Sr. Manager, Site Reliability Engineering

Sr. Manager, Site Reliability Engineering

Open Text is a global leader in information management, known for innovation, creativity, and collaboration. This role offers the opportunity to contribute to digital transformation projects and work with leading organizations worldwide.

You will manage a globally distributed team of Site Reliability Engineers focused on delivering automation‑first solutions for distributed data services that power Open Text’s SaaS products. Your primary responsibility is managing technologies such as Elasticsearch, Open Search, Cassandra, Kafka, Redis, Rabbit

MQ, and Solr for multi‑tenant cloud applications, leveraging Infrastructure‑as‑Code (Terraform), deployment automation tools like Ansible, and CI/CD pipelines (Git Lab). You will also explore AI‑driven approaches to optimize automation and operational efficiency, champion automation practices that reduce operational toil, and improve reliability across diverse operational areas.

• Lead automation‑first delivery for distributed data services (Elasticsearch, Cassandra, Kafka, Redis, Rabbit
  
  MQ, Solr) supporting multi‑tenant cloud applications.
• Drive reusable automation solutions using methods such as Infrastructure‑as‑Code (Terraform), deployment automation tools (Ansible), and CI/CD pipelines (Git Lab).
• Champion automation standards and best practices, enabling consistency, scalability, and security.
• Explore AI‑driven approaches to optimize automation, enhance reliability, and predict operational issues.
• Evaluate and adopt new data service technologies based on business needs, scalability, and operational fit.
• Collaborate cross‑functionally with product management, application engineering, and operations teams to identify high‑value automation opportunities.
• Manage lifecycle of distributed data services, including provisioning, scaling, patching, and failover, with a strong emphasis on automation.
• Manage the on‑call rotation of the team, ensuring 24x7x365 support coverage is provided.
• Manage third‑party providers, including consultants for expertise and escalation support, and SaaS vendors whose services we operate.
• Mentor and develop engineers, fostering a culture of innovation and continuous improvement.
• Measure and optimize service performance, reliability, and cost efficiency through telemetry and automation.
• Ensure compliance and security are embedded in all automation workflows.
• Support incident resolution and problem management, leveraging automation for faster recovery and root cause analysis.

• BS/MS degree in Computer Engineering, Computer Science, or related field.
• 8+ years of experience in large‑scale cloud or distributed systems environments.
• 5+ years of people management experience, building and leading high‑performing technical teams.
• Proven experience designing and delivering automation solutions for infrastructure and operations, including Infrastructure‑as‑Code and CI/CD practices.

• Proven experience managing distributed data services such as Elasticsearch, Open Search, Cassandra, Kafka, Redis, Rabbit
  
  MQ, or Solr.
• Strong proficiency in automation methods including Infrastructure‑as‑Code (Terraform), deployment management tools (Ansible), CI/CD pipelines (Git Lab preferred), and other automation frameworks.
• Experience with private and public cloud platforms (AWS, GCP, Azure, VMware) and container orchestration (Kubernetes, Anthos).
• Familiarity with cloud‑native data services (e.g., AWS Elasti Cache, Google Pub/Sub, Memory store, Confluent Cloud) and managed offerings.
• Solid understanding of Linux systems and networking fundamentals.
• Familiarity with AIOps concepts for operational optimization and predictive analytics.

• Ability to define automation standards and drive adoption across multiple teams.
• Experience managing vendor relationships, including consultants and SaaS providers.
• Strong collaboration skills with cross‑functional teams (product, engineering, operations).
• Excellent communication and stakeholder management skills.

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