First American - Senior Platform Engineer II - Site Reliability/DevOps

About the Role :

We are seeking a Senior Platform Engineer II with a strong background in Platform Engineering, Site Reliability Engineering (SRE), DevOps, or Cloud Engineering. This is a hands-on engineering role focused on building platform services, automation solutions, AI-enabled engineering capabilities, integrations, and operational tooling that enable secure, reliable, and scalable software delivery.

Key Responsibilities:

- Design, develop, deploy, and operate platform automation, internal engineering tools, and platform services.

- Build production-quality services, APIs, workflows, and integrations using Python.

- Develop integrations with cloud platforms, security tools, GitHub, Jira, and other enterprise systems.

- Build automation for operational processes, infrastructure management, workflow orchestration, and developer enablement.

- Build AI-enabled capabilities for code analysis, workflow automation, vulnerability remediation, and engineering productivity.

- Develop and maintain Infrastructure as Code using Terraform and related automation frameworks.

- Design and support CI/CD pipelines using GitHub Actions, Azure DevOps, or similar platforms.

- Apply SRE practices including observability, incident response, SLIs, SLOs, and root cause analysis.

- Troubleshoot issues across applications, APIs, cloud infrastructure, CI/CD pipelines, and platform services.

- Improve platform reliability, scalability, security, performance, and operational efficiency through automation and engineering best practices.

Key Requirements :

- 8+ years of experience in Software Engineering, Platform Engineering, SRE, DevOps, Cloud Engineering, or related roles.

- Strong hands-on programming experience, preferably with Python.

- Experience designing and building production services, automation frameworks, APIs, developer tools, or platform solutions.

- Strong understanding of software design, debugging, error handling, and maintainable code.

- Experience integrating systems using REST APIs, webhooks, messaging systems, event-driven architectures, or workflow automation.

- Experience with Git, pull-request workflows, code reviews, and modern software development practices.

- Experience using AI-assisted engineering tools and integrating AI capabilities into applications or automation workflows.

- Experience with AWS, Azure, or another major cloud platform.

- Hands-on experience with Terraform, Infrastructure as Code, and CI/CD platforms such as GitHub Actions, Azure DevOps, Jenkins, or GitLab CI.

- Strong troubleshooting skills across applications, cloud infrastructure, networking, production systems, and SRE practices including monitoring, alerting, incident response, SLIs, and SLOs.

Nice to Have :

- Experience with vulnerability management or security automation platforms such as Snyk, StackHawk, Orca, or similar tools.

- Experience building AI-powered engineering solutions, intelligent automation platforms, or AI-assisted developer tools.

- Experience building internal developer platforms and self-service engineering capabilities.

- Experience with Kubernetes, containers, and cloud-native architectures.

- Familiarity with policy-as-code, compliance automation, and governance frameworks.

- Experience with observability platforms such as Datadog, Splunk, Grafana, Prometheus, or OpenTelemetry.