Sr. Site Reliability Administrator

OpenText; Mississauga; On-site; CAD 132,000 - 196,000; Full time

Job summary

OpenText is hiring a Senior Site Reliability Engineer to join a globally distributed SRE team responsible for the reliability of data services powering SaaS products. You will work on components like Kafka, Elasticsearch, Cassandra, Solr, Redis, and OpenSearch across on‑prem and cloud environments (AWS, Azure, GCP).

The role emphasizes automation, reliability improvements, incident response, and collaboration with engineering teams to ensure high‑quality services.

Qualifications

• Bachelor's degree or equivalent practical experience in CS/Engineering or related field.
• 4+ years supporting large-scale enterprise IT systems.
• 2+ years operating distributed data platforms (Kafka/Elasticsearch/etc).
• 2+ years with Terraform and Ansible.
• Strong Linux administration skills.
• Experience with public cloud (AWS/Azure/GCP).
• Excellent written and verbal communication skills.

Responsibilities

• Operate, maintain, and scale distributed data services (Kafka, Elasticsearch, Cassandra, Solr, Redis, OpenSearch).
• Develop and maintain IaC using Terraform and Ansible.
• Support on-call rotations and incident response for critical services.
• Collaborate with SRE and engineering teams to design and monitor data platforms.
• Contribute to automation and reliability improvements across systems.
• Participate in capacity planning and performance tuning for data services.
• Create and maintain operational documentation and change plans.

Skills

Distributed systems

Linux administration

Public cloud

Terraform & Ansible

Observability tooling

Strong communication

Education

Bachelor's degree or equivalent

Tools

Terraform

Ansible

Prometheus

Grafana

New Relic

Job description

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.

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

As a Senior Site Reliability Engineer, you will play a key hands‑on role within a globally distributed SRE team responsible for the reliability, performance, and stability of the data services that power our customer‑facing SaaS products. You will work on well‑defined components of our distributed systems stack - such as Kafka, Elasticsearch, Cassandra, Solr, Redis, and OpenSearch - across both on‑premises and public cloud environments (AWS, Azure, GCP). This role is ideal for engineers who enjoy solving challenging operational problems, contributing to automation and reliability improvements, and collaborating across teams to support high‑quality services. You’ll deepen your expertise in distributed systems while helping the team execute on operational excellence.

What The Role Offers

• Operate, maintain, and scale distributed data services including Kafka, Elasticsearch, Cassandra, Solr, Redis, and OpenSearch.
• Build, enhance, and support infrastructure across on‑prem and public cloud environments (AWS, Azure, GCP).
• Develop and maintain Infrastructure‑as‑Code (IaC) using Terraform and Ansible.
• Apply patches, perform routine maintenance, and ensure systems remain secure and compliant with internal standards.
• Participate in the design, deployment, and monitoring of data platforms in collaboration with SRE and engineering teams.
• Support incident response activities and participate in the on‑call rotation for critical services.
• Assist with capacity planning, performance tuning, and health assessments of data services.
• Create and maintain documentation, including operational procedures, change plans, and incident reports.
• Contribute to automation and reliability initiatives that improve service performance and reduce manual work.
• Support service requests and help ensure SLA/OLA commitments are met.
• Participate in team knowledge‑sharing and training activities.
• May require shift work and participation in a 24x7 on‑call rotation.

What You Need To Succeed

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field - or equivalent practical experience.
• 4+ years of experience in Information Technology supporting large‑scale enterprise systems.
• 2+ years operating or supporting distributed data platforms (e.g., Kafka, Elasticsearch, Cassandra, Solr, Redis, OpenSearch).
• 2+ years working with automation and configuration tools such as Terraform and Ansible.
• Strong knowledge of Linux systems administration.
• Experience working with public cloud infrastructure (AWS, Azure, or GCP).
• Solid troubleshooting skills and ability to resolve complex technical problems.
• Excellent written and verbal communication skills.
• Self‑driven, detail‑oriented, and able to manage multiple tasks in a fast‑moving environment.
• Familiarity with ITIL processes; certification is a plus.
• Experience with observability tools (Prometheus, Zabbix, Grafana, New Relic, etc.) is a plus.

One Last Thing

OpenText is more than just a corporation, it's a global community where trust is foundational, the bar is raised, and outcomes are owned. Join us on our mission to drive positive change through privacy, technology, and collaboration. At OpenText, we don't just have a culture; we have character. Choose us because you want to be part of a company that embraces innovation and empowers its employees to make a difference.

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 submit a ticket at Ask HR. 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. 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:

$93,320-$138,480; 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.