5 дней назад
DevOps Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
DevOps Engineer (AI) (Azure/Kubernetes): Deploying and monitoring cloud and self-hosted infrastructure, microservices, and high-load messaging systems with an accent on Kubernetes orchestration, infrastructure as code, observability, and MLOps support. Focus on designing resilient cloud platforms, managing gRPC traffic and autoscaling, and building infrastructure for machine learning development.
Location: Head Office, Tbilisi, Georgia
Company
TBC is a leading regional financial institution developing data analytics, artificial intelligence, and digital products.
What you will do
- Deploy and monitor applications and infrastructure across Azure and self-hosted environments.
- Manage Azure accounts and projects, IAM, networking, Kubernetes, and microservices infrastructure.
- Implement load balancing for high-load HTTP/2 and gRPC traffic.
- Operate monitoring and observability platforms including Prometheus, Grafana, ELK, and Azure Monitor.
- Manage NATS and Kafka queues, network infrastructure, and Git-based configuration workflows.
- Support MLOps infrastructure for machine learning development, including MLFlow and Flyte.
Requirements
- At least 3 years of experience in DevOps or SRE roles.
- Strong knowledge of IT infrastructure and Linux environments.
- Hands-on experience with at least one cloud provider; Azure experience is preferred.
- Experience with Kubernetes or similar container orchestration platforms on bare metal, autoscalers such as Karpenter, and microservices architectures.
- Experience with Terraform, GitOps, infrastructure as code, and CI/CD principles.
- Bachelor’s degree in Computer Science, Engineering, or a related field.
Nice to have
- RHCA, RHCE, CKAD, Terraform, or similar certifications.
- Familiarity with API-driven development.
- Willingness to learn and work with AI tools and modern technologies.
Culture & Benefits
- Full-time employment at the head office.
- Work in a financial technology environment focused on digital products and data-driven services.
- Candidate data is processed in accordance with Georgian personal data protection law.
Hiring process
- Only candidates who pass the first selection stage and receive candidate status will be contacted.
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