Staff DevOps Engineer (Federal)

• 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
• 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
• Build and deliver high-impact software that powers digital experiences for millions of users
• Collaborate in a culture that values craftsmanship, quality, and innovation
• Work symbiotically with AI and automation tools that enhance engineering excellence and drive product reliability
• Be part of a culture that encourages innovation, continuous learning, and shared success

Benefits

• Generous family leave
• Matched donations
• Annual learning stipends
• Flexible PTO
• Competitive retirement plan
• Paid volunteer time- This position requires passing a ServiceNow background screening, USFedPASS (US Federal Personnel Authorization Screening Standards). This includes a credit check, criminal/misdemeanor check and taking a drug test. Any employment is contingent upon passing the screening. Due to Federal requirements, only US citizens, US naturalized citizens or US Permanent Residents, holding a green card, will be considered
• Experience with Docker and Kubernetes
• Experience with regulated markets on Azure is a plus
• Experience in using AI Productivity tools such as Windsurf, Cursor, etc. Is a plus or nice to have
• 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 GCP, Azure, or AWS
• Experience with PostgreSQL database management
• 6+years of experience in DevOps engineering, with a track record of delivering high-quality products
• Experience with AI/ML microservice integration
• Experience leveraging AI/ML in engineering and quality processes (e.g., automated testing, AI-driven insights, intelligent monitoring)
• 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
• Proficiency in Python
• Experience with Azure Government Community Cloud (GCC) and hyperscaler environments operating under FedRAMP or regulated government cloud standards