Senior DevOps Engineer with AI accent
Delasport
| Company | Delasport |
| Category | Engineering |
| Location | Sofia or Plovdiv |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 6 Feb 2024 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
Description
About Us:
Delasport is where technology meets the excitement of sports and gaming! As a proven innovator in iGaming software, we provide everything from platform development to player account management. Our platform is designed to make every player feel like the star of the show, with personalized experiences and cutting-edge technology at its heart.
Since our founding in 2010, we have won multiple international awards and have established a proven track record of excellence, stability, and overall success. This achievement only drives us to reach even greater heights. Currently, we are proud to have over 500 experts across various business fields and several offices in Bulgaria (Sofia and Plovdiv), Ukraine, and Malta.
About The Role:
As part of the DevOps team, you will contribute to designing and automating CI/CD pipelines, managing cloud infrastructure, and operating large-scale Kubernetes environments.
You will work on building highly automated, observable, and scalable systems by applying modern DevOps practices and leveraging AI-assisted tooling to improve delivery speed, system reliability, and developer experience.
The DevOps team owns infrastructure provisioning, configuration management, centralized logging, and monitoring, and you will collaborate with experienced engineers to continuously improve workflows, optimize system operations, and explore AI-driven approaches for automation, incident management, and operational efficiency.
How You’ll Make an Impact:
Design and implement robust CI/CD pipelines for applications deployed in the public cloud.
Automate infrastructure provisioning and lifecycle management to ensure reliable and scalable cloud environments.
Build, deploy, and operate distributed systems on Kubernetes, including defining and tuning auto-scaling strategies.
Design and maintain data streaming platforms using Apache Kafka for real-time data ingestion and processing.
Own and improve centralized configuration management across infrastructure and applications.
Enhance observability by evolving logging, monitoring, and alerting systems to enable proactive issue detection and resolution.
Employees may be required to participate in an on-call rotation, ensuring availability outside regular working hours to handle urgent issues as needed as per the On-call policy.
AI & Automation in DevOps:
We actively integrate AI into our daily workflows to improve efficiency, consistency, and developer experience. As part of the team, you will:
Leverage AI tools (e.g. Cursor, ChatGPT) to accelerate development of CI/CD pipelines, Kubernetes manifests, and infrastructure code
Contribute to internal PoCs exploring AI integration with infrastructure, observability, and operational workflows
Help centralize and enhance interactions with logging and monitoring systems using AI-driven approaches
Use AI to improve documentation, incident reports, and operational processes
Identify opportunities to automate repetitive tasks and reduce operational overhead through AI-assisted solutions
We are continuously experimenting and expect engineers to actively contribute ideas and improvements in this space.
Who You Are:
Technical Expertise: Proficient in Docker, Kubernetes, Terraform, Packer, and Ansible.
CI/CD Knowledge: Solid understanding of CI/CD processes and tools, including Git, Jenkins, and Microsoft Teams.
Apache Kafka Expertise: Proven experience with Apache Kafka, in
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