Senior DevOps Engineer (Infrastructure)

Zeely Inc.; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Remote‑first

Offices in Warsaw and Kyiv

Job summary

Zeely AI is seeking a Senior DevOps Engineer to own and scale the infrastructure behind our agentic AI marketing platform. You will design resilient systems, define infrastructure standards, and turn complex operational challenges into reliable, maintainable solutions to support growing AI workloads.

You will collaborate across AWS, GCP, and multi-cloud on-call rotations, improve CI/CD, observability, and FinOps, while driving deployment reliability and developer experience in a remote-first

Qualifications

• 6+ years of hands-on commercial DevOps experience.
• 5+ years of AWS experience including EKS, EC2, RDS, S3, OpenSearch.
• Strong Kubernetes administration and troubleshooting skills (preferably EKS).
• Advanced Terraform experience with modules and multi-provider infra.
• Hands-on GCP experience including BigQuery/Compute Engine.
• Strong Linux, networking, and security fundamentals.
• Experience owning production infrastructure, observability, and incident response.
• Ability to explain trade-offs and drive improvements to implementation.
• Upper-Intermediate English / B2+; Ukrainian for day-to-day team communication.

Responsibilities

• Own and improve AWS infrastructure, including EKS, EC2, RDS, SQS, S3, OpenSearch, and related services.
• 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.

Skills

DevOps

AWS

Kubernetes (EKS)

Terraform

GCP

Linux

Networking

Security fundamentals

Incident response

English (B2+)

Ukrainian

On-call availability

Tools

OpenSearch

BigQuery

Cloudflare

Hetzner

Job 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, and turn complex operational challenges into reliable, maintainable solutions.

Your work will support growing AI workloads and our expansion into B2B and enterprise: improving reliability, deployment workflows, observability, and cloud efficiency.

About Zeely AI

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.

Your Key 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.

What You Need to Join Us:

• 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.

Nice To Have Skills:

• 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.

Why Join Zeely:

• 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.