DevOps Engineer - Product & Engineering at Hugo Technologies

Role Overview

• The DevOps Engineer will join the Product & Engineering team to design, secure, and scale Hugo’s infrastructure powering internal platforms, CX solutions, and AI-enabled tools.
• This role is both hands-on and strategic, requiring strong ownership, security mindset, and the ability to optimize systems across multiple teams.
• This individual will act as a thought leader in infrastructure, automation, and platform reliability while enabling rapid product delivery.

What You’ll Be Doing

• Own cloud infrastructure across multiple engineering teams
• Design secure, scalable, and cost-efficient platform architecture
• Implement and maintain CI/CD pipelines for rapid deployments
• Manage access control and identity across engineering systems
• Secure infrastructure using best-practice security frameworks
• Optimize existing systems for performance and cost efficiency
• Support AI workloads and data pipeline infrastructure
• Implement observability, logging, and alerting standards
• Automate infrastructure provisioning using IaC
• Partner with engineering to enable end-to-end feature delivery
• Drive reliability and uptime across all production systems
• Provide guidance on build vs buy infrastructure decisions.

Key Responsibilities

• Design and maintain multi-environment deployment architecture
• Manage Kubernetes/Docker-based workloads
• Implement RBAC and secrets management
• Lead security hardening initiatives
• Optimize cloud spend and resource utilization
• Support multi-team access and environment isolation
• Implement disaster recovery and backup strategies
• Improve developer productivity through tooling
• Define infrastructure standards and documentation.

Qualifications & Experience

• 5+ years in DevOps, SRE, or platform engineering
• Experience with AWS, Azure, or GCP
• Strong CI/CD experience (GitHub Actions, GitLab CI, Jenkins)
• Experience with Docker and Kubernetes
• Knowledge of networking and cloud security
• Experience managing production-scale systems
• Scripting experience (Python, Bash, Node.js)
• Experience with monitoring and observability tools.

AI-Native Expectations:

• Comfort using AI-assisted development workflows
• Experience deploying ML/AI workloads is a plus
• Ability to evaluate AI tooling for DevOps productivity
• Interest in automation-first engineering practices.

Nice to Have:

• Experience supporting BPO/CX platforms
• Experience with Terraform or Pulumi
• SOC2 / ISO / compliance exposure
• Experience with data infrastructure.