DevOps Engineer (ML & AI) (Sofia, Bulgaria Based)

About this role

Sofia
Stars
is a fast-growing global service provider that guides high-growth businesses to success. Our range of tailored solutions includes
R&D, Customer Support, Sales, KYC, Risk, and Anti-Fraud services
. We make every connection shine with fresh tech and cultural understanding.

We are looking for an experienced
DevOps Engineer
to take ownership of our cloud environment and deployment pipelines. will be the driving force behind building and maintaining the infrastructure that powers our custom
AI workflows
.

Duties and Responsibilities
:

- Architect & Scale AWS Infrastructure:
Lead the design and maintenance of our production-grade AWS environment.
- Manage Hybrid Orchestration:
Own the development and optimization of our internal orchestration layer, bridging the gap between custom code and cloud-native services.
- Automate via IaC:
Drive efficiency by managing all cloud resources through
Terraform, CloudFormation, or CDK
.
- Deploy AI & Agentic Workflows:
Build and maintain the specialized infrastructure required for AI pipelines, including the orchestration of multi-agent systems and tool-calling frameworks.
- Own the DevOps Lifecycle:
Direct all source control, monitoring, and deployment procedures, taking full accountability for the stability and speed of our release cycles.

Role Requirements
:

- AWS Expert:
Proven track record of architecting and managing production-grade AWS environments.
- AI/ML Infrastructure Fluency:
Hands-on experience supporting AI/ML workflows, including data pipelines, model deployment, and specialized orchestration.
- Infrastructure as Code (IaC):
Proficiency in
Terraform
(strongly preferred) or similar tools to manage complex, version-controlled cloud environments.
- Containerization & Orchestration (Plus):
Significant experience with
Docker
and
Kubernetes
to package and scale distributed AI applications.
- **Wor...