About The Position

We are looking for an experienced Senior DevOps / MLOps Engineer to join a high-impact project focused on the production deployment of an Anti-Churn Machine Learning system. The goal of the project is to transition an analytical churn-prevention model from Proof of Concept (PoC) into a fully scalable, production-grade solution. Key project pillars include: Prediction optimization – improving model performance using transactional and behavioral data (Oracle DWH) MLOps ecosystem development – full lifecycle automation (CI/CD) using Kubernetes, Apache Airflow, and MLflow Explainable AI (XAI) – implementation of SHAP to better understand customer behavior and decision factors

Requirements

  • 5+ years of experience in DevOps or System Engineering
  • Expert-level knowledge of Kubernetes (administration, networking, storage), especially in on-premise environments
  • Hands-on experience with MLOps automation and Apache Airflow orchestration
  • Proven track record delivering secure solutions in regulated industries (FinTech, Banking, Insurance)
  • Strong experience with CI/CD tools and containerization (Docker)
  • Solid knowledge of MLflow (Tracking, Model Registry, Serving)

Nice To Haves

  • Experience with Infrastructure as Code tools (Terraform, Ansible)
  • Familiarity with air-gapped environments (restricted internet access setups)

Responsibilities

  • Design and implement stable runtime environments based on Kubernetes (RKE2 / Rancher)
  • Build and maintain end-to-end CI/CD pipelines using GitLab CI/CD and Nexus
  • Orchestrate complex data pipelines and batch workloads in Apache Airflow (KubernetesPodOperator)
  • Implement enterprise-grade security standards, including: HashiCorp Vault integration, Secrets management, RBAC policies
  • Configure and maintain monitoring and alerting for ML systems (Prometheus, Grafana, ELK)
  • Collaborate closely with Data Engineering and Data Science teams to optimize container resource usage

Benefits

  • Fully funded training, certifications, and participation in technology conferences
  • Cafeteria system that allows employees to personalize benefits by choosing from a variety of options
  • Generous referral bonuses, offering up to PLN6,000 for referring specialists
  • Additional revenue sharing opportunities for initiating partnerships with new clients
  • Ongoing guidance from a dedicated Team Manager for each employee
  • Tailored technical mentoring from an assigned technical leader, depending on individual expertise and project needs
  • Dedicated team-building budget for online and on-site team events
  • Opportunities to participate in charitable initiatives and local sports programs
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