DevOps Engineer - Deep Learning AI Platform (GCP)

Location: [Poland]

We Are

RTB House is a next-generation performance demand-side platform (DSP) that uses proprietary Deep Learning AI algorithms to help brands grow. The company is the market leader in driving performance using Deep Learning across the entire purchase funnel.

Founded in 2012, and now operating in 90+ markets, RTB House has always been private-by-design. It embraces first-party advertising and a relentless approach to innovation. RTB House offers end-to-end Deep Learning-powered AdTech products and solutions to maximize conversion, drive new customer acquisition, create engagement, and fuel long-term demand for a global base of clients.

About The Role

As a DevOps Engineer, you will play a crucial role in designing, building, and maintaining our cloud infrastructure, CI/CD pipelines, and deployment automation. Your responsibilities will include migrating applications from on-prem to GCP, monitoring web applications, automating daily tasks, and maintaining the production environment. You will collaborate closely with development teams, system administrators, and other stakeholders to ensure our systems are highly available, secure, and efficient.

This is an excellent opportunity for an experienced DevOps professional who is passionate about solving complex challenges and enabling engineering teams to perform at their best.

The Following Skills Will Be Crucial

• Hands-on experience migrating applications and infrastructure from on-premises environments to Google Cloud Platform (or other cloud provider). Skilled in designing secure, scalable, and cost-efficient GCP architectures using infrastructure as code, containerization, and managed services. Capable of defining and executing migration strategies with minimal operational disruption.
• Demonstrated ability to take ownership of complex systems, troubleshoot critical issues, and implement scalable solutions. Experience in sharing best practices, and driving key DevOps projects through hands-on technical contributions.
• Proven ability to streamline daily operations by developing automation scripts, refining CI/CD pipelines, and optimizing cloud infrastructure to enhance system reliability and team productivity.
• Strong communication skills to engage with engineering teams and stakeholders across the organization. Ability to work across disciplines to align infrastructure and deployment strategies, ensuring seamless integration and operational excellence.
• Skilled at addressing complex and unclear technical challenges. Capable of analyzing issues, defining objectives and success metrics, and crafting efficient, practical solutions to meet project goals.
  
  

Desired Experience

• 5+ years of experience as a DevOps Engineer or similar
• Proven experience as a DevOps / Engineering Team Lead, including team mentoring, technical decision-making, workload prioritization, and cross-team coordination
• Strong hands-on experience with at least one major cloud platform (GCP, AWS, or Azure, with a preference for GCP)
• Proficiency in Kubernetes and Helm for container orchestration and management
• Hands-on experience with CI/CD tools such as GitHub Actions, Jenkins
• Expertise in infrastructure-as-code tools like Terraform, Terragrunt
• Proven experience building and optimizing observability stacks with Prometheus and Grafana, including metrics design, alerting strategies, and dashboarding
• Strong knowledge of Docker for containerization
• A strong commitment to best practices and ensuring the high security of designed solutions
  
  

Selected Technologies

• Google Cloud Platform
• Kubernetes, GCP serverless services
• Argo CD & Argo Workflows

Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.

• PostgreSQL, Google Cloud SQL
• GitHub
• Terraform, Terragrunt
• GitHub Actions, Jenkins
  
  

We Offer

• Competitive Compensation: We offer an attractive salary package with significant growth opportunities
• Cutting-edge Technology: Engage with the latest technologies on large-scale, dynamic projects
• Wellbeing: extremely flexible working conditions - you work when it is convenient for you and devote as much time as you can; you can work fully remotely
• Purpose-Driven Work: being at the heart of the system, your growing knowledge and competencies will be used in practical applications directly connected to business results
  
  

Apply now!

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