DevOps Engineer

Huzzle

Abu Dhabi

On-site

AED 120,000 - 180,000

Full time

14 days+
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Benefits offered by this job

Competitive salary package
Cutting-edge cloud technologies
Career progression opportunities

Job summary

Huzzle is looking for an experienced DevOps Engineer in Abu Dhabi to design and optimize scalable cloud infrastructure solutions. This role involves hands-on engineering and technical consulting, ensuring efficient management for enterprise clients.

The ideal candidate will have expertise in Kubernetes, Docker, and CI/CD pipelines, paired with strong communication skills. Join a technology-driven environment focused on innovation and high-impact projects.

Qualifications

  • 3+ years of experience in DevOps, Site Reliability Engineering, Cloud Engineering, or related roles.
  • Strong experience with Kubernetes, Docker, Linux, and cloud-native infrastructure.
  • Excellent communication and presentation skills.

Responsibilities

  • Collaborate with clients to design scalable, secure, and high-performance infrastructure solutions.
  • Lead technical discovery sessions and translate business requirements into architecture plans.
  • Develop and maintain CI/CD pipelines using GitHub Actions.

Skills

Kubernetes
Docker
CI/CD pipelines
Cloud-native technologies
Infrastructure automation
Python
Problem-solving

Tools

GitHub Actions
Terraform
Prometheus
Grafana

Job description

Job Type: Full-time
Location: Abu Dhabi, UAE (On-site)
Work Schedule: Fixed Hours (Asia/Dubai Timezone)

About Huzzle

At Huzzle, we connect exceptional talent with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI infrastructure.

Unlike a traditional outsourcing agency, we place professionals directly with clients where they become valued in-house team members, contributing to long-term growth and innovation.

About the Company

Our client is a fast-growing technology company building scalable cloud infrastructure and enterprise-grade developer platforms. The team specializes in modern DevOps tooling, Kubernetes orchestration, and secure infrastructure automation to help businesses deploy and manage applications efficiently at scale.

They are seeking a highly technical DevOps Engineer who thrives in customer-facing environments and enjoys solving complex infrastructure challenges while collaborating closely with engineering and product teams.

Job Summary

We are looking for an experienced DevOps Engineer to design, implement, and optimize scalable cloud infrastructure solutions for enterprise clients. This role combines hands-on DevOps engineering with technical consulting, customer enablement, and solution architecture responsibilities.

The ideal candidate has strong expertise in Kubernetes, Docker, CI/CD pipelines, cloud-native technologies, and infrastructure automation, along with excellent communication skills and the ability to work directly with technical stakeholders.

This is an exciting opportunity for someone passionate about cloud infrastructure, automation, and modern DevOps practices in a high-growth technology environment.

Key Responsibilities
  • Collaborate with clients and internal teams to design scalable, secure, and high-performance infrastructure solutions.
  • Lead technical discovery sessions and translate business requirements into actionable architecture plans.
  • Build proof-of-concepts (POCs), technical demos, and implementation documentation.
  • Develop and maintain CI/CD pipelines using GitHub Actions and modern DevOps workflows.
  • Manage containerized environments using Docker, Kubernetes, and Docker Compose.
  • Automate infrastructure provisioning and deployments using Terraform and Infrastructure-as-Code best practices.
  • Monitor system reliability and performance using observability tools such as Prometheus and Grafana.
  • Work closely with engineering teams to ensure successful integrations and deployments.
  • Troubleshoot infrastructure, networking, and deployment-related issues.
  • Support customer onboarding, technical workshops, and enablement sessions.
  • Gather technical feedback from enterprise users and contribute to product improvement discussions.
Qualifications
  • 3+ years of experience in DevOps, Site Reliability Engineering (SRE), Cloud Engineering, Solutions Engineering, or related roles.
  • Strong experience with Kubernetes, Docker, Linux, and cloud-native infrastructure.
  • Hands‑on experience with CI/CD pipelines and GitHub Actions.
  • Experience with Terraform and Infrastructure-as-Code methodologies.
  • Solid scripting or programming experience using Python, Go, JavaScript, or similar languages.
  • Familiarity with monitoring and observability tools such as Prometheus, Grafana, or ELK stack.
  • Strong understanding of APIs, networking concepts, and distributed systems.
  • Excellent communication and presentation skills with the ability to explain technical concepts clearly.
  • Ability to work independently in fast‑paced startup or enterprise environments.
  • Strong problem‑solving and troubleshooting skills.
Nice to Have
  • Experience with Azure cloud infrastructure.
  • Familiarity with identity and access management protocols such as OAuth2, OIDC, or SAML.
  • Knowledge of VPN technologies including WireGuard or IPSec.
  • Experience working with ArgoCD and GitOps workflows.
  • Background in AI infrastructure, enterprise SaaS, or data platforms.
  • Open‑source contributions, technical blogging, or documentation experience.
Benefits
  • Competitive salary package
  • Opportunity to work with cutting‑edge cloud and DevOps technologies.
  • Join a fast‑growing technology company with strong career progression opportunities.
  • Work on high‑impact infrastructure projects used by enterprise customers.
  • Exposure to modern Kubernetes, GitOps, and cloud‑native ecosystems.
  • Collaborate with highly technical engineering and product teams.
  • Be part of a company driving innovation in cloud infrastructure and automation.
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