DevOps Engineer — CI CD And Application Platforms

Technology Innovation Institute

Abu Dhabi

Vor Ort

AED 180.000 - 320.000

Vollzeit

Vor 13 Tagen

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Zusammenfassung

Technology Innovation Institute (TII) in Abu Dhabi invites a skilled DevOps Engineer to join the AI and Digital Science Research Centre. You will design, implement, and maintain CI/CD pipelines, Helm charts, and IaC to support cutting-edge research software.

You will collaborate with researchers to streamline delivery workflows, ensure secure deployments, and improve developer experience through tooling and automation across development, testing, and production environments.

Qualifikationen

  • Proven experience in DevOps, platform engineering, or similar role aiding software teams.
  • Hands-on designing and maintaining CI/CD pipelines with GitHub Actions, GitLab CI, or Jenkins.
  • Proficiency in Python, Bash, or similar automation languages.
  • Experience with Linux scripting, networking, and sysadmin tasks.
  • Experience with Docker, Kubernetes, and deploying apps on Kubernetes.
  • IaC and config management with Terraform/OpenTofu/Ansible.
  • Helm and GitOps tools such as FluxCD or Argo CD.
  • Knowledge of software delivery practices, tests, artifact versioning, release management, rollback.
  • Familiarity with AWS, GCP, or Azure.
  • Strong troubleshooting and collaboration with researchers and engineers.
  • Experience with AI/ML apps or GPU workloads is a plus.

Aufgaben

  • Design, implement, and maintain CI/CD pipelines for automated builds, tests, packaging, and deployment.
  • Collaborate with software engineers and researchers to support app development and delivery workflows.
  • Develop reusable deployment templates, Helm charts, and IaC modules.
  • Manage container build workflows, artifact registries, dependencies, and configurations across environments.
  • Implement GitOps for version-controlled deployments.
  • Troubleshoot build, deployment, configuration, and runtime issues.
  • Integrate automated security checks, dependency scanning, and secrets management into pipelines.
  • Improve developer experience with self-service tooling, automation, and docs.
  • Coordinate with infrastructure and reliability teams to meet monitoring, scalability, and recovery needs.

Kenntnisse

DevOps experience
CI/CD pipelines
GitHub Actions
GitLab CI
Jenkins
Python
Bash scripting
Linux administration
Docker
Kubernetes
Terraform/OpenTofu/Ansible
Helm
FluxCD / Argo CD
Public cloud (AWS/GCP/Azure)
AI/ML workloads experience

Ausbildung

Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, or related field

Tools

Docker
Kubernetes
Helm
Terraform
OpenTofu
Ansible
FluxCD
Argo CD

Jobbeschreibung

Job Description:
The Institute

Technology Innovation Institute (TII) a publicly funded research institute based in Abu Dhabi, the United Arab Emirates. It is home to a diverse community of leading scientists, engineers, mathematicians, and researchers from across the globe, transforming problems and roadblocks into pioneering research and technology prototypes that help move society ahead.

AI and Digital Science Research Centre

The Artificial Intelligence and Digital Science Research Centre (AIDRC) is the machine learning powerhouse of TII. We work closely with other research centers to harness the full potential of AI across multiple domains — from healthcare and cybersecurity to government and advanced technology systems.

We're looking for a talented DevOps Engineer to join our growing team and help accelerate the development and delivery of software supporting advanced research. As an engineer in our team, you'll design, implement, and maintain CI/CD pipelines and application platforms, working closely with software engineers and researchers to build reliable, secure, and reproducible development and deployment workflows.

Responsibilities
  • Design, implement, and maintain CI/CD pipelines for automated builds, testing, packaging, and deployment.
  • Collaborate with software engineers and researchers to support application development, resolve integration issues, and improve delivery workflows.
  • Develop and maintain reusable deployment templates, Helm charts, and infrastructure-as-code modules.
  • Manage container build workflows, artifact registries, dependencies, and application configuration across development, testing, and production environments.
  • Implement GitOps practices for consistent, version-controlled application deployments.
  • Troubleshoot application build, deployment, configuration, and runtime issues.
  • Integrate automated security checks, dependency scanning, and secrets management into delivery pipelines.
  • Improve developer experience through self-service tooling, automation, documentation, and reproducible development environments.
  • Work with infrastructure and reliability engineers to ensure applications meet operational requirements for monitoring, scalability, and recovery.
Requirements
  • Proven experience in DevOps, platform engineering, or a similar role supporting software development teams.
  • Hands-on experience designing and maintaining CI/CD pipelines using tools such as GitHub Actions, GitLab CI, or Jenkins.
  • Proficiency in Python, Bash, or another language used for automation and tooling.
  • Experience with Linux environments, including scripting, networking, and system administration.
  • Experience with containerization technologies such as Docker and containerd, and application deployment on Kubernetes.
  • Experience with infrastructure-as-code and configuration management tools such as Terraform, OpenTofu, or Ansible.
  • Experience with Helm and GitOps tools such as FluxCD or Argo CD.
  • Understanding of software delivery practices, including automated testing, artifact versioning, release management, and rollback strategies.
  • Familiarity with public cloud platforms such as AWS, GCP, or Azure.
  • Strong troubleshooting skills and the ability to collaborate effectively with software engineers and researchers.
  • Experience supporting AI/ML applications, GPU workloads, or research software is a plus.
Qualifications
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical Engineering, or a related field.
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