8 days ago

Cloud Platform Engineer

Farmers Insurance

Hybrid
Full Time
$150,000
Hybrid

Job Overview

Job TitleCloud Platform Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$150,000
LocationHybrid

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Job Description

Cloud Platform Engineer at Farmers Insurance

At Farmers Insurance, we're not just known for our unforgettable jingle; we're a team with a passion for purpose, making a real difference in people's lives by delivering peace of mind. Our results-driven, high-performance culture thrives on creativity, accountability, and bold solutions. Growth isn't just a goal here – it's a way of life for both the organization and every individual on our team. We tackle challenges head-on, learn from every experience, and measure our impact on the customers who trust us.

Join an award-winning, equal opportunity employer, where you'll find more than a job – you'll find a supportive community. Enjoy competitive benefits, take part in meaningful volunteer projects, and help shape the future alongside talented colleagues across all backgrounds. At Farmers, helping others is at the heart of what we do.

Ready to make your mark? Discover our vibrant culture and explore career opportunities at www.Farmers.com/careers/corporate.

Workplace

Farmers believes in a culture of collaboration, creativity, and innovation, which thrives when we have the ability to work flexibly in a virtual setting as well as the opportunity to be together in person. Our hybrid work environment combines the best of both worlds with at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office. Applicants beyond fifty (50) miles may still be considered.

Job Summary

The Cloud Platform Operations team at Farmers Insurance is responsible for the analysis, design, implementation, and operational support of multi-cloud infrastructure across GCP (Google Cloud Platform), Azure (Microsoft cloud), and AWS. This team ensures platform availability, scalability, and compliance of multi-clouds while driving AIOps/FinOps and autonomous infrastructure management. The Cloud Platform Engineer role focuses on leveraging Multi-Cloud AI offerings to drive operational reliability, predictive monitoring, and continuous optimization to maintain high availability and resilience in production environments. This role ensures all solutions adhere to established architectural design patterns, governance standards, and security controls for high complexity configurations. As a Senior Cloud Platform Engineer, you will specialize in methodologies, various programming languages, Infrastructure as Code platforms, and designing and operating AI-optimized cloud environments.

What You'll Do

  • Ensure availability, scalability, reliability, and security of cloud platforms and services.
  • Design, deploy, and govern AI-powered agents (e.g., using Azure Copilot/AWS Bedrock) to achieve autonomous self-healing capabilities and automated resource management.
  • Handle regular operational requests with hands-on experience using Terraform for EC2 changes, S3 updates, user access management, and managed services like SageMaker, Bedrock, Storage Gateway, RDS, and Transfer Family etc.
  • Supervise and refine AI-generated Infrastructure-as-Code (IaC) (Terraform/Ansible) for developing and maintaining complex and scalable Terraform/Ansible/CloudBees (Jenkins) automation pipelines to provision, deploy, patch, and manage cloud infrastructure.
  • Implement AI based automation solutions for Cloud Operations to monitor performance, scalability, and respond to incidents and operational issues autonomously.
  • Implement GenAI tools to perform real-time Root Cause Analysis (RCA), correlate complex event data (logs, metrics), and auto-generate runbooks and incident summaries.
  • Develop and train predictive ML models to analyze historical telemetry and forecast potential system outages or performance bottlenecks and configure proactive monitoring and alerting for critical services.
  • Manage security and compliance by utilizing AI agents to detect configuration drift and auto-generate compliant updates for IAM, network, and security policies.
  • Manage security and compliance by remediating vulnerabilities, configuring notifications, supporting audits, and maintaining certifications and governance standards.
  • Collaborate with application, architecture, AIOps, FinOps, and security teams to ensure production readiness.
  • Lead proof-of-concepts, implement new cloud services, and adapt quickly to new cloud releases and features to enhance operational capabilities.
  • Understand middleware components to provide end-to-end production support and troubleshoot complex operational scenarios.
  • Work with application teams, analyzing logs and data, open service requests, work with vendors, partners, and drive problem resolution.
  • Review architectural designs for applications to ensure reliable and performant design patterns are implemented.
  • Gain hands-on experience in deploying applications, workloads, and data to the cloud environment, often involving migration from on-premises infrastructure or other cloud providers.
  • Possess advanced experience working with Finance and procurement teams and implement cost optimization strategies based on changing workload patterns, business requirements, and new offerings from cloud providers.

What You'll Bring

  • 5 years of experience in public cloud operations (AWS, Azure, GCP), with a strong focus on AIOps integration.
  • Deep, demonstrable expertise designing and operationalizing solutions leveraging AWS Bedrock/Agent Frameworks and Azure Copilot for Cloud Operations.
  • Expertise in Infrastructure as Code (Terraform, CloudFormation), Ansible, and CI/CD pipelines, including supervising AI-generated infrastructure artifacts.
  • Proficiency in scripting languages (Python, Bash).
  • Expertise in integrating observability platforms (Dynatrace, Prometheus) into AI/ML platforms for predictive analysis and anomaly detection.
  • Understanding of Site Reliability Engineering (SRE) and operational reliability principles.
  • Experience with monitoring tools (CloudWatch, Prometheus, Dynatrace, Azure Monitor) and ServiceNow.
  • Ability to adapt to new cloud releases and emerging technologies.
  • Excellent troubleshooting, problem-solving, and communication skills.
  • Hands-On experience on Jboss, Tomcat, IBM WAS, Oracle, DB2, MSSQL and Postgres is a plus.

Education Requirements

  • Bachelor’s degree in computer science or other technical discipline.
  • Technical Certifications are a plus.

Benefits

Farmers Insurance offers a competitive salary commensurate with experience, qualifications and location. Benefits include a bonus opportunity, 401(k), Medical, Dental, Vision, Health Savings and Flexible Spending Accounts, Life Insurance, Paid Time Off, Paid Parental Leave, and Tuition Assistance.

Key skills/competency

  • Multi-cloud Management
  • AIOps Integration
  • Infrastructure as Code (IaC)
  • Terraform
  • AWS Bedrock
  • Azure Copilot
  • CI/CD Pipelines
  • Predictive Monitoring
  • Site Reliability Engineering (SRE)
  • Cloud Security Compliance

Tags:

Cloud Platform Engineer
Multi-cloud
AIOps
FinOps
IaC
Automation
SRE
Security
Compliance
Monitoring
Troubleshooting
GCP
Azure
AWS
Terraform
Ansible
Python
CloudFormation
Dynatrace
Prometheus
ServiceNow
AWS Bedrock
Azure Copilot

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How to Get Hired at Farmers Insurance

  • Research Farmers Insurance culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume: Highlight extensive experience in multi-cloud operations, AIOps integration, and Infrastructure as Code.
  • Showcase AI/ML proficiency: Emphasize practical experience with AWS Bedrock, Azure Copilot, and predictive monitoring solutions.
  • Prepare for technical deep-dives: Be ready to discuss Terraform, Ansible, CI/CD pipelines, and Site Reliability Engineering principles in detail.
  • Demonstrate problem-solving acumen: Share concrete examples of how you've resolved complex operational issues and driven continuous optimization.

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