration and troubleshooting • Hands-on experience with Kubernetes, containers, Linux, networking, and cloud infrastructure • Familiarity with OpenTelemetry or similar instrumentation and collection frameworks • Advanced troubleshooting skills across applications, infrastructure, and distributed systems • Hands-on experience with Infrastructure as Code tools such as Terraform • Experience building CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools • Hands-on automation and scripting experience using Python, Go, Bash, or similar languages • Experience with performance tuning, capacity planning, data lifecycle management, and platform optimization • Working knowledge of telemetry collection, signal processing, cross-signal analysis, alerting, and production troubleshooting • Ability to build, operate, troubleshoot, and improve production-grade platform solutions • Experience implementing SLIs, SLOs, alerting standards, and reliability monitoring • Experience with modern observability tooling such as Grafana, Prometheus, ClickHouse, or pipeline/stream processing platforms • Experience with log/metric/trace collectors and streaming technologies such as Fluent Bit and Kafka • Experience with high-volume telemetry environments and cost optimization • Experience with GitOps workflows and observability-as-code practices • Experience creating onboarding documentation, runbooks, and self-service guidance for platform users

🏖️ Benefícios

• Equal Opportunity Employer • Inclusive workforce and diversity-focused work environment

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