Lead Site Reliability Administrator

OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We are hiring talent AI can't replace to help us shape the future of information management. Join us.

Your Impact

Join the OpenText Cloud Services team as a Lead Site Reliability Engineer and help design, deploy, and support secure, scalable cloud environments that power our industry-leading SaaS and AI-enabled applications. In this role, you’ll play a critical part in delivering reliable cloud services to global customers, supporting our mission to make information work for everyone and every organization.

What You’ll Do

• Use modern cloud technologies, DevOps practices, and CI/CD tools to build and maintain infrastructure for OpenText SaaS applications.
• Troubleshoot and resolve complex issues quickly, ensuring clear communication and meeting service-level expectations.
• Manage and prioritize cloud design, deployment, and service requests.
• Collaborate with IT, Architecture, and Engineering teams on cloud projects.
• Help define cloud standards and architecture best practices.
• Share knowledge through documentation, training, and mentoring.
• Partner with Product Development and Architecture teams to optimize performance, cost, and efficiency.
• Stay flexible and open to taking on new projects as needed.

What You’ll Bring

• 5+ years of experience managing cloud operations and projects.
• Hands-on experience with AWS, GCP, or Azure.
• Strong background in managing high-traffic cloud environments and scaling infrastructure.
• Familiarity with Kubernetes (AKS, EKS, GKE) and CI/CD pipelines.
• Experience with tools like Terraform, Packer, and CloudFormation.
• Proficiency in scripting languages such as Python, YAML, JSON, BASH, or PowerShell.
• Knowledge of cloud security, IAM, and monitoring tools.
• Ability to troubleshoot and optimize cloud performance and costs.

ONE LAST THING

OpenText's commitment to diversity and inclusion surpasses legal requirements, evident in our Equal Employment Opportunity Statement of Policy which promotes a respectful and empowering environment for employees of all backgrounds, culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at [email protected]. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.

Compensation: At OpenText, we offer a thoughtfully designed benefits package that supports your physical, emotional, and financial wellbeing. A summary of those benefits can be found on our Why Join Us page. As you move through the hiring process, we’re happy to provide more details about our compensation programs, including variable and commission compensation opportunities for eligible roles, vacation entitlement, and paid time off.

Salary Range: $103,250 - $153,250; Depending on the candidate’s education, experience, skills, geographical location, and alignment with internal equity and external market, actual salary may vary and be higher or lower than the range posted.

AI Usage Disclosure: As part of our commitment to transparency, we use artificial intelligence (AI) tools to assist in various stages of our recruitment process, including resume screening, candidate matching, interview scheduling, and communications. These tools are designed to improve efficiency, reduce bias, and enhance candidate experience. All decisions regarding hiring are made by qualified human professionals, and we continuously monitor our AI systems to ensure fairness and compliance with applicable regulations.