DevOps Engineer (Cloud & AI Enablement)

About the role

A fast-growing technology-driven consulting firm seeks a DevOps Engineer to transform their traditional environments into a cloud-native, automation-first ecosystem that powers advanced analytics and AI-driven solutions.

Responsibilities

• Design and implement cloud-native infrastructure using infrastructure-as-code (IaC) tools.
• Build and manage CI/CD pipelines, container orchestration, and secrets management across environments.
• Partner with data and analytics teams to optimize cloud data platforms for performance, cost, and security.
• Develop automation services and scripts (Python, Go, TypeScript, or similar).
• Integrate AI/LLM technologies into operational workflows (alerting, auto-remediation, documentation).
• Improve system reliability, scalability, and developer experience.
• Contribute to internal DevOps standards, reusable modules, and best practices.

Requirements

• 5+ years of DevOps, cloud engineering, or infrastructure automation experience.
• Hands-on experience in AWS, Azure, or GCP with IaC tools (Pulumi, Terraform, or Crossplane preferred).
• Strong coding skills in Python, Go, TypeScript, or Rust.
• Background in managing CI/CD, Docker/Kubernetes, and cloud data platforms.
• Familiarity with applying AI/ML to DevOps workflows (bonus).

Qualifications

• Strong problem-solving and communication skills.

Skills

• Infrastructure-as-code (IaC) tools (Pulumi, Terraform, or Crossplane preferred).
• CI/CD, Docker/Kubernetes, and cloud data platforms.
• AI/ML integration in DevOps workflows.

Benefits

• Competitive base salary + equity participation.
• Growth-oriented, collaborative culture with strong career development.

Pay

Competitive base salary + equity participation.

Schedule

Full-time.