DevOps Engineer | Cloud, Kubernetes & AI-Driven Automation

At BindWorks were looking for a DevOps Engineer to join an international project where Cloud Automation Platform Engineering and Artificial Intelligence come together to build scalable secure and resilient technology platforms.

This is an opportunity to work beyond traditional infrastructure management contributing to modern cloud-native environments CI/CD automation observability and AI-assisted engineering practices.

Youll collaborate with experienced engineers in an environment that values technical excellence ownership automation and continuous improvement.

• Design implement and optimize CI/CD pipelines
• Build and maintain cloud-native infrastructure and deployment platforms
• Automate infrastructure provisioning and configuration management
• Manage Kubernetes clusters and containerized workloads
• Improve platform reliability scalability and security
• Implement monitoring logging and observability solutions
• Collaborate with Development QA Security and Platform teams
• Troubleshoot infrastructure and deployment issues
• Contribute to DevSecOps best practices
• Leverage AI-powered development tools to improve productivity and automation

Required

• 4 years of experience in DevOps Platform Engineering or Cloud Engineering

• Strong experience with:

  • CI/CD Pipelines
  • Jenkins
  • Git / Bitbucket
  • Docker
  • Kubernetes
  • Ansible
  • Helm

• Experience with Cloud Platforms (AWS Azure GCP or Private Cloud)

• Strong Linux / Unix knowledge

• Experience with scripting (Python Groovy or Shell)

• Experience working with Git workflows

• Strong analytical and troubleshooting skills

• Fluent English

• OpenSearch
• FluentBit
• Dynatrace
• Redis
• MLflow
• SSO
• Maven
• TeamCity
• DevSecOps tools (Fortify NexusIQ or similar)
• Infrastructure as Code
• Cloud Security
• Platform Engineering
• Observability & Monitoring
• Private Cloud environments

Experience using AI tools such as:

• GitHub Copilot
• ChatGPT
• Claude
• Claude Code
• AI Agents
• LLMs

We value engineers who know how to use AI responsibly to automate tasks improve engineering workflows and increase productivity.

AWS / Azure / GCP / Private Cloud

Docker

Kubernetes

Jenkins / CI/CD

Ansible & Helm

Python / Groovy / Shell

Git & Bitbucket

Dynatrace / OpenSearch / FluentBit

DevSecOps

AI Tools & LLMs

• Modern cloud-native environments
• Challenging platform engineering projects
• Exposure to AI-assisted DevOps practices
• Technically strong and collaborative teams
• Technical autonomy and ownership
• Continuous learning and certification opportunities
• Flexible Hybrid working model
• Long-term project stability
• Close support from BindWorks throughout your journey

Portugal (Hybrid)