devops engineer

project engineer

ai engineer

network engineer

quality engineer

devops developer

Huzzle.com

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

DevOps Engineer

NorthBay - Pakistan

<div>
 
 Job Description
 
 
 
 We are looking for a highly skilled Senior DevOps Engineer with extensive experience in designing, implementing, and managing large-scale, production-grade cloud environments. The ideal candidate will have strong expertise in Azure DevOps, cloud infrastructure, and modern DevOps practices with a focus on automation, security, and scalability.
 
 
 
 Key Skills &amp; Requirements
 
 
 
 <ul>
 <li>
 Azure DevOps / CI/CD: Build, deploy, and maintain pipelines for complex applications.
 </li>
 <li>
 Must have experience working on Azure Cloud Infrastructure
 </li>
 <li>
 Managed Azure Cloud: Experience in high-scalable, production-grade Azure environments.
 </li>
 <li>
 DevSecOps: Implement security practices in CI/CD pipelines.
 </li>
 <li>
 MCP Server / Infrastructure Management
 </li>
 <li>
 LLM &amp; AI/ML Platforms: Experience with Azure AI Foundry, Azure Machine Learning infrastructure.
 </li>
 <li>
 Containerization &amp; Orchestration: Docker, Kubernetes, Helm, FluxCD, ArgoCD.
 </li>
 <li>
 Observability &amp; Monitoring: Dynatrace, Prometheus, Grafana, logging, metrics, and alerting.
 </li>
 <li>
 Code Quality &amp; Version Control: SonarQube, Git, GitHub.
 </li>
 <li>
 Automation &amp; Scripting: PowerShell, Python, or Bash.
 </li>
 <li>
 Strong problem-solving skills, troubleshooting production issues, and optimizing systems for performance and cost.
 </li>
 <li>
 Infrastructure as Code (Terraform, Bicep, ARM templates)
 </li>
 <li>
 Cloud security best practices
 </li>
 <li>
 Experience with microservices and serverless architectures
 </li>
 <li>
 Knowledge of Agile/DevOps culture and collaboration practices
 </li>
 </ul>
</div>

Devops Engineer - Azure

D4 Insight

<div>
 
 Location:
 
 Abu Dhabi
 
 
 
 Experience:
 
 5+ Years
 
 
 
 Role Overview
 
 
 
 The DevOps Engineer will manage deployment automation, cloud infrastructure, Kubernetes operations, and platform reliability across Azure-based AI environments.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Build Infrastructure as Code using Terraform and Bicep.
 </li>
 <li>
 Manage AKS environments and Kubernetes operations.
 </li>
 <li>
 Implement CI/CD pipelines.
 </li>
 <li>
 Support monitoring, DR, and security controls.
 </li>
 <li>
 Maintain platform reliability and scalability.
 
 
 </li>
 </ul>
 
 Required Skills
 
 
 
 <ul>
 <li>
 Azure
 </li>
 <li>
 AKS
 </li>
 <li>
 Terraform
 </li>
 <li>
 Bicep
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 CI/CD
 </li>
 <li>
 DevOps Automation
 
 
 </li>
 </ul>
 📩
 
 Apply Now: careers@d4insight.com
 
</div>

DICETEK LLC

<div>Key Responsibilities:<ul><li>Provide daily operational support for a real‑time digital platform</li><li>Implement and manage Infrastructure as Code using Terraform</li><li>Handle cloud transformations, deployments, and environment configurations</li><li>Support development teams with cloud‑related requirements</li><li>Perform maintenance, user support, and platform stability activities</li><li>Collaborate with cross‑functional teams to ensure smooth operations</li></ul>
Required Skills &amp; Experience<ul><li>6&ndash;10+ years of experience in Cloud Engineering / DevOps</li><li>Strong hands‑on experience with Azure or AWS</li><li>Proficiency in Terraform and infrastructure automation</li><li>Solid understanding of DevOps practices, CI/CD, and cloud security</li><li>Experience in both implementation and maintenance of cloud environments</li><li>Ability to troubleshoot and support real‑time production systems</li></ul>
Mandatory Certifications<ul><li>Azure Solution Architect OR</li><li>AWS Solution Architect</li></ul>
(At least one certification is required)</div>

