DevOps Engineer Cloud Transformation & AI Enablement

Description

• Lead the design and implementation of cloud-native infrastructure across AWS, Azure, and GCP using Crossplane and Pulumi.
• Build and maintain infrastructure-as-code (IaC) pipelines to support scalable deployment of applications and data services.
• Collaborate with data engineering and analytics teams to optimize Snowflake environments for performance, cost, and security.
• Develop automation scripts and services using Python, TypeScript, Go, or Rust to support infrastructure provisioning, monitoring, and remediation.
• Integrate LLM technologies into operational workflows (e.g., intelligent alerting, auto-remediation, documentation generation).
• Partner with software engineers and product managers to ensure seamless deployment and observability of web and mobile applications.
• Implement and manage CI/CD pipelines, container orchestration, and secrets management across environments.
• Drive continuous improvement in system reliability, performance, and developer experience.
• Contribute to the development of internal DevOps standards, reusable modules, and best practices.

• Zealous about exceptional client service and internal collaboration.
• Agile and execution-focused, with a bias toward action and impact.
• Growth-oriented and committed to professional development.
• Feedback-heavy and mentoring-rich, with a culture of continuous improvement.
• Eager to solve complex, ambiguous problems with creativity and rigor.
• Hardworking and passionate about building the future of technology-enabled consulting.

• 5+ years of experience in DevOps, cloud engineering, or infrastructure automation.
• Hands-on experience with Crossplane and Pulumi in at least one cloud environment (preferably AWS).
• Proficiency in Python, TypeScript, Go, or Rust for scripting and automation.
• Experience managing and optimizing Snowflake environments.
• Familiarity with integrating LLMs into DevOps workflows or operational tooling.
• Deep understanding of CI/CD, containerization (Docker/Kubernetes), and infrastructure-as-code.
• Exposure to web and mobile application deployment pipelines.
• Excellent problem-solving and communication skills.
• Background check required.