Senior DevOps Engineer (Infrastructure)

About Zeely Inc.

Zeely is an agentic AI platform for creating, launching, and scaling paid advertising. We give businesses of any size access to a full creative team powered by AI — capabilities previously available mainly to large brands with agencies and in-house marketing departments.

Today, 2M+ businesses use Zeely, more than 70% of our paying customers are based in the US, and users create approximately 1M AI creatives every month.

Our next major step is a B2B solution for larger marketing teams and enterprise clients, combining AI-powered creative production, performance analytics, and automation to help them launch and scale marketing faster.

Where we are today

• 4 years on the market — a stable, profitable company with international investors.
• 6× growth over the past year.
• 2M+ businesses using the platform.
• #1 in our category in the US market.
• 250+ specialists on the team.
• A US-focused business serving customers worldwide.
• We have proven product-market fit and a clear understanding of what drives growth.

Responsibilities

• Own and improve AWS infrastructure, including EKS, EC2, RDS, SQS, S3, OpenSearch, and related services, balancing reliability, scalability, performance, and cost.
• Manage and scale GCP environments supporting AI services, data pipelines, and analytics workloads, including BigQuery.
• Maintain supporting infrastructure across Cloudflare and Hetzner, including networking, edge services, and production traffic routing.
• Develop and maintain Infrastructure as Code with Terraform, building reusable modules and consistent practices across cloud providers.
• Operate and improve Kubernetes production environments, including availability, autoscaling, troubleshooting, and deployment stability.
• Strengthen observability across metrics, logs, traces, and APM, improving visibility into application and infrastructure performance.
• Improve monitoring and alerting to reduce noise, surface actionable issues, and support effective incident response.
• Partner with engineering teams to improve CI/CD pipelines, release reliability, and developer experience.
• Contribute to infrastructure architecture and our multi-cloud strategy, with a primary focus on AWS and GCP.
• Drive cloud cost optimization and FinOps practices while maintaining performance and reliability.
• Participate in on-call rotations (L2), investigate critical infrastructure incidents, and turn findings into lasting improvements.

Requirements

• 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.

Preferred

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

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. Work across AI workloads, Kubernetes, multi-cloud infrastructure, observability, and deployment automation.
• An experienced engineering team. Collaborate with specialists who value 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! 💚