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- Tasks: Design and automate cloud infrastructure, manage CI/CD pipelines, and ensure system reliability.
- Company: AI71 is an innovative research team focused on impactful AI solutions for knowledge workers.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and mentorship.
- Why this job: Join a high-growth team where you can shape technology and culture from day one.
- Qualifications: Bachelor’s degree in a related field and 3+ years of DevOps experience required.
- Other info: Ideal for builders who thrive in green-field architecture and rapid iteration.
The predicted salary is between 60000 - 84000 ÂŁ per year.
Location: Abu Dhabi
Company: AI71
About Us
AI71 is an applied research team dedicated to building responsible and impactful AI agents that empower knowledge workers. We work closely with our industry partners and leverage cutting-edge research from the Technology Innovation Institute (TII) to develop AI products that drive transformative change.
About the Role
As a DevOps Engineer at AI71, you will own the pipelines, platforms, and processes that let our researchers ship AI from notebook to production at lightning speed and enterprise scale. You’ll design and automate cloud‑native infrastructure, champion CI/CD best practices, and ensure our GenAI services run reliably, securely, and cost‑effectively across staging, test, and high‑availability production environments. This is an early‑stage, high‑growth environment—perfect for builders who like green‑field architecture, rapid iteration, and the chance to shape both culture and tech stack from day one.
Key Responsibilities
- Design & Build Cloud Infrastructure: Architect scalable, secure, and cost‑optimized Kubernetes‑based environments (EKS/GKE/AKS or on‑prem k8s). Codify infrastructure with Terraform, Pulumi, or similar IaC, implementing GitOps‑style workflows.
- End‑to‑End CI/CD Automation: Create and maintain CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or Argo Workflows) for containerized microservices, ML model training, and inference workloads. Integrate automated testing, security scans, and policy checks into the release process.
- Observability & Reliability Engineering: Implement comprehensive monitoring, logging, and tracing stacks (Prometheus/Grafana, Loki, ELK, OpenTelemetry). Define SLOs/SLA dashboards; lead incident response, root‑cause analysis, and post‑mortems.
- Security & Compliance: Embed DevSecOps practices—secrets management, container image hardening, zero‑trust networking, vulnerability management, and compliance automation (ISO 27001, SOC 2).
- Collaborate with ML/AI Teams: Package and deploy large‑language‑model (LLM) training jobs on distributed GPU clusters (Slurm, Ray, Kubeflow, or AWS SageMaker). Optimize model‑serving (Triton, vLLM, TorchServe) for low‑latency, high‑throughput inference.
- Cost & Performance Optimization: Track cloud spend, right‑size resources, and introduce autoscaling strategies (Karpenter, Cluster‑Autoscaler, HPA/VPA). Champion FinOps best practices and forecasting.
- Culture & Process: Mentor engineers on DevOps fundamentals. Establish runbooks, playbooks, and robust documentation to support rapid onboarding and knowledge sharing.
Required Qualifications
- Bachelor’s degree in computer science, Engineering, or related field (or equivalent practical experience).
- 3+ years of hands‑on DevOps/SRE experience building and operating production systems.
- Proficiency with at least one major cloud provider (AWS, GCP, Azure) and container orchestration (Kubernetes, Docker).
- Strong skills in Infrastructure‑as‑Code (Terraform, CloudFormation, Pulumi, or CDK).
- Experience implementing CI/CD for microservices or ML pipelines.
- Solid understanding of networking, Linux, and security fundamentals.
Preferred Qualifications
- Experience supporting GPU‑accelerated workloads or MLOps/LLMOps platforms.
- Familiarity with service mesh (Istio, Linkerd) and event‑driven architectures (Kafka, Pub/Sub).
- Knowledge of distributed storage systems (Ceph, MinIO, S3) and artifact registries.
- Certifications: CKA/CKAD, AWS DevOps Engineer Professional, or equivalent.
- Track record in early‑stage or high‑growth tech environments.
- Excellent communication skills; ability to partner with researchers, backend engineers, and product stakeholders.
Senior DevOps Engineer [UAE Based] employer: AI71
Contact Detail:
AI71 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior DevOps Engineer [UAE Based]
✨Tip Number 1
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Kubernetes, Terraform, and CI/CD pipelines. Having hands-on experience or projects showcasing these skills can set you apart during discussions.
✨Tip Number 2
Network with current or former employees of AI71 on platforms like LinkedIn. Engaging in conversations about their experiences can provide valuable insights into the company culture and expectations, which you can leverage in your application.
✨Tip Number 3
Prepare to discuss your past experiences in building and operating production systems. Be ready to share specific examples of how you've implemented DevOps practices, particularly in high-growth environments, as this aligns closely with what AI71 is looking for.
✨Tip Number 4
Showcase your understanding of the latest trends in AI and DevOps during interviews. Being able to discuss how these trends can impact the role and the company will demonstrate your passion and forward-thinking mindset, making you a more attractive candidate.
We think you need these skills to ace Senior DevOps Engineer [UAE Based]
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in DevOps, particularly with cloud infrastructure and CI/CD automation. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for AI and DevOps. Mention specific projects or experiences that align with the responsibilities listed in the job description, such as building Kubernetes environments or implementing CI/CD pipelines.
Showcase Technical Skills: In your application, clearly outline your technical skills related to the required qualifications. Include your proficiency with cloud providers, container orchestration, and Infrastructure-as-Code tools, as well as any relevant certifications.
Highlight Collaboration Experience: Since the role involves collaboration with ML/AI teams, emphasise any past experiences where you worked closely with cross-functional teams. This could include mentoring engineers or participating in incident response activities.
How to prepare for a job interview at AI71
✨Showcase Your Technical Skills
Be prepared to discuss your hands-on experience with cloud providers and container orchestration. Highlight specific projects where you've implemented CI/CD pipelines or worked with Infrastructure-as-Code tools like Terraform.
✨Demonstrate Problem-Solving Abilities
Expect scenario-based questions that assess your ability to troubleshoot and optimise systems. Prepare examples of past incidents you've managed, focusing on your approach to root-cause analysis and incident response.
✨Understand the Company Culture
Research AI71's mission and values. Be ready to discuss how your personal work ethic aligns with their focus on responsible AI and collaboration with industry partners. This shows your genuine interest in the role.
✨Prepare Questions for Them
Have insightful questions ready about their current tech stack, team dynamics, and future projects. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.
