Middle/Senior DevOps Engineer (part-time) віддалено Unidatalab is looking for a DevOps Engineer for a part-time involvement , to assist us with a variety of projects, mainly focused on AI and Machine Learning. Responsibilities Set up, maintain, and document complex software infrastructures in the cloud; Set up and maintain CI/CD processes; Support and collaborate with engineering teams within the software development lifecycle; Provide consultations on DevOps-related challenges and best
Middle/Senior DevOps Engineer (part-time)
віддалено
Unidatalab is looking for a DevOps Engineer for a part-time involvement , to assist us with a variety of projects, mainly focused on AI and Machine Learning.
Responsibilities
- Set up, maintain, and document complex software infrastructures in the cloud;
- Set up and maintain CI/CD processes;
- Support and collaborate with engineering teams within the software development lifecycle;
- Provide consultations on DevOps-related challenges and best practices.
Requirements
- 3+ years of experience as a DevOps Engineer;
- Comprehensive knowledge of Kubernetes (K8s), including deployment, scaling, and troubleshooting;
- Strong proficiency in Linux-based OS & bash scripting;
- Proficiency in AWS services (Amazon EKS, EC2, RDS, and related services);
- Expertise in IAC using Terraform;
- Strong proficiency in Docker;
- Experience with GitLab CI/CD or GitHub Actions tools;
- Solid understanding of basic network concepts: DNS, load balancing, firewalls, and common network protocols such as TCP/IP, WebSocket, and gRPC.
- Familiarity with GPU instances in AWS and Kubernetes;
- At least an Intermediate level of English.
Nice to have
- Knowledge of Azure and/or GCP;
- Proficiency in at least one scripting language, such as Python or NodeJS;
- Familiarity with Machine Learning and/or MLOps practices is a big plus.
About us
Unidatalab is a research group providing RnD services and tech solutions in the field of Conversational AI, SpeechTech, and Natural Language Processing. Our primary expertise includes building voice interfaces (speech recognition, voice cloning & transfer, speaker identification, etc.) and AI-powered digital assistants/chatbots that can generate fluent human speech and handle natural conversations and dialogs.