Staff Site Reliability Engineer - Ecosystem

Secure Every Identity, from AI to Human

Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence.

This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk.

What You'll Be Doing

• Design, build, and operate highly scalable, reliable, and secure infrastructure powering our production systems across AWS and GCP.
• Lead major reliability and modernization initiatives, including container platform migrations and microservice enablement across multi-cloud environments.
• Serve as a technical authority in Kubernetes, cloud infrastructure, and modern CI/CD practices.
• Partner with development teams to architect and enable microservice-based applications, ensuring production readiness, scalability, and observability.
• Implement and manage infrastructure as code to automate provisioning, scaling, and configuration management across multiple cloud providers.
• Drive improvements in observability, performance, and cost efficiency through robust monitoring, logging, and alerting systems.
• Champion SRE best practices, defining SLOs/SLIs, conducting blameless postmortems, and continuously improving incident response.
• Lead complex technical projects from conception to completion, managing timelines and technical dependencies across teams.
• Mentor engineers across teams, fostering a culture of reliability, automation, and continuous learning.
• Collaborate with security and compliance partners to ensure infrastructure adheres to best practices and standards.
• Participate in the on-call rotation, using incidents as learning opportunities to enhance systems and processes.

What You'll Bring to the Role:

• Strong hands-on experience architecting and operating cloud-native distributed systems.
• Deep expertise with Kubernetes, design, provisioning, scaling, and advanced troubleshooting in production.
• Proven experience leading ECS to EKS/GKE migrations and driving microservice enablement initiatives at scale.
• Proficiency with Infrastructure as Code tools such as Terraform, Ansible, or CloudFormation.
• Solid coding and scripting ability in Python, Go, or Shell, with a focus on automation, tooling, and operational excellence.
• Advanced understanding of CI/CD pipelines, Linux systems, and networking fundamentals.
• Experience managing databases and caching systems in cloud environments.
• Hands-on experience with observability tools for performance and reliability insights.
• Working knowledge of container security, secrets management, and compliance in production environments.
• Strong communication and problem-solving skills, with demonstrated success leading cross-team projects and mentoring peers.

Experience:

• 8+ years in SRE, DevOps, or Infrastructure Engineering roles.
• 3–5 years of experience with Kubernetes and related ecosystem tools in production.
• 3–5 years of experience with AWS and GCP.
• 3–5 years using Terraform to manage multi-cloud infrastructure.
• 3+ years of coding experience in Python, Go, or similar languages.
• Proven track record leading high-impact projects, specifically migration projects and enabling microservice architectures.
• Experience implementing SLOs/SLIs, performing root cause analyses, and improving operational resilience.
• Prior work in SaaS or high-scale, cloud-native environments is a strong plus.
• Strong Linux and security fundamentals.
• Bachelor's degree in Computer Science or equivalent hands-on experience.