DevOps Engineer

The Codest

DevOps Engineer developing AI-powered applications and supporting cloud engineering at Codest. Collaborating on microservices and ensuring software best practices in a remote environment.

Posted 7/20/2026full-timeRemote • 🇵🇱 PolandMid-LevelSenior💰 PLN 21,000 - PLN 25,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing applications with embedded AI features, utilizing modern AI technologies such as MCP, LLMs, and agentic frameworks. Proficient in AWS and Jenkins for deployment and automation, with a strong understanding of microservice architecture and DevOps practices.

Highest-signal resume keywords

DevOps ExperienceAWS ProficiencyJenkins ExpertiseAI Technologies KnowledgeMicroservice Architecture Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Application DevelopmentAI-Powered FeaturesMCPLLMsAgentic FrameworksAI Best PracticesSoftware Development PrinciplesGit StrategiesSoftware Development LifecycleDevOps Solutions

Tools & Technologies

AWSJenkins

Industry Keywords

Microservice ArchitectureAI GovernanceAutomationInfrastructure Processes

Tech Stack

Tools & technologies

AWSJenkins

About the role

Key responsibilities & impact

Design, develop, and maintain applications with embedded AI-powered features.
Build intelligent business applications using modern AI technologies, including MCP, LLMs, and agentic frameworks.
Implement and promote AI best practices, controls, and governance aligned with software development principles.
Work with AWS and Jenkins to support deployment, automation, and infrastructure processes.
Collaborate on microservice-based solutions and ensure alignment with architectural best practices.
Apply Git strategies and contribute across the full software development lifecycle.
Support the delivery of scalable, reliable, and maintainable DevOps-driven solutions.

Requirements

What you’ll need

Min. 4 years of professional experience in DevOps role
Min. 4+ years of use of AWS and Jenkins
Experience in design, develop and maintain applications with embedded AI powered features
Proven ability to build intelligent business applications using latest AI technologies, MCP, LLMs and agentic frameworks.
Detailed knowledge of AI best practices and controls along with software development principles
Good understanding of microservice architecture patterns, Git strategies, and the software development lifecycle

Benefits

Comp & perks

300 PLN to use on our benefits platform, Worksmile - gift cards, medical services, sports, etc.
Integration events
Education opportunities