DevOps Engineer, Professional Services R&D

About the Team

The Professional Services R&D team is a new, dynamic group at the forefront of innovation within Okta. Our mission is to design and build reusable, scalable assets and tools that empower our delivery teams and partners. By making customer engagements more efficient, streamlined, and cost-effective, we directly contribute to our customers' success and accelerate their time-to-value with Okta. This is a unique opportunity to join a strategic team from the ground up and shape the future of Okta's professional services.

Position Summary

As the DevOps Engineer for the R&D team, you will build and own the infrastructure and automation that enables us to develop and release software with speed and confidence. You will be responsible for creating and managing our CI/CD pipelines, defining our infrastructure as code, and ensuring our deployed assets are scalable, secure, and observable. You will be a key enabler of the team's agility, implementing the tools and processes that allow us to innovate and iterate quickly while maintaining a high bar for quality and reliability.

Responsibilities

• Design, build, and maintain the team's CI/CD pipelines to automate the build, test, and deployment of our software assets.
• Manage and provision cloud infrastructure using Infrastructure as Code (IaC) principles and tools (e.g., Terraform, CloudFormation).
• Implement and manage monitoring, logging, and alerting solutions to ensure the health and performance of our applications.
• Work with the development team to containerize applications (Docker) and manage container orchestration (Kubernetes, ECS).
• Ensure the security of our infrastructure and applications by implementing security best practices and automated checks.
• Automate operational tasks and processes to improve team efficiency and reduce manual effort.
• Champion DevOps culture and best practices within the engineering team.

Qualifications

• 3+ years of experience in a DevOps, Site Reliability Engineering (SRE), or related role.
• Extensive experience with at least one major cloud provider (AWS, Azure, GCP).
• Strong experience with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI).
• Proficiency with Infrastructure as Code (IaC) tools like Terraform or CloudFormation.
• Hands-on experience with containerization and orchestration technologies (Docker, Kubernetes).
• Proficiency in at least one scripting language (e.g., Python, Bash, Go).
• Experience with monitoring and observability tools (e.g., Prometheus, Grafana, Datadog, ELK Stack).
• A strong understanding of security and networking principles in a cloud environment.

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