DevOps Engineer

Job Title: DevOps Engineer

Our Teams Mission

At SailPoint our Engineering team is on a mission to deliver a world-class cloud-native identity security the next 12 months our goal is to enhance our event-driven microservices architecture on Google Cloud Platform (GCP) to support a 25% increase in customer workload and reduce our incident response time by 50%. We are looking for a DevOps Engineer to join our team and play a critical role in achieving these objectives.

Your Impact in the First Year

As a DevOps Engineer you will be responsible for the reliability scalability and efficiency of our SaaS products. Your success will be measured by your ability to achieve the following:

• First 3 Months:Master our GitOps-based deployment pipelines. You will be expected to independently manage and troubleshoot deployments using ArgoCD and Kargo and contribute to the teams on-call rotation.

• First 6 Months:Enhance our CI/CD processes and workflow efficiency. You will lead the project to reduce average build and deployment times by 20% by optimizing GitHub Actions Helm charts and introducing initial AI-assisted automation.

• First 12 Months:Improve system scalability and reliability. You will design and implement infrastructure enhancements using Terraform to support a 25% increase in customer workload while maintaining a 99.9% uptime.
  

Core Responsibilities

• Deployment Pipeline Management:Build and maintain our GitOps-based deployment pipelines to ensure a 99% success rate for all deployments and reduce manual intervention by 30% within the first year.

• Infrastructure Management:Manage and scale our Kubernetes infrastructure on GCP with a goal of optimizing resource utilization to achieve a 15% cost reduction in our GCP spending over the next 18 months.

• Automation and CI/CD:Enhance and maintain our GitHub Actions CI/CD pipelines to decrease the lead time for changes to production by 25% within the first year.

• AI-Assisted Workflow Integration:Integrate AI-assisted tooling into day-to-day DevOps and engineering workflows to improve productivity scalability and operational efficiency. You will leverage AI tools to generate initial configuration drafts validate infrastructure code and utilize AI-driven automation to reduce repetitive manual tasks by 20% within the first 6 months accelerating engineering execution while maintaining high-quality standards.

• System Reliability:Proactively improve system reliability and availability with the objective of reducing the number of critical production incidents by 50% through improved monitoring logging and alerting within 12 months.
  

What Were Looking For

• 3 years in DevOps/SRE:You have proven experience in a high-growth SaaS environment and can hit the ground running to help us scale our platform.

• Google Cloud Platform (GCP):You possess a deep understanding of GCP services particularly GKE which is essential as our entire infrastructure is on GCP.

• ArgoCD and Kargo:You have hands-on experience with GitOps and progressive delivery which is key to our goal of achieving faster more reliable deployments.

• Kubernetes and Helm:You bring strong experience in managing and deploying applications on Kubernetes as you will be responsible for the container orchestration of our microservices.

• Terraform:You have expertise in infrastructure as code which will be crucial for our project to scale our infrastructure and reduce costs.

• Forward-Thinking Automation:You have a strong interest in or experience with leveraging emerging technologies including AI tools to modernize workflows validate code and eliminate repetitive manual tasks.