Statworx

Operations Engineer Data & AI (m/w/d)

Statworx
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4 months ago
Frankfurt, GermanyMid Level

Responsibilities

  • Operate, maintain, and continuously improve productive AI and ML systems in cloud environments, especially Azure.
  • Ensure system availability, performance, reliability, and service quality in production.
  • Perform updates, patches, minor enhancements, and Python-based fixes to existing services.
  • Improve monitoring, observability, and alerting and identify potential production issues early.
  • Analyze, resolve, and document production incidents, bugs, and application problems.
  • Support remediation of vulnerabilities, security findings, CVEs, and other security issues.
  • Work with APIs, cloud services, and containerized deployments to maintain stable system integrations.
  • Improve operations processes, deployment workflows, and maintenance standards for AI Operations.
  • Collaborate with consultants, developers, engineers, project teams, and stakeholders.
  • Provide reliable support during regular business hours and contribute to internal knowledge sharing and best practices.

Requirements

  • At least two years of experience in cloud and IT environments, including practical experience operating production systems.
  • Practical experience operating and maintaining production cloud systems, ideally involving AI or machine-learning applications.
  • Strong knowledge of Azure, including Azure Container Apps, Azure Functions, Azure Application Insights, Azure AI Search, and Azure OpenAI.
  • Experience with containerized and serverless architectures and Docker.
  • Experience with Python for troubleshooting, automation, or implementing fixes in existing services.
  • Understanding of monitoring and observability, including alerting and production-system transparency.
  • Knowledge of vulnerability management, dependency maintenance, CVE remediation, and related security topics.
  • Experience with CI/CD pipelines and deployment workflows; Azure DevOps and/or GitHub Actions are preferred.
  • Reliable, careful, detail-oriented working style with ownership of operational quality and stability.
  • Strong teamwork and communication skills and professional English proficiency.

Benefits

  • Work on varied Data & AI projects for notable customers across multiple industries.
  • Receive regular feedback, individual development support, training opportunities, and access to a mentoring program.
  • Join an open, diverse, respectful workplace with flat hierarchies, short decision paths, and strong team collaboration.
  • Work in a modern, iterative environment with autonomy and opportunities to contribute ideas.
  • Receive transparent, structured compensation levels that are regularly adjusted to market and performance developments.
  • Work primarily from the Frankfurt office with regular remote-work opportunities and up to four weeks per year working remotely from another EU country.
  • Receive a discounted Deutschlandticket and reduced-price access to sports and wellness offerings through Wellpass.
  • Receive high-quality IT equipment such as a MacBook Pro, team events, childcare subsidies, and employee discounts.

Tech Stack

AzureDockerGitHub ActionsPython

Categories

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