The engineering organization is a energetic group of builders, problem-solvers, and infrastructure innovators dedicated to delivering scalable, secure, and AI-powered platforms that elevate how organizations workWe value resilient architecture, automation-first thinking, and a culture of continuous improvementEvery engineer here plays a key role in shaping the reliability, security, and operational excellence of our productsDesign, develop, and maintain infrastructure, including architecting and implementing robust infrastructure to support CPQ (Configure, Price, Quote) products, ensuring dependability and scalability throughout the lifecycleDevelop and test software applications, including writing, testing, and refining software in Python, adhering to company requirements and best practices for maintainable and efficient codeBuild, deploy, and manage applications using container technologies such as Docker and orchestration tools like Kubernetes, optimizing for automation and scalabilityManage and evolve infrastructure across Google Cloud Platform (GCP), Azure, and AWS, utilizing native services for high availability, resilience, security, and multicloud interoperabilityApply core concepts such as software development lifecycles, automation, and scalable architecture in every stage of product deliveryDevelop secure architecture, conduct code reviews for security vulnerabilities, and institute thorough software verification and testing proceduresOversee deployment, monitoring, and maintenance of the CPQ suite of microservices, including several AI‐driven components,



ensuring reliable operations across environmentsCollaborate with AI/ML teams to deploy and support intelligent microservices, gaining hands‐on experience with data science implementations and real‐world applicationsPerform routine and advanced tasks on PostgreSQL databases, such as designing schemas, optimizing queries, and ensuring data consistency and processing efficiencyProvide expert application support for SaaS CPQ solutions by troubleshooting technical issues and ensuring smooth operationContribute to the design and implementation of new products and features while also enhancing the existing product suiteBe a mentor for colleagues and help promote knowledge‐sharingBuild and deliver high-impact software that powers digital experiences for millions of usersCollaborate in a culture that values craftsmanship, quality, and innovationWork symbiotically with AI and automation tools that enhance engineering excellence and drive product reliabilityBe part of a culture that encourages innovation, continuous learning, and shared successBenefitsGenerous family leaveMatched donationsAnnual learning stipendsFlexible PTOCompetitive retirement planPaid volunteer timeThis 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 consideredExperience with Docker and KubernetesExperience with regulated markets on Azure is a plusExperience in using AI Productivity tools such as Windsurf, Cursor, etc. Is a plus or nice to haveExperience 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 workflowsExperience with GCP, Azure, or AWSExperience with PostgreSQL database management6+years of experience in DevOps engineering, witha track recordof delivering high-quality productsExperience with AI/ML microservice integrationExperienceleveragingAI/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 industryProficiency in PythonExperience with Azure Government Community Cloud (GCC) and hyperscaler environments operating under FedRAMP or regulated government cloud standards #J-18808-Ljbffr

📌 Staff Devops Engineer (Federal) (Nipissing District)
🏢 ServiceNow
📍 Nipissing District