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DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in Financial Services and Banking—to bridge the gap between complex data and actionable business strategy. At DeepLight, we don't believe in "off-the-shelf" 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. As we expand our footprint across the GCC, we are seeking a talented Site Reliability Engineer (SRE) to join our technical squad and own the ultimate production readiness, resilience, and operational health of our cutting-edge AI solutions. The Opportunity If you thrive at the intersection of automated software engineering, high-scale cloud infrastructure, and next-generation AI evaluation, this role was built for you. As our Site Reliability Engineer, you will bridge application quality, MLOps, and cloud resilience. You will build the automated test suites that validate complex LLM and RAG model outputs, engineer chaos-resilient cloud environments, and establish bulletproof observability frameworks—ensuring our applications deliver lightning-fast, banking-grade performance under heavy enterprise traffic. What You'll Do Implement load testing, fault-injection techniques, and self-healing automation to ensure web/mobile backends and AI microservices easily sustain banking-scale traffic Build Python-driven, CI/CD-integrated regression test suites that validate application logic, data pipelines, and Infrastructure as Code (IaC) states Define and track critical Service Level Indicators (SLIs) and Objectives (SLOs). Set up real-time telemetry, dashboards, and proactive alerting to catch performance degradation before users do Integrate specialized AI evaluation harnesses (e.g., DeepEval, Ragas) into deployment pipelines to benchmark model accuracy, hallucinations, and retrieval performance (RAG) Automate security scans and privacy checks to satisfy strict banking data residency standards, while monitoring compute efficiency to eliminate redundant cloud spend Why Join DeepLight AI? You'll be working on High-Impact Systems: Helping to build and deploy real-world, secure AI applications for premier regional enterprise clients A Culture of Excellence: You'll Collaborate with a world-class team of architects, data engineers, and AI specialists who value craft, accountability, and practical problem-solving Growth & Impact: You'll take clear ownership of high-visibility platforms, contribute directly to reusable firm IP, and shape how AI is securely deployed across the Middle East As an AI consultancy, our greatest asset is the expertise of our people. While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high-level stakeholders. If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in. Requirements What We're Looking For High proficiency in Python (mandatory) and Bash scripting, alongside automation test frameworks like PyTest, Selenium, or Robot Framework Strong hands-on experience with Azure or AWS, focusing on cloud networking, auto-scaling topologies, containerized environments, and serverless reliability Modern Tooling Command: CI/CD & IaC: GitHub Actions, Azure DevOps, and Terraform (reading/validating state) Performance & Load: K6 or JMeter Observability: Azure Monitor, AWS CloudWatch, Grafana, or Prometheus Solid grasp of prompt engineering, RAG architectures, and model evaluation metrics (ROUGE/BLEU scores, LLM benchmarks, LangSmith/Ragas) Experience operating in financial services, banking, or highly regulated enterprise environments where zero downtime and data privacy are non-negotiable It would also be great if you have: Experience managing production Kubernetes clusters (AKS/EKS), service meshes, and container security scanners Familiarity with UAE Central Bank regulatory guidelines, NESA security compliance, and data residency mandates Formal industry credentials such as AWS Certified SysOps Administrator, Microsoft Certified: Azure Administrator Associate, Certified Kubernetes Administrator (CKA), or SRE certifications Benefits The benefits you'll enjoy as part of this role include: Competitive salary Comprehensive personal health insurance Visa Sponsorship for the successful individual Professional development and certification support Subscription reimbursement relating to your role Opportunity to work on cutting-edge AI projects Monthly Employee Incentive program Career advancement opportunities in a rapidly growing AI company 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.