DevOps Engineer (CI/CD)

Join our team as a DevOps Engineer, where you will be the technical reference for a talented group working on mission-critical applications for major clients like Netflix, Amazon, Nike, Facebook, and Google. You will drive architectural decisions, set engineering standards, and mentor other engineers. Your responsibilities will include optimizing developer productivity, improving software deployment processes, enhancing the developer experience, automating infrastructure provisioning, and architecting scalable cloud-based solutions. You will also monitor platform performance, evaluate emerging AI models, and advocate for modern software delivery practices.

• Act as the team's technical referent: drive architectural decisions, set engineering standards, and mentor engineers to raise the technical bar across the organization.
• Champion an AI-first approach to platform engineering: embed AI agents and assistants across the software delivery lifecycle, and build the skills, plugins, and MCP integrations that make them first-class citizens of our workflows.
• Optimize developer productivity by designing and implementing self-service platforms and automation frameworks that streamline software delivery.
• Proficiency in monitoring, logging, and observability solutions to ensure system reliability
• Proficiency in Infrastructure as Code (IaC) and configuration management frameworks
• Scripting and automation skills using programming languages for workflow optimization
• Experience in designing and managing CI/CD pipelines with automation and deployment tools
• Security-first mindset, ensuring compliance and best practices across cloud, infrastructure, and AI tooling
• Hands-on experience integrating AI into engineering workflows, such as agentic automation, custom MCP servers, or AI-assisted CI/CD
• Knowledge of modern software delivery methodologies, including GitOps, automated testing, and continuous deployment
• Strong understanding of container orchestration and cloud-native architectures for scalable application management
• AI-first mindset: you use AI agents and coding assistants as a natural part of your daily workflow, and you understand the building blocks of the ecosystem — models, agent skills, plugins, and protocols such as MCP (Model Context Protocol)
• Proven experience acting as a technical referent or lead: driving technical decisions, mentoring engineers, and influencing beyond your own team
• Expertise in cloud environments and best practices for security, scalability, and cost efficiency
• Experience building and managing internal developer platforms and self-service infrastructure solutions