Senior DevOps Engineer - AI & Platform Ops (MLOps)

Diverse CG Sp. z o.o. Sp.k.; Poland; On-site; PLN 223,200 - 334,800; Full time

Benefits offered by this job

Private medical care

Co-financing for the sports card

Constant support of dedicated consultant

Job summary

Diverse CG Sp. z o.o. Sp.k. is seeking a Senior DevOps Engineer in Poland to lead incident management and optimize service performance. The role involves building deployment pipelines, maintaining production environments, and supporting AI/ML workloads. Ideal candidates have extensive experience with Docker, Kubernetes, and CI/CD tools like Jenkins, with a strong command of English. Attractive benefits include private medical care and sports card co-financing.

Qualifications

• Hands-on experience with Docker containerization and Kubernetes orchestration.
• Experience with CI/CD tools including Jenkins and Maven.
• Experience working with Infrastructure as Code using Ansible.
• Advanced troubleshooting with Splunk, Apica, and Sysdig.
• Experience with AI/ML operations and deploying AI agents.

Responsibilities

• Lead RCA processes and implement preventive measures.
• Monitor, analyze, and optimize service performance and stability.
• Build and maintain deployment pipelines for multiple APIs.
• Maintain Pre-Production and Production environments.
• Evaluate and implement new DevOps tools and AI-powered solutions.

Skills

Docker containerization

Kubernetes orchestration

CI/CD tools (Jenkins, Maven)

Infrastructure as Code (Ansible)

Relational databases (Oracle, DB2)

Application technologies (Spring, Hibernate, XML, JSON, Kafka)

Troubleshooting with Splunk, Apica, Sysdig

Observability tools (Prometheus, Grafana)

AI/ML operations (MLOps)

AI model serving platforms

AI agent orchestration

Workflow automation

Emerging technologies

English proficiency

Job description

Diverse CG Sp. z o.o. Sp.k. is seeking a Senior DevOps Engineer in Poland to lead incident management and optimize service performance. The role involves building deployment pipelines, maintaining production environments, and supporting AI/ML workloads. Ideal candidates have extensive experience with Docker, Kubernetes, and CI/CD tools like Jenkins, with a strong command of English. Attractive benefits include private medical care and sports card co-financing.