Cloud DevOps Engineer – Agent Development Platform, AWS

Roche

Cloud DevOps Engineer designing and managing AWS infrastructure for AI agent development. Collaborating with developers and data scientists to ensure scalable and secure cloud operations.

Posted 4/18/2026full-timeWarsaw • 🇵🇱 PolandMid-LevelSenior💰 PLN 14,000 - PLN 26,000 per monthWebsite

Tech Stack

Tools & technologies

AWSCloudDockerEC2GrafanaJavaScriptJenkinsKubernetesPrometheusPythonTerraform

About the role

Key responsibilities & impact

Design, deploy, and manage scalable infrastructure on AWS to support the Agent Development Portal
Ensure platform availability, reliability, and security across development and production environments
Implement and maintain infrastructure using Infrastructure as Code (Terraform, AWS CDK, or CloudFormation)
Automate provisioning, configuration, and environment management
Develop and maintain CI/CD pipelines to support automated build, test, and deployment workflows
Enable efficient deployment of AI services, backend components, and platform updates
Support infrastructure for AI applications, agent workflows, and RAG-based systems
Enable secure connectivity between AI services, enterprise data sources, and APIs
Implement monitoring and logging using tools such as AWS CloudWatch, Prometheus, Grafana, or similar platforms
Track system performance, reliability, and operational metrics
Implement cloud security best practices, including IAM policies, secrets management, and network security
Ensure the platform complies with enterprise security and governance requirements
Provide tooling and automation that improves the developer experience on the Agent Development Portal
Collaborate with engineering teams to streamline platform onboarding and deployment processes

Requirements

What you’ll need

Strong experience with AWS cloud services (e.g., EC2, Lambda, S3, IAM, API Gateway, VPC)
Experience implementing Infrastructure as Code using Terraform, AWS CDK, or CloudFormation
Experience building and maintaining CI/CD pipelines (GitLab CI, GitHub Actions, Jenkins, or similar)
Experience with containerization technologies such as Docker and container orchestration (e.g., Kubernetes)
Proficiency in scripting or programming languages such as Python, Bash, or JavaScript
Experience with monitoring and observability tools (CloudWatch, Prometheus, Grafana, etc.)
Strong troubleshooting and problem-solving skills.
Nice to Have Experience supporting AI/ML platforms or LLM-based applications
Familiarity with RAG architectures, vector databases, or AI agent systems
Experience managing data pipelines and knowledge ingestion infrastructure
Understanding of MLOps or AI deployment pipelines
Experience working in regulated or enterprise environments

Benefits

Comp & perks

Annual bonus payment based on your performance (target 15%)
Dedicated training budget (training, certifications, conferences, diversified career paths etc.)
Recharge Fridays (2 Fridays off per quarter available)
Take time Program (up to 3 months of leave to use for any purpose)
Vacation subsidy available
Flex Location (possibility to perform our work from different places in the world for a certain period of time)
Take Time for Charity (additional paid leave of maximum 2 weeks to engage in the charity action of your choice)
Private healthcare (LuxMed packages)
Group life insurance (UNUM)
Multisport
Stock share purchase additions
Yearly sales of company laptops and cars and many more!

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AWSTerraformAWS CDKCloudFormationCI/CD pipelinesDockerKubernetesPythonBashJavaScript

Soft Skills

troubleshootingproblem-solving