Senior DevOps Cloud Engineer AI

Job Summary

The future is bright for the Porch Group, and we’d love for you to be a part of it as our Senior DevOps Cloud Engineer AI. Help us build world-class infrastructure in the public cloud, mainly GCP. We are seeking a Senior DevOps Cloud Engineer AI with a strong focus on AI-enabled platforms and automation to design, build, and operate highly scalable, secure, and intelligent cloud infrastructure.

As a Senior DevOps Cloud Engineer AI, you will be responsible for designing, building, and operating highly scalable, secure, and intelligent cloud infrastructure, maintaining and improving the reliability and performance of our company’s technology stack. You will work closely with development teams to design scalable and highly reliable software systems. You will play a critical role in optimizing CI/CD pipelines using AI insights, and leveraging automation to improve reliability, performance, and cost efficiency across cloud environments.

Your role will involve identifying and resolving complex issues before they impact customers, implementing automation to streamline our operations, and advocating for best practices in reliability, scalability, and maintainability. Additionally, you will lead efforts to improve monitoring and alerting processes to ensure proactive response to potential issues. As a senior member of the team, you will mentor junior engineers, drive technical initiatives, and collaborate across departments to achieve our reliability goals.

What You Will Do As A Senior DevOps Cloud Engineer AI

• Build infrastructure/systems that balance operational excellence, security, reliability, performance efficiency, and cost optimization.
• Improve the observability of our systems to anticipate and address issues before they become critical, leveraging strategies like infrastructure as code, system operational and health metrics, CI/CD pipelines, and infrastructure automation.
• Contribute to DevOps roadmaps, helping balance priorities like modernizing past infrastructure, supporting new projects and deployments, and improving/hardening systems where it is needed most.
• Integrate AI-powered tools into DevOps workflows for Predictive monitoring, Anomaly detection, Intelligent alerting, and Auto-remediation.
• Leverage AI/ML insights to optimize: CI/CD pipelines, Deployment strategies, Infrastructure performance, and cost.
• Build and maintain self-healing systems using AI-based observability platforms.
• Support our initiatives for modernizing/centralizing our cloud footprint in partnership with business, analytics, software, InfoSec, and data science teams.
• Design and enforce SDLC & Infosec & Compliance requirements.
• Assist with root cause analysis/remediation for system incidents.
• Provide support to the engineering team in basic database operations (Postgres, SQL Server) in running SQL scripts, creating database objects, and troubleshooting performance and connection issues.
• Implement Infrastructure as Code (IaC) using Terraform.
• Provide 24x7x365 monitoring, incident response, and on-call support as part of the DevOps team.

What You Will Bring As A Senior DevOps Cloud Engineer AI

• Bachelor's degree in Computer Science, Software or System Engineering preferred or equivalent experience.
• 8+ years of relevant experience.
• Expertise with cloud-based systems and containerized infrastructure (Linux/OS fundamentals, Kubernetes, Database systems, Cloud networking).
• Deep expertise with GCP required, with significant expertise with two+ (GCP and Azure) preferred.
• Experience supporting AI/ML platforms and experience integrating AI-powered DevOps tools.
• Familiarity with LLM-based systems, vector databases, or AI APIs.
• Expertise building common Web/Internet platform components (e.g., proxies, caches, load balancers, firewalls, app/web server tiers, DB systems).
• Unix scripting experience required and a willingness to learn/support those you may not presently know.
• Conceptual and practical knowledge with modern DevOps techniques, such as CI/CD, IaC, Configuration Management, Secrets/Vault management.
• Expertise in troubleshooting that spans systems, network, and applications in a distributed/microservice environment.
• Experience with databases like Postgres and SQL Server.
• Exposure to Azure technologies like ADF, ADF Linked Services, Azure Key Vault, Azure managed identities, and Azure DevOps.
• Proven experience working with US-based business teams.
• Excellent written and communication skills in the English language.
• Ability to work within core US business hours / time zone expectations - Eastern Standard Time (EST) overlap.
• Workspace: A quiet space to work, an internet connection of at least 30 Mbps download | 10 Mbps upload.

Key skills/competency

• Cloud Infrastructure
• GCP
• Kubernetes
• AI/ML Platforms
• CI/CD Pipelines
• Terraform
• DevOps Automation
• System Reliability
• Troubleshooting
• Postgres & SQL Server