Staff DevOps Engineer
Core
Design, develop, and maintain scalable, secure, AI-powered infrastructure and microservices for Configure, Price, Quote (CPQ) products, supporting US Federal customers.
Role type
Staff DevOps Engineer (Infrastructure & AI Integration)
Builds
Scalable, secure, AI-driven CPQ microservices and infrastructure on GCP, Azure, and AWS
Domain
Enterprise SaaS / Cloud Infrastructure / AI Engineering
Deliverable
production ML models | infrastructure
Required skills
DevOps engineering, Python, Cloud platforms (GCP/Azure/AWS), Containerization (Docker/Kubernetes), CI/CD, PostgreSQL, AI/ML microservice integration, Software development lifecycle (SDLC), Automation
Preferred skills
Azure Government Community Cloud (GCC) experience, FedRAMP compliance, AI productivity tools (Windsurf, Cursor), Regulated markets experience
Technologies
Python, Docker, Kubernetes, GCP, Azure, AWS, GitHub Actions, PostgreSQL
Responsibilities
Architect and implement robust infrastructure for CPQ products; Develop and test software applications in Python; Manage and evolve infrastructure across GCP, Azure, and AWS; Oversee deployment, monitoring, and maintenance of CPQ microservices; Perform advanced tasks on PostgreSQL databases; Collaborate with AI/ML teams to deploy intelligent microservices; Provide expert application support for SaaS CPQ solutions; Mentor colleagues and promote knowledge-sharing
Seniority
Staff, hands-on IC with mentorship