As entrepreneurs ourselves, we understand the unique challenges startups face managing their rollercoaster growth. We’ve lived it. We know that even well-funded teams can lack the bandwidth to recruit, train, and integrate the operations staff needed to meet growing demand.
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.
Method of Application
Meet the qualifications? Apply now at Hugo Technologies on careers.hugotech.co