DevOps Engineer

Company Description

About Sutherland

Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.

Sutherland

Unlocking digital performance. Delivering measurable results.

Job Description

Key Responsibilities:

• Design, build, and maintain CI/CD pipelines on using Azure DevOps
• Implement and manage Infrastructure as Code (IaC) using Azure CLI, Kafka ZooKeeper, Terraform, Ansible, or CloudFormation
• Monitor and optimize system performance, availability, and scalability
• Lead incident response, root cause analysis, and resolution of critical issues
• Collaborate with development, QA, and operations teams to streamline deployment processes
• Automate repetitive tasks to improve operational efficiency
• Ensure DevSecOps practices (OWASP, SonarQube) are embedded in the development lifecycle
• Support cloud infrastructure (AWS, Azure, or GCP) and container orchestration (Docker, Kubernetes)
  
  

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 2+ years of hands-on experience in DevOps
• Strong scripting skills in Python, Bash, or Ruby
• Proficiency with cloud platforms (AWS, Azure, or GCP)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Deep understanding of networking, security, and system administration
• Familiarity with monitoring tools like Prometheus, Grafana, ELK Stack, or Datadog Excellent problem-solving and communication skill
  
  

Additional Information

All your information will be kept confidential according to EEO guidelines.