Senior Platform Engineer II

Company Summary First American (India) is a GCC (Global Capability Center) of the First American Financial Corporation (NYSE: FAF) family of companies. FAI is a proud member of the FORTUNE 500 companies and has been amongst the Fortune 100 Best Companies to Work For® list for eight consecutive years. First American Financial Corporation provides comprehensive title insurance, closing/settlement, property data and technology solutions. First American (India) creates quality solutions for its customers by combining software, back office, and knowledge processing operations to fulfill First American's business requirements. Our priorities are our employees, customers, and shareholders - in that order. First American (India) has been ranked amongst India's Best Companies To Work For™ 2023: Listed amongst the Top 100 by Great Place To Work® India, FAI is also certified Best Workplaces for Women and Workplace with Inclusive Practices. Software Services helps build First American's product suite that encompasses the best in class Title Insurance, Settlement and Mortgage solutions platforms. Leverages technology product stack across Microsoft platform predominantly to develop, enhance and maintain the best in class applications. The R & D division delivers solutions for the title insurance industry leveraging the best of NLP, AI and ML. Job Summary About the Role We are looking for a Senior Platform Engineer with at least 7 years of experience to join our Platform Engineering team, with a strong focus on observability. In this role, you will build, operate, optimize, and enhance the platforms that provide visibility into our applications and infrastructure. You will work closely with Staff and Principal Engineers who define architecture and technical direction, and you will be responsible for implementing, operating, and continuously improving observability solutions across the organization. Key Responsibilities 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 — including integration guidance, pipeline configuration, and validation of data quality. Provide product support to internal teams — troubleshoot telemetry ingestion issues, query performance problems, missing or incorrect data, and platform usage questions. 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. Key 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 (e.g., 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. Consistently demonstrated ability to build, operate, troubleshoot, and improve production-grade platform solutions. Experience implementing SLIs, SLOs, alerting standards, and reliability monitoring. Nice to Have Experience with modern observability tooling such as Grafana, Prometheus, ClickHouse, or pipeline/stream processing platforms. Experience with log/metric/trace collectors and streaming technologies (e.g., Fluent Bit, 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. FAI is committed to create an environment that respects, supports and inspires all individuals. We do not discriminate on the basis of color, religion, sex, gender identity, sexual orientation and age. At FAI, we celebrate diversity and believe that an inclusive workforce benefits employees, the organization and our community. We are an Equal Opportunity Employer. For more information about our company and dedication to putting People First, check out .