Staff DevOps Engineer (Infrastructure)
Join us as a Staff DevOps Engineer and take ownership of evolving and scaling the infrastructure behind Zeely’s AI-driven platform.
We’re looking for a senior infrastructure engineer who thrives in ownership, complexity, and scale — someone who can design resilient systems, define infrastructure standards, and shape the long-term architecture of our platform. In this role, you’ll work closely with engineering teams to improve reliability and developer experience across a complex multi-cloud environment, scaling our CI/CD and observability stack, leading infrastructure integrations, and optimizing cloud costs while strengthening monitoring and alerting.
Zeely AI is a platform that uses artificial intelligence to generate viral UGC videos and ad banners, as well as launch effective ad campaigns on Facebook and Instagram, helping small businesses become visible and scale.
We already have 1 million users in the US and are consistently growing more than 4x year-over-year. Today, Zeely is ranked among the Top-3 products in its category on the US market, and our team has grown to over 130 specialists.
We are part of the Google for Startups Alumni community and official partners of Meta and TikTok. In 2024, Zeely was recognized by Forbes Ukraine as one of the Top 25 fastest-growing startups.
Your Key Responsibilities
Maintain and optimize AWS infrastructure (EKS, RDS, SQS, S3, OpenSearch and related services) to ensure reliability, scalability, and efficient resource usage.
Manage and scale GCP environments supporting AI services and data pipelines (e.g., BigQuery).
Maintain supporting infrastructure across Cloudflare and Hetzner, including networking, edge services, and production traffic routing.
Drive Infrastructure as Code (Terraform) across all providers to ensure consistency and maintainability.
Maintain and improve Kubernetes-based production environments, ensuring high availability and autoscaling.
Refine monitoring, logging, and alerting to improve signal quality and incident response.
Ensure high availability and resilience of production infrastructure under growing workloads.
Design and lead the multi-cloud strategy, including future integrations (e.g., Azure).
Collaborate with engineering teams to improve CI/CD pipelines and developer experience.
Implement and own APM and observability tooling.
Continuously optimize cloud infrastructure costs (FinOps) while maintaining performance and reliability.
Participate in on-call rotations, ensuring timely response to critical infrastructure incidents when they occur.
What You Need to Join Us
Must have
Deep expertise in AWS (EKS, EC2, RDS, SQS, S3, OpenSearch, etc).
Advanced experience with Terraform (modules, state management, multi-cloud providers).
Strong Kubernetes (EKS) administration and troubleshooting skills.
Hands-on experience with GCP (e.g., BigQuery, Compute Engine, CDC replication).
Strong Linux, networking, and security fundamentals.
English — Intermediate+ and fluent Ukrainian for day-to-day internal communication with the team.
Nice to have
Experience with Cloudflare (R2, caching) and Hetzner infrastructure.
Previous experience setting up or managing Azure environments.
Experience optimizing OpenSearch / ELK stack performance.
Experience deploying and monitoring infrastructure for AI/ML workloads in AWS or GCP.
Why It’s Exciting to Work With Us
Build AI-powered tools with real impact, helping over one million small businesses grow, compete, and launch ads without agencies or complex marketing setups.
Join a strong A-level team of experienced professionals who set a high bar and push each other to do better work.
Remote-first approach: work from anywhere, with access to our offices in Warsaw and Kyiv.
We take care of the essentials. Paid time off, sick leaves, and financial support with private entrepreneurship matters.
Regular performance reviews to ensure your growth is transparent and rewarded.
Recruitment Process
Recruiter interview → Test Interview → Interview with COO / Co-Founder → Reference check → Job offer.
You’ll influence core product decisions, and help build a fast-growing, financially stable AI platform — not as a contributor on the sidelines, but as an owner of critical parts of the product.