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Senior Data DevOps Engineer

Roles & Responsibilities

  • Strong production experience on AWS
  • Infrastructure as Code (Terraform / OpenTofu / CloudFormation)
  • Docker
  • Kubernetes

Requirements:

  • Deploy, maintain, and optimize cloud-based data infrastructure on AWS
  • Own CI/CD pipelines, infrastructure automation, and monitoring
  • Ensure platform stability, observability, and scalability
  • Support the transition from single-client to multi-client architecture

Job description

Digitanity is a new generation, dedicated IT company that partners with clients from all over the world on some of the most thrilling and contemporary technology long-term products.

Digitanity dedicated teams are an authentic augmentation to our customers’ team in the Head headquarters. You can meet us in Scottsdale, Amsterdam, Padua, Sofia, and Belgrade.

 

One of our clients is 

Gaming Analytics Platform | Contract or Full-Time | Remote (EU)
About the Role
We are scaling a production-ready data analytics platform in the gaming/gambling industry. The core platform is already 70% complete, stable in production for a live client, and built on a solid AWS-based foundation.
Your mission will be to extend and harden the platform to onboard a second client by the end of February, and help prepare it for multi-client scale.
This is not a rescue mission — you will be expanding a working, documented, and automated system.
What You’ll Do • Deploy, maintain, and optimize cloud-based data infrastructure on AWS • Own CI/CD pipelines, infrastructure automation, and monitoring • Ensure platform stability, observability, and scalability • Support the transition from single-client to multi-client architecture • Work closely with the founder and data engineers to move fast and safely
Must-Have Skills • Strong production experience on AWS • Infrastructure as Code (Terraform / OpenTofu / CloudFormation) • Docker & Kubernetes • Monitoring & observability (Prometheus, Grafana) • Linux (strong hands-on experience)
Nice to Have • Event streaming platforms (Kafka, Pulsar, Kinesis) • Experience with data platforms or analytics systems • Gaming/gambling industry exposure
Engagement Model • Contract or payroll employment • Initial engagement: minimum 1 month • High chance of extension into a longer-term role
Location • Fully remote • EU-based candidates only

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