DevOps Engineer – Cloud Transformation & AI Enablement at Equity Methods
Equity Methods · Scottsdale, United States Of America · Onsite
- Senior
- Office in Scottsdale
- 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.