Engineering Manager, AI & Infrastructure - Fully Remote, Turkey Based

4+ years of hands-on software engineering experience At least 2+ years in a leadership or management role Proven experience leading cross-functional technical teams in fast-paced environments Solid understanding of DevOps principles Solid understanding of modern cloud infrastructure (e.g., AWS, GCP, Azure) Familiarity with CI/CD tools (e.g., GitHub Actions, ArgoCD, Jenkins) Familiarity with infrastructure as code (e.g., Terraform, Pulumi) Familiarity with container orchestration (e.g., Kubernetes) Strong communication skills Ability to collaborate effectively with both technical and non-technical stakeholders Experience with MLOps workflows (Preferred) Background in machine learning infrastructure or working with ML engineering teams (Preferred) Exposure to data platforms, versioning tools (e.g., DVC), or ML orchestration frameworks (e.g., Kubeflow, MLflow) (Preferred) Ability to guide architectural decisions involving machine learning systems in production (Preferred)

Lead, mentor, and scale a team of engineers working across infrastructure, backend services, DevOps platforms, and MLOps Collaborate with product, data, and machine learning teams to align engineering efforts with business goals Oversee project planning, prioritization, and delivery with a focus on quality and velocity Promote engineering excellence by establishing best practices in code quality, testing, deployment, and observability Drive initiatives in system scalability, reliability, and maintainability Contribute to infrastructure decisions, ensuring efficient CI/CD pipelines and DevOps tooling Support and evolve MLOps pipelines in collaboration with ML engineers and data scientists (Preferred)