Looking for an exciting, diverse and challenging new role with a global impact? Join a modern technology team of one of the largest professional services firms that delivers cutting-edge digital products and AI solutions.

The Opportunity

At PwC, we help global businesses, not-for-profits and governments create value and improve the way they work. From improving healthcare, to creating smarter cities and igniting start-up industry, you’ll build trust in society and solve important problems.

The team consists of highly experienced designers, developers, data scientists and analysts who are responsible for delivering digital products and AI solutions.

Job Description:

Seniority: Senior with 9+ years of relevant experience

Responsibilities:

• Maintain cutting-edge knowledge of GenAI technologies and DevOps practices to continually advance our capabilities and recommend innovative enhancements.
• Design, implement, and manage CI/CD pipelines to automate software delivery processes.
• Develop and maintain infrastructure as code using Terraform, Pulumi.
• Implement and orchestrate containerization solutions using Docker and Kubernetes.
• Optimize and manage cloud infrastructure on Azure platform.
• Monitor system performance and troubleshoot issues using tools such as Prometheus and Grafana, Datadog, Splunk, etc.
• Enforce and enhance security protocols and best practices to safeguard GenAI systems and data.
• Collaborate with development and operations teams to ensure seamless integration and performance.
• Participate in technical reviews, contributing to team knowledge sharing and continuous improvement initiatives.
• Document processes, configurations, and architectures to maintain clarity and knowledge transfer.

Requirements:

• Proven experience: Minimum of 9 years in DevOps or a related field.
• Proficiency in CI/CD tools (e.g., Azure DevOps, GitHub Actions, Jenkins, GitLab CI).
• Strong skills in infrastructure as code tools (e.g., Terraform, Pulumi, Bicep).
• Deep knowledge of containerization technologies (e.g., Docker, Kubernetes).
• Expertise in cloud platforms and DevOps services (e.g., Azure mainly).
• Extensive experience with Azure AI technologies, including Azure Kubernetes, Azure OpenAI, Azure EventHub, and Azure Data Lake, among others.
• Expertise in Azure DevOps Pipeline (CICD) and similar automation tools.
• Familiarity with monitoring and logging tools (e.g., Prometheus, Grafana, Datadog).
• Proficient scripting skills in languages such as Powershell, Bash and Python.
• University degree in Computer Science, Engineering, or a related field.
• Excellent problem-solving abilities and attention to detail.
• Strong communication and collaboration skills.
• Ability to lead projects effectively.