About The Position

The Internal Platform is a pivotal foundation that accelerates product development by providing a reliable, scalable, and self-service ecosystem. It supports the entire software lifecycle and is meticulously tailored to meet the organization’s technological needs and strategic direction. The platform enables development teams to operate autonomously in 80% of cases, reducing dependency on the Internal Platform area, and ensuring that compliance, security, and business continuity are integrated across the entire platform - defending general reliability of services, and data integrity. Overall, a platform engineering team plays a critical role in ensuring a company's technology infrastructure is reliable and scalable. The Internal Platform area consists of 34 people including 27 individual contributors 2 Staff Engineers, 4 Engineering Managers and Head of Internal Platform. The team is organized in a way to efficiently address Stakeholders needs. The AI Platform Engineers team is a part of the Internal Platform area and nowadays consists of 3 Platform Engineers, Software Engineer, and an Engineering Manager. The team is accountable for designing, building and maintaining the company AI infrastructure. Ensuring high availability, scalability, security and cost efficiency. As AI needs are growing, we are intensely growing that team to be “The Magnificent Seven”.

Requirements

  • Strong experience with Kubernetes (must-have).
  • Experience with CI/CD tools like GH Actions, Argo CD and Argo Rollouts.
  • Experience building secure, scalable, and high-availability environments on AWS.
  • Understanding of Disaster Recovery Planning and strategies for cloud infrastructure.
  • Experience with Python apps at scale.
  • Experience working with GPUs and distributing workloads.
  • Be prepared to work in a startup-like environment, where priorities can shift quickly, tasks evolve rapidly, and flexibility is key to success in our fast-paced setting.
  • Comfortable scripting or developing tools in Bash or Go.
  • You can communicate in English (both spoken and written - min. B2 level).
  • Growth mindset: nobody ticks all those boxes above, but willingness to learn is strongly valued here.

Nice To Haves

  • Knowledge of Terraform, Crossplane and Helm charts.
  • Familiarity with tools like Karpenter, KEDA, Velero and Cilium.
  • Cloud AI offering: familiar with AWS Bedrock or Azure OpenAI

Responsibilities

  • Design, implement, and manage AI Platform architecture.
  • Control AI-related costs, including models, GPUs, and other resources.
  • Work closely with Product teams to provide technical expertise and propose innovative solutions.
  • Guarantee highly available AI services through best practices and automation.
  • Collaborate with ML teams to operationalize AI models and integrate them into systems.
  • Troubleshoot critical issues and continuously optimize system performance.
  • Provide day-to-day support to team members and contribute to knowledge sharing.

Benefits

  • A salary adequate to your experience and skills.
  • True flexibility and work-life balance
  • Remote or hybrid work model with or hub in Warsaw
  • Flexible working hours (fully flexible, as in most cases you only have to be on a couple of meetings weekly)
  • 20/26 days of paid time off (depending on your contract)
  • Additional paid day off on your birthday or work anniversary (you choose what you want to celebrate).
  • Private healthcare plan with Signal Iduna for you and subsidized for your family.
  • Multisport card co-financing for you to have access to sports facilities across Poland.
  • Access to iFeel , a technological platform for mental wellness offering online psychological support and counseling.
  • Free English and Spanish classes.
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