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DevOps Engineer (m/f/d)

External
statista logoStatista · Hamburg, Germany
Full-timeRemote2w ago
AWSCI/CDCloudFormationDatadogGitHubGitHub Actions
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Benefits

In addition to our great team, culture, and our shared goal of empowering people with data, there are many other things that make Statista a great place to work! Join us and benefit from:Work from abroad up to 30 calendar days a yearHybrid work and flex-timeInternational team and social eventsSubsidized urban mobility and access to fitness and wellness optionsFree access to Langdock and all its amazing functionalitiesCareer & training opportunitiesAttractive locations and modern officesMental health support with OpenUpSome of the benefits listed here apply only to the German entity and to Junior-level roles or above.Health insurance

Additional Information

At Statista , we're all about facts and data, for we are the world's leading business data platform. By providing reliable and easy-to-use data as well as various data analytics products and services, we empower people worldwide to make fact-based decisions. Founded in Hamburg in 2007, we have quickly grown into a global company with offices in major cities such as London, New York, Berlin and Tokyo. And we still have a lot of plans. Our constant growth does not only prove our success, but also keeps creating new development and career opportunities for our employees. We value and celebrate our diverse culture. You are welcome here for who you are, no matter where you come from, what you look like, or whether you prefer bar graphs to pie charts. Your story matters - keep writing it as part of our team. Are you ready to join us? Your Role Maintain and scale hosting for client-facing dashboards and production applications Own uptime, security, monitoring, alerting, and incident response Design and automate CI/CD pipelines, repository-management, and deployment workflows Support deployments (React/Next.js), collaborate on architecture and feasibility decisions Build and maintain infrastructure for agent-based AI workflows, including orchestration, containerization, and scaling Enable and manage integrations between LLMs, APIs, and backend systems Your Profile Strong hands-on experience with AWS (VPC, ALB, ECS/EKS, CloudFront, S3, SQS, WAF, RDS, IAM, CloudWatch) - applying Infrastructure-as-Code (Terraform and/or CloudFormation) Proven experience designing and automating CI/CD pipelines using GitHub and GitHub Actions Experience with frontend deployment pipelines Familiarity with APIs and microservices architecture Experience with logging and monitoring tools such as CloudWatch and Datadog Strong sense of ownership over system reliability and incident response


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