Senior Platform Engineer

🕒 August 13

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🏗️ Platform Engineer

👻 Ghost score 19%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 90 days.
• Jobs at this company usually fill in 55 days.
• No salary listed.

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First American (India)

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1994

🛡️ Insurance

💼 Consulting

🏥 Healthcare

💰 $450M Post-IPO Debt - First American on 2024-09

Insurance • Consulting • Healthcare

First American (India) is a Global Capability Center (GCC) of First American Financial Corporation that provides software development, data & analytics, back-office, and knowledge-processing services to support title insurance, settlement services, mortgage solutions and related risk-management operations across the US, UK, Australia and Canada. With locations in Bangalore, Hyderabad and Salem, FAI delivers corporate IT and production services for its parent company and emphasizes a people-first culture recognized as a top workplace.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

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

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