Cloud and DevOps Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
At DeepLight, we don't believe in &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
The DevOps Engineer owns the Agentic Workflow Automation (AWA) platform's deployment architecture, infrastructure-as-code (IaC), CI/CD pipelines, and continuous operational reliability. Operating within the AI Centre of Excellence (AICoE) at a Mid-level capacity, this position serves as the primary guardian of the cloud-native infrastructure within the bank's Azure UAE environment. The role ensures that every critical platform component&mdash;ranging from AKS namespaces and KEDA autoscalers to ADLS Gen2 storage lifecycles and firewall configurations&mdash;is entirely automated, secure, and reproducible strictly from code, eliminating manual interventions.
Your responsibilities as the DevOps Engineer include:<ul><li>
Maintaining and governing all AWA Azure infrastructure utilizing Terraform or Bicep, covering multi-namespace AKS clusters, ADLS Gen2 accounts with WORM policies, API Management configurations, private endpoints, and Key Vault instances.</li><li>
Designing and optimising automated Azure DevOps pipelines managing the full lifecycle from container compilation, ACR pushing, and Notary v2 image signing, through to managed infrastructure deployments and validation testing gates.</li><li>
Managing multi-namespace AKS clusters, enforcing strict network policies, pod isolation, workload identities, and KEDA autoscaling rules based on active message queues or consumer lag.</li><li>
Overseeing container registries, enforce mandatory image signing, monitor vulnerability tracking outputs, and maintain admission control validation policies via OPA Gatekeeper.</li><li>
Administering access architectures, managed identity configurations, automated TLS certificate lifecycles, and cryptographic secret rotation schedules within Azure Key Vault.</li><li>
Constructing complex KQL queries and alerting conditions within Azure Monitor and Log Analytics to track service-level SLA breaches, runtime failures, and token utilization thresholds.</li><li>
Implementing platform security configurations, managing private connectivity endpoints, Azure Policy enforcement rules, and enterprise firewall architectures.</li><li>
Defining, implementing, and validating automated disaster recovery failover paths, maintaining target Recovery Time Objectives (RTO) and Recovery Point Objectives (RPO) for storage accounts and model serving endpoints.</li></ul> 

Requirements 
We need you to have:<ul><li>
A deep competence in building enterprise-grade, production-ready cloud architectures using infrastructure-as-code platforms (Terraform or Bicep).</li><li>
Technical mastery over Kubernetes (AKS) configuration, including Helm/Kustomize deployment engines, network policies, and cluster admission controls.</li><li>
Practical ability to implement automated horizontal scaling strategies using Kubernetes Event-Driven Autoscaling (KEDA) or equivalent streaming metrics.</li><li>
The capability to manage multi-stage, gated deployment pipelines across multi-environment setups using Azure DevOps or GitHub Actions.</li><li>
A solid understanding of enterprise network routing, including hub-and-spoke VNets, private link endpoints, network security groups, and cloud firewall boundaries.</li><li>
A minimum of 5 years of experience in dedicated DevOps, SRE, or Platform Engineering roles, with at least 2 years explicitly focused on Azure ecosystems.</li><li>
A documented history managing production Kubernetes deployments, implementing automated RBAC, policy layers, and namespace segmentation.</li><li>
Experience writing advanced KQL (Kusto Query Language) expressions to parse logs and feed operational dashboards.</li><li>
Hold a Bachelor's degree in Computer Science, Systems Engineering, or a related technical discipline.</li></ul>
It would also be great if you:<ul><li>
Are proficient with Kubernetes Workload Identity, managed identity architectures, and Azure Key Vault access security profiles.</li><li>
Are familiar with Azure AI Foundry and API Management platforms, specifically controlling token consumption quotas, routing, and rate limits.</li><li>
Are familiar with Azure Event Hubs or Kafka consumer groups, alongside immutable ADLS Gen2 storage structure management.</li><li>
Hold an active Azure Administrator Associate (AZ-104), Azure DevOps Engineer Expert (AZ-400), or Certified Kubernetes Administrator (CKA) designations.</li></ul> 

Benefits 
The benefits you'll enjoy as part of this role include: 
<ul><li>
Competitive salary
</li><li>Comprehensive personal health insurance
</li><li>Visa Sponsorship for the successful individual</li><li>
Professional development and certification support</li><li>
Subscription reimbursement relating to your role</li><li>
Opportunity to work on cutting-edge AI projects</li><li>
Monthly Employee Incentive program</li><li>
Career advancement opportunities in a rapidly growing AI company</li></ul> 
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients. 
 
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

NodeShift

<div>
 
 
 About NodeShift
 
 
 
 
 
 
 NodeShift is a fast-growing AI infrastructure startup headquartered in Al Maryah Island, Abu Dhabi, the UAE&rsquo;s most prestigious innovation and financial district with a second office in Qatar Financial Centre (QFC), Doha.
 
 
 
 
 
 We design and operate sovereign cloud and generative AI platforms for governments, banks, and national enterprises that require full data control and compliance. Our customers include the Ministry of Economy of the UAE, the Qatar Development Bank, and the Central Bank of the UAE, among others.
 
 
 
 
 
 NodeShift AI &ndash; an enterprise-grade, on-premise generative AI platform featuring 140+ Arabic and English models, built-in governance, and over 80 enterprise integrations, enabling organizations to create secure, private ChatGPT-like environments within their own infrastructure.
 
 
 
 
 
 Founded by a leadership team from Microsoft, X (formerly Twitter), Tesla, and Cisco, and built by a world-class engineering team including Oxford graduates, NodeShift combines global expertise with regional purpose.
 
 
 
 
 
 We&rsquo;re expanding rapidly across the GCC, supporting central banks, ministries, telecoms, and data center operators and shaping the next era of sovereign AI and cloud computing in the region.
 
