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, witha track recordof delivering high-quality products
• Experience with AI/ML microservice integration
• ExperienceleveragingAI/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

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