Senior DevOps Engineer

Job Description 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