Senior DevOps Engineer

About the Team 

The engineering organization 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. 

What you get to do in this role:

• 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, optimizing for automation and scalability. 

• Manage and evolve infrastructure across Google Cloud Platform (GCP), Azure, and AWS, utilizing 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, optimizing 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

To be successful in this role you have:

• 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, analyzing 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.  
• Experience leveraging AI/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 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.