Staff Site Reliability Engineer (Customer Identity Cloud)

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Overview

The Staff Site Reliability Engineer (Customer Identity Cloud) at Okta will play a vital role in ensuring the reliability, availability, and performance of our Customer Identity services. The successful candidate will work closely with cross-functional teams to design and implement robust software solutions, enhance system observability, and drive operational excellence while automating routine tasks. This position demands a blend of exceptional technical expertise, a solid understanding of cloud architecture, and a strong customer-focused mindset.

Job Responsibilities

• Design, develop, and implement scalable systems that ensure high availability of the Customer Identity Cloud services.
• Monitor system performance, troubleshoot issues, and implement effective solutions to prevent downtime.
• Develop automation tools and frameworks to enhance operational efficiency and security.
• Collaborate with software engineers to vet new features and enhancements, ensuring seamless deployment and integration.
• Build and maintain documentation related to system designs, operational processes, and incident response.
• Engage with stakeholders to define service level objectives (SLOs) and service level indicators (SLIs), ensuring accountability for system performance.
• Conduct post-incident reviews to identify root causes and preventive measures.
• Stay up-to-date with industry trends and emerging technologies to recommend improvements and innovations.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent work experience.
• A minimum of 7 years experience in site reliability engineering, DevOps, or a related discipline.
• Strong understanding of cloud computing concepts and services, particularly in AWS, Azure, or GCP.
• Proficient in programming languages such as Python, Go, or Java.
• Experience with container orchestration platforms like Kubernetes.
• Extensive knowledge of monitoring and observability tools and practices.
• Familiarity with infrastructure as code (IaC) tools, such as Terraform or CloudFormation.
• Excellent problem-solving skills and a proactive approach to system reliability.

Technologies & Tools

This position requires proficiency with a variety of modern technologies and tools including cloud platforms (AWS, Azure, GCP), containerization tools (Docker, Kubernetes), CI/CD pipelines (Jenkins, GitLab CI), monitoring solutions (Prometheus, Grafana), and scripting languages (Python, Bash). Familiarity with infrastructure as code tools such as Terraform or CloudFormation is also essential for success in this role.

Ideal Candidates

Ideal candidates will demonstrate strong analytical abilities and a commitment to operational efficiency. They should possess excellent communication skills, allowing them to work collaboratively within cross-functional teams and articulate complex concepts effectively. Additionally, a proactive and results-driven mindset, coupled with a passion for learning and adaptation in a fast-paced environment, will make a candidate stand out. Candidates should embrace a customer-centric approach and show resilience in addressing challenges and driving continuous improvement within the organization.