[Hiring] Senior DevOps Engineer @Zeely Inc.

Role Description

Join Zeely AI as a Senior DevOps Engineer and take ownership of evolving and scaling the infrastructure behind our agentic AI marketing platform. We’re looking for a senior infrastructure engineer who can:

• Design resilient systems
• Define infrastructure standards
• Turn complex operational challenges into reliable, maintainable solutions

You’ll work closely with fellow DevOps engineers, our Principal System Architect, and engineering teams across a multi-cloud environment. Your work will support growing AI workloads and our expansion into B2B and enterprise by:

• Improving reliability
• Enhancing deployment workflows
• Increasing observability
• Boosting cloud efficiency

Qualifications

• 6+ years of hands-on commercial DevOps experience
• 5+ years of practical AWS experience, including EKS, EC2, RDS, SQS, S3, OpenSearch, and related infrastructure components
• Strong Kubernetes administration and troubleshooting skills, preferably with EKS
• Advanced Terraform experience, including reusable modules, state management, and multi-provider infrastructure
• Hands-on experience with GCP, ideally including BigQuery, Compute Engine, or infrastructure supporting data pipelines
• Strong Linux, networking, and security fundamentals
• Experience taking ownership of production infrastructure, observability, alerting, and incident response
• The ability to make technical decisions, explain trade-offs, and drive improvements through to implementation
• Upper-Intermediate English / B2 or higher, including communication with external providers and technical stakeholders
• Fluent Ukrainian for day-to-day team communication
• Availability to collaborate during CET/EET working hours

Requirements

• Experience with Cloudflare, including R2, caching, or edge services (Nice to Have)
• Experience with Hetzner infrastructure (Nice to Have)
• Experience optimizing OpenSearch or ELK stack performance (Nice to Have)
• Experience deploying, operating, or monitoring infrastructure for AI/ML workloads (Nice to Have)
• Experience with FinOps and cloud cost optimization (Nice to Have)
• Experience leading infrastructure initiatives or mentoring engineers (Nice to Have)

Benefits

• Infrastructure ownership with room to shape decisions
• Influence architecture, standards, and the way engineering teams deploy and operate the product
• Scale with a proven business
• Support a profitable AI platform used by more than 2M businesses as we expand into B2B and enterprise
• Meaningful engineering challenges across AI workloads, Kubernetes, multi-cloud infrastructure, observability, and deployment automation
• An experienced engineering team that values autonomy, clear reasoning, and practical results
• Remote-first work, with access to our offices in Warsaw and Kyiv
• Performance reviews twice a year, with clear goals and conversations about your development, impact, and compensation

Recruitment Process

• Recruiter interview
• Technical interview
• Final interview with the Principal System Architect and COO / Co-Founder
• Reference check
• Job offer

Send us your CV — we’d love to get to know you! 💚