Senior DevOps Engineer

The engineering organisation is a dynamic group of builders, problem-solvers, and infrastructure innovators dedicated to delivering scalable, secure, and AI-powered platforms that elevate how organizations work. We value resilient architecture, automation-first thinking, and a culture of continuous improvement. Every engineer here plays a key role in shaping the reliability, security, and operational excellence of our products.

Responsibilities:

• Design, develop, and maintain infrastructure, including architecting and implementing robust infrastructure to support CPQ (Configure, Price, Quote) products, ensuring dependability and scalability throughout the lifecycle.
• Develop and test software applications, including writing, testing, and refining software in Python, adhering to company requirements and best practices for maintainable and efficient code.
• Build, deploy, and manage applications using container technologies such as Docker and orchestration tools like Kubernetes, optimising for automation and scalability.
• Manage and evolve infrastructure across Google Cloud Platform (GCP), Azure, and AWS, utilising native services for high availability, resilience, security, and multicloud interoperability.
• Apply core concepts such as software development lifecycles, automation, and scalable architecture in every stage of product delivery.
• Develop secure architecture, conduct code reviews for security vulnerabilities, and institute thorough software verification and testing procedures.
• Oversee deployment, monitoring, and maintenance of the CPQ suite of microservices, including several AI-driven components, ensuring reliable operations across environments.
• Collaborate with AI/ML teams to deploy and support intelligent microservices, gaining hands-on experience with data science implementations and real-world applications.
• Perform routine and advanced tasks on PostgreSQL databases, such as designing schemas, optimising queries, and ensuring data consistency and processing efficiency.
• Provide expert application support for SaaS CPQ solutions by troubleshooting technical issues and ensuring smooth operation.
• Contribute to the design and implementation of new products and features while also enhancing the existing product suite.
• Be a mentor for colleagues and help promote knowledge-sharing.

Requirements:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving.
• This may include using AI-powered tools, automating workflows, analysing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Experience in using AI Productivity tools such as Windsurf, Cursor, etc. Is a plus or nice to have.
• ExperienceleveragingAI/ML in engineering and quality processes (e. g., automated testing, AI-driven insights, intelligent monitoring).
• 5+years of experience in DevOps engineering, with a track record of delivering high-quality products.
• Experience with GCP, Azure, or AWS and Hyperscalers.
• Proficiency in Python.
• Experience with the software development lifecycle (SDLC) and automation implementing automation, testing strategies, and CI/CD practices across delivery stages using GitHub for version control and GitHub Actions for automated build, test, and deployment workflows.
• Experience with PostgreSQL database management.
• Experience with AI/ML microservice integration.
• Experience with Docker and Kubernetes.
• Experience with regulated markets on Azure is a plus.