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Lead DevOps Engineer – Cloud, Big Data & CI/CD Containers
United Arab Emirates
· Contract
·
Mid-Senior
Urgent requirement for Lead DevOps Engineer – Cloud, Big Data & CI/CD Containers is required for our client in Abu Dhabi ,UAE
Strong experience one major cloud platform (AWS, Azure, or GCP)---Must
Strong experience in building and maintaining CI/CD pipelines is Must
Strong experience on container-based services (Docker, Kubernetes) is Must
Strong experience in on Infrastructure as Code (IaC) knowledge (Terraform, CloudFormation, ARM, etc.) Is MUST
Strong experience on Big Data / Analytics: Data lakes, streaming, large-scale cloud data pipelines is MUST
We are looking for a Lead Data DevOps Engineer to design, build, and operate modern, cloud-based data analytics platforms at scale. This role is hands-on and technical, suited for an engineer who can own data infrastructure, DevOps automation, and reliability across streaming, big data, and ML workloads.
You will work on cutting-edge cloud and data technologies, enabling high-performance, fault-tolerant, and secure analytics systems while guiding teams through best DevOps and DataOps practices.
Key Responsibilities
Candidates must demonstrate strong, hands-on experience in all of the following:
1️⃣ Cloud & DevOps Engineering
Strong experience one major cloud platform (AWS, Azure, or GCP)---Must
Strong experience in building and maintaining CI/CD pipelines is Must
Strong experience on container-based services (Docker, Kubernetes) is Must
Strong experience in on Infrastructure as Code (IaC) knowledge (Terraform, CloudFormation, ARM, etc.) Is MUST
Strong experience on Big Data / Analytics: Data lakes, streaming, large-scale cloud data pipelines is MUST
We are looking for a Lead Data DevOps Engineer to design, build, and operate modern, cloud-based data analytics platforms at scale. This role is hands-on and technical, suited for an engineer who can own data infrastructure, DevOps automation, and reliability across streaming, big data, and ML workloads.
You will work on cutting-edge cloud and data technologies, enabling high-performance, fault-tolerant, and secure analytics systems while guiding teams through best DevOps and DataOps practices.
Key Responsibilities
- Design and deploy cloud-native data analytics solutions, including IoT analytics, streaming platforms, and decision-support systems
- Build and operate high-performance, scalable, distributed systems for processing and storing large-scale data
- Implement monitoring, logging, and alerting for proactive reliability and operational excellence
- Support Machine Learning and Data/Delta Lake platforms across private and public cloud environments
- Assist development teams with POCs and solution design
- Develop and maintain Infrastructure as Code (IaC) and configuration management
- Build, optimize, and maintain CI/CD pipelines
- Perform performance tuning and security engineering
- Continuously evaluate and adopt market-leading technologies
Candidates must demonstrate strong, hands-on experience in all of the following:
1️⃣ Cloud & DevOps Engineering
- Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP)
- Proven experience building and maintaining CI/CD pipelines
- Strong knowledge of Infrastructure as Code (Terraform, ARM, CloudFormation, etc.)
- Solid experience with container-based services (Docker, Kubernetes or equivalent)
- Experience operating fault-tolerant, scalable distributed systems in production
- Strong understanding of Big Data concepts and use cases
- Hands-on exposure to streaming, data analytics, or data lake architectures
- Experience supporting data-intensive workloads in cloud environments
- Experience debugging and supporting Java and/or Python applications
- Strong version control skills with Git
Key Skills
Ranked by relevance
cloud
big data
devops
cicd
infrastructure as code
cloudformation
kubernetes
terraform
docker
aws
machine learning
python
java
gcp
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- Posted
- Feb 10, 2026
- Type
- Contract
- Level
- Mid-Senior
- Location
- Abu Dhabi
- Company
- TAT IT Technolgies
Industries
Technology
Information
Internet
Categories
Management
Manufacturing
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3 roles aligned with this opportunity
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