 
 
 
 
 Joining NodeShift means joining a team that&rsquo;s building the infrastructure of national AI sovereignty - innovative, impactful, and proudly homegrown in the Gulf.
 
 
 
 
 
 Read more about us on TechCrunch.
 
 
 
 
 
 
 Role Description
 
 
 
 
 
 
 We&rsquo;re looking for a highly skilled
 
 DevOps Engineer
 
 to join our growing team. You&rsquo;ll act as the bridge between our product, engineering, and customers - helping organizations design, deploy, and optimize technical solutions that leverage our platform. This is a hands-on, cross-functional role that requires a deep understanding of modern cloud architectures, APIs, and integration patterns.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Collaborate with clients and internal teams to design scalable, secure, and high-performance solutions.
 </li>
 <li>
 Lead technical discovery sessions and translate business needs into actionable architecture.
 </li>
 <li>
 Build proofs-of-concept (POCs), demos, and technical documentation for customers and partners.
 </li>
 <li>
 Work closely with engineering to ensure successful implementations and product fit.
 </li>
 <li>
 Support pre-sales engagements by presenting technical capabilities and addressing customer requirements.
 </li>
 <li>
 Troubleshoot integration issues and provide guidance on best practices.
 </li>
 <li>
 Gather customer feedback and contribute to product roadmap discussions.
 </li>
 <li>
 Deliver enablement sessions, workshops, and onboarding for partners or enterprise clients.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 3+ years of experience in a DevOps, SRE, Solutions Engineer or Sales Engineer / Cloud Engineer role.
 </li>
 <li>
 Strong technical understanding of modern infrastructure: Kubernetes, Docker, REST / GraphQL APIs, and CI/CD workflows.
 </li>
 <li>
 Solid scripting or programming skills (Python, Go, JavaScript, or similar).
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to explain complex ideas clearly.
 </li>
 <li>
 Ability to work autonomously in fast-moving startup or enterprise environments.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with identity and access management (OIDC, SAML, OAuth2).
 </li>
 <li>
 Understanding of networking, VPN (WireGuard, IPSec), or distributed systems.
 </li>
 <li>
 Knowledge of observability tools (Grafana, Prometheus, ELK, etc.).
 </li>
 <li>
 Prior work in AI infrastructure, data platforms, or enterprise SaaS solutions.
 </li>
 <li>
 Contributions to open-source projects or technical writing (blogs, docs, etc.).
 </li>
 </ul>
 
 
 
 
 
 What do we have to offer you?
 
 
 <ul>
 <li>
 Hybrid office / remote-working practices
 </li>
 <li>
 Competitive salary
 </li>
 <li>
 Learning and Development budget
 </li>
 <li>
 24 days PTO
 </li>
 <li>
 Become part of the founding team
 </li>
 <li>
 Real career opportunities with the opportunity to grow quickly in seniority as the team scales&nbsp;
 </li>
 <li>
 Work colleagues that are as smart, hardworking and driven with backgrounds from FAANG companies and leading universities
 </li>
 <li>
 Transparent company culture, open to feedback where you can wear multiple hats at once
 </li>
 </ul>
 
 
 
</div>

<div>We are looking for an experienced Kong Administrator cum Developer responsible for designing, developing, and implementing API solutions using Kong API Gateway. Candidate will work closely with engineers and product managers to ensure that APIs are secure, scalable, and meet business needs.
Key Responsibilities<ul><li>Design, develop, and configure Kong entities (services, routes, plugins, caching, API management, etc.).</li><li>Develop custom Lua scripts for advanced functionality.</li><li>Integrate Kong with existing APIs and backend systems.</li><li>Manage API security, including authentication, authorization, and rate limiting.</li><li>Implement traffic management features like load balancing and caching.</li><li>Monitor, alert, and debug Kong performance and troubleshoot any issues.</li><li>Automate Kong configurations as part of a DevOps pipeline.</li><li>Develop and maintain API documentation using the Kong Developer Portal.</li><li>Stay up-to-date on the latest Kong features and best practices.</li><li>Create, customize, and maintain Kong plugins to extend capabilities. Implement request and response transformations based on customer needs.</li><li>Apply Role-Based Access Control (RBAC) for securing API endpoints.</li></ul>
Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field.</li><li>Proven experience as a Kong Administrator and Developer, with a deep understanding of Kong's architecture and functionalities.</li><li>Strong understanding of API design principles (RESTful APIs, OpenAPI specifications).</li><li>Experience with web services and micro services architectures.</li><li>Proficiency in scripting languages (e.g., Lua, Python).</li><li>Experience with DevOps principles and tools (e.g., Git, CI/CD).</li><li>Excellent problem-solving and debugging skills.</li><li>Strong communication and collaboration skills.</li><li>Certifications in Kong or equivalent.</li><li>Solid understanding of Role-Based Access Control (RBAC) implementations.</li><li>Experience with Kubernetes and Kong Ingress.</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Experience with API security tools (e.g., OAuth, OIDC, Auth0).</li><li>Experience with API testing tools (e.g., Postman, JMeter, Insomnia).</li></ul></div>

Kong Developer

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