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Senior DevOps Engineer

DevOps EngineerDevOps EngineerFull TimeRemoteSeniorTeam 11-50Since 2009H1B No SponsorCompany SiteLinkedIn

Location

Poland

Posted

76 days ago

Salary

0

Seniority

Senior

Job Description

Senior DevOps Engineer

IT.HR | Recruitment Agency

• Design, build, and maintain scalable and secure cloud infrastructure for AI and Big Data solutions, ensuring high availability and performance in a production environment. • Implement end-to-end automation for the complete Machine Learning (ML) lifecycle, including infrastructure for model training, real-time inference, and data processing. • Develop, manage, and optimise Infrastructure as Code (IaC) using tools like Terraform to provision and configure cloud resources consistently and efficiently. • Create, manage, and improve robust Continuous Integration and Continuous Delivery (CI/CD) pipelines to enable rapid and safe deployment of code, models, and infrastructure changes. • Manage and optimise Kubernetes clusters (e.g., AKS, EKS, or GKE) specifically tailored for running containerised data processing frameworks and GPU-enabled ML workloads at scale. • Establish advanced monitoring, logging, and alerting systems to ensure the health, performance, and cost efficiency of the data and AI platforms. • Implement security measures, access controls, and compliance frameworks to ensure data privacy, model governance, and adherence to security best practices across all environments. • Work closely with Data Scientists, AI Engineers, and Software Development teams to translate complex AI requirements into robust, deployable infrastructure solutions.

Job Requirements

  • Strong professional background (5+ years) in a DevOps, SRE, or Cloud Engineering role, focusing on mission-critical production systems.
  • Extensive, hands-on experience with at least one major cloud provider (AWS, Azure, or GCP), particularly related to infrastructure and networking.
  • Expert-level knowledge of Kubernetes administration, operation, and optimisation for high-performance workloads, including scaling and resource management.
  • Deep practical experience with Terraform for infrastructure provisioning and state management.
  • Proficiency in designing and managing automated CI/CD pipelines (e.g., Azure DevOps, GitHub Actions, or GitLab CI).
  • Experience with tools and frameworks commonly used in the Data/AI domain, such as Apache Spark, Apache Airflow, Databricks, or specific AI/ML tooling infrastructure.
  • Solid proficiency in scripting languages like Python or Bash for automation, testing, and system integration.
  • Experience implementing and working with observability stacks (e.g., Prometheus, Grafana, ELK stack, or cloud-native monitoring).

Benefits

  • 100% Remote Work Option within Europe, providing ultimate work-life flexibility.
  • Flexible Working Hours and a hybrid work model, supported by modern office hubs across Europe.
  • Personalised Development Program and access to dedicated mentorship and coaching from domain experts to accelerate your career growth.
  • Comprehensive Benefits Package, including additional health insurance and food vouchers.
  • The chance to take full ownership and make a tangible impact on mission-critical, cloud-native solutions.
  • A supportive, collaborative team culture with regular social events and team-building activities.

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