TL;DR
Senior Devops Engineer (AI/ML): Leading the modernization and scaling of a global digital health SaaS platform with an accent on reliability, automation, and cost efficiency. Focus on cloud, ML, and Kubernetes infrastructure, driving operational excellence across mission‑critical workloads.
Location: Hybrid in Sofia, Bulgaria
Company
hirify.global is a software and digital engineering services company providing customers across different industries with mission-critical solutions through their specialized software businesses.
What you will do
- Lead operations for multi-tenant SaaS workloads on AWS, ensuring scalability, high availability, and cost efficiency.
- Design, implement, and maintain reliable infrastructure for production, data, and AI/ML workloads.
- Own incident response, postmortems, and operational runbooks to improve system reliability and reduce MTTR.
- Manage and enhance CI/CD pipelines supporting both application and ML deployment workflows.
- Build and maintain infrastructure automation using Infrastructure as Code (AWS CDK or Terraform).
Requirements
- 7+ years of experience in DevOps/ CloudOps/ SRE.
- Solid hands-on experience with AWS (Fargate, EKS, EC2, S3, RDS, Lambda, IAM, CloudWatch, CloudTrail), Kubernetes and containerized workloads.
- Proficiency with CI/CD tools, Infrastructure as Code (IaC), infrastructure automation, and scripting (Python, Bash, or similar).
- Proven experience with AI/ML platforms (AWS SageMaker, Kubeflow, MLflow, or equivalent), and cost‑efficient GPU/compute optimization.
- Excellent spoken and written English language skills.
Culture & Benefits
- Encourages applicants of all backgrounds, genders (m/f/d), and walks of life to join their team.
- Commitment to openness, trust, and diversity.
- Aim to create digital futures that benefit businesses, societies, and humanity.
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