Application Support Engineer

B2B contract

rate 130 pln/h + VAT
work mode: hybrid, Gdańsk

We are seeking an experienced Application Support Engineer to join the team. The ideal candidate will have a deep understanding of DevOps practices, innovative solutions, and the ability to manage complex environments effectively.

Main Responsibilities

• Lead RCA processes and implement preventive measures for incident & problem management.

• Monitor, analyze, and optimize service performance and stability in production support.

• Build, maintain, and enhance deployment pipelines for multiple APIs in CI/CD management.

• Maintain Pre-Production and Production environments through effective environment management.

• Collaborate closely with Platform Operations teams and the delivery factory to foster cross-team collaboration.

• Create comprehensive runbooks and knowledge bases for operational procedures.

• Evaluate and implement new DevOps tools, practices, and AI-powered solutions to drive innovation leadership.

• Implement Infrastructure as Code practices and drive automation for self-healing infrastructure solutions.

• Support AI/ML workload deployments and operations.

• Lead the adoption of emerging technologies and best practices.

Key Requirements

• Experience with Docker containerization and Kubernetes orchestration.

• Proficient in CI/CD tools such as Jenkins and Maven.

• Advanced troubleshooting skills using tools like Splunk.

• Proficient in relational databases, specifically Oracle and DB2.
  
  Nice to Have

• Experience with Infrastructure as Code using Ansible.

• Basic knowledge of Spring, Hibernate, XML, JSON, and Kafka.

• Experience with modern observability tools such as Prometheus, Grafana, and ELK stack.

• Experience in AI/ML operations (MLOps) and AI agent deployments.

• Knowledge of AI model serving platforms and ML workload containerization.

• Strong understanding of AI agent orchestration and workflow automation.

• Ability to evaluate and integrate new DevOps tools and practices.

• Software development knowledge in Java/J2EE.

• Experience with cloud platforms (AWS, Azure, or GCP).

• Familiarity with IBM Datastage.