Senior DevOps Engineer with GCP skills
Location - POLAND!
We are seeking a Senior DevOps Engineer to design and manage scalable, resilient infrastructure for a large-scale SaaS product. This role is ideal for a problem-solver who thrives in complex environments, ensuring high performance, reliability, and seamless deployment across cloud-based systems.
As part of the DevOps team, you’ll collaborate closely with R&D, software engineers, and data teams to streamline integrations, enhance automation, and maintain a seamless development and deployment experience.
About the Product:
Our client, develops an AI-powered product data enrichment, insights, and attribution platform for retailers and brands. Its proprietary technology processes millions of online product listings, extracting valuable insights from titles, descriptions, ingredients, consumer reviews,, and more.
We builds robust tools to help uncover insights about the consumer drivers of market performance, improve assortment and merchandising, categorize products, guide product innovation, and engage target audiences more effectively.
Key Responsibilities:
- Design, implement, and maintain Kubernetes infrastructure and deployments.
- Build and optimize CI/CD pipelines for seamless software delivery.
- Oversee and monitor Harmonya’s production systems to ensure reliability.
- Manage Infrastructure as Code (IaC) using Terraform/Terragrunt.
Work closely with software and data engineers across the development and ML lifecycle.
Required Competence and Skills:
- 5+ years of proven experience as a DevOps Engineer.
- Experience with major cloud platforms such as GCP and AWS.
- Hands-on expertise with Kubernetes and CI/CD tools (e.g., GitHub Actions, CircleCI, Jenkins).
- Proficiency in Infrastructure as Code (IaC), preferably using Terraform/Terragrunt.
- Knowledge of monitoring tools and practices (e.g., Prometheus/OpenMetrics, OpenTelemetry, Logging collectors).
- Coding and scripting skills in Bash or Python.
- Strong verbal and written communication skills in English.
Nice to have:
- Experience with ArgoCD.
- Background in data pipeline infrastructure.
- Knowledge of machine learning infrastructure.