Lead DevOps Engineer – Cloud, Big Data & CI/CD Containers
Urgent requirement for Lead Dev Ops 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, Cloud Formation, 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 Dev Ops Engineer to design, build, and operate modern, cloud-based data analytics platforms s role is hands‑on and technical, suited for an engineer who can own data infrastructure, Dev Ops 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 Dev Ops and Data Ops 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
- 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, Cloud Formation, 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
Skills:
cloud,big data,devops
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).