C3 AI (NYSE: AI), is the Enterprise AI application software company. C3 AI delivers a family of fully integrated products including the C3 Agentic AI Platform, an end-to-end platform for developing, deploying, and operating enterprise AI applications, C3 AI applications, a portfolio of industry-specific SaaS enterprise AI applications that enable the digital transformation of organizations globally, and C3 Generative AI, a suite of domain-specific generative AI offerings for the enterprise.
We are looking for a highly motivated Senior Backend Engineer to join our Infrastructure & DevOps team. You will play a critical role in designing, building, and maintaining the backbone of our scalable cloud environments, CI/CD systems, and developer tooling. Your work will directly support engineering productivity and system reliability across the company.

QUALIFICATIONS

• B.S./M.S. in Computer Science, Engineering, or a related technical discipline.
• 5+ years of backend or infrastructure engineering experience in production environments.
• Strong experience with CI/CD pipeline design.
• Proficiency in Terraform, Ansible, and infrastructure automation in cloud environments (e.g., AWS, Azure, GCP).
• Hands-on experience with Java, Groovy, Python, Shell scripting, and configuration of Gradle/Maven build systems.
• Deep understanding of Docker containerization and lifecycle management.
• Experience with monitoring, logging, and observability tools is a plus.
• Passion for clean, maintainable code, with a strong emphasis on automation and developer enablement.
• Nice to have: Familiarity with major cloud providers such as Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS).
  C3 AI provides excellent benefits, a competitive compensation package and generous equity plan.

• Design and maintain robust CI/CD pipelines to automate testing, integration, and deployment across a distributed development organization.
• Develop and maintain infrastructure as code (IaC) using Terraform and Ansible to provision and manage cloud environments.
• Build and maintain internal tools and services written in Java, Groovy, Python, and Shell.
• Support engineering workflows and release automation.
• Manage and enhance build systems leveraging Gradle and Maven to support large-scale Java-based applications.
• Containerize and orchestrate services using Docker, ensuring consistency across development, staging, and production environments.
• Deploy and manage services in Kubernetes (K8s) clusters, supporting scalability and high availability across environments.
• Collaborate with cross-functional teams to improve deployment workflows, monitor systems, and respond to incidents.
• Mentor junior engineers and contribute to improving engineering standards, tooling, and processes.