devops engineer

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backend engineer

devops engineer (6 months contract) Jobs in Abu Dhabi

devops engineer (6 months contract)

devops engineer - azure Jobs in Abu Dhabi

devops engineer - azure

cloud and devops engineer

Saal.ai

<div>
 <p>
  <strong>
   Job Purpose:
  </strong>
 </p>
 <p>
  As a DevOps Engineer, you will be responsible for implementing and maintaining the systems and processes that enable efficient and automated software development, deployment, and operations. You will collaborate with cross-functional teams to enhance our development and operations lifecycle, enabling faster and more reliable software delivery.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Specific Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain a scalable and efficient infrastructure for software development, testing, and deployment.
  </li>
  <li>
   Implement and maintain continuous integration and continuous delivery (CI/CD) pipelines, ensuring smooth and automated software releases.
  </li>
  <li>
   Collaborate with software developers to streamline build, deployment, and release processes.
  </li>
  <li>
   Handling deployments at customer premises.
  </li>
  <li>
   Monitor and optimize system performance, ensuring high availability and scalability.
  </li>
  <li>
   Implement and maintain configuration management tools and practices, ensuring consistency across environments.
  </li>
  <li>
   Implement and maintain containerization and orchestration technologies such as Docker and Kubernetes.
  </li>
  <li>
   Collaborate with security teams to implement and enforce best practices for infrastructure and application security.
  </li>
  <li>
   Troubleshoot and resolve issues related to infrastructure, deployments, and performance.
  </li>
  <li>
   Stay up-to-date with emerging technologies and industry trends related to DevOps and cloud computing.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Essential Skills:
  </strong>
 </p>
 <ul>
  <li>
   Proven experience working as a DevOps Engineer or in a similar role.
  </li>
  <li>
   Strong knowledge of software development methodologies and best practices.
  </li>
  <li>
   Experience with cloud computing platforms such as AWS, Azure, or Google Cloud.
  </li>
  <li>
   Proficiency in any of the scripting languages such as Python, Bash etc.
  </li>
  <li>
   Experience with any of the CI/CD tools such as Jenkins, GitLab CI/CD, or CircleCI.
  </li>
  <li>
   Hands-on experience with containerization and orchestration technologies like Docker and Kubernetes.
  </li>
  <li>
   Understanding of networking concepts, including TCP/IP, DNS, load balancing, and firewalls.
  </li>
  <li>
   Strong problem-solving skills and the ability to work independently as well as in a team environment.
  </li>
  <li>
   Excellent communication and collaboration skills, with the ability to interact effectively with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Desirable Skills:
  </strong>
 </p>
 <ul>
  <li>
   Certification in DevOps-related technologies (e.g., AWS Certified DevOps Engineer, Certified Kubernetes Administrator).
  </li>
  <li>
   Experience with infrastructure-as-code tools like Terraform or CloudFormation.
  </li>
  <li>
   Knowledge of monitoring and logging tools such as ELK Stack, Prometheus, or Grafana.
  </li>
  <li>
   Understanding of Agile and DevOps methodologies.
  </li>
  <li>
   Familiarity with database management systems like MySQL, PostgreSQL, and MongoDB.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


DevOps Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

Qode

<div><p><b>Job Description &mdash; Confidential</b></p><p><b>
hr@ithr360.com</b><b> | </b><b>www.ithr360.com</b></p><p><b>
Network Security Engineer</b></p><p><b>
Professional Services &middot; Network Security Practice</b></p><p><b>
Location:</b> UAE / Middle East (On-site)</p><p><b>
Employment Type:</b> Full-Time</p><p><b>
Department:</b> Professional Services &ndash; Network Security</p><p><b>
Experience:</b> 4&ndash;8 Years (Network / Network Security)</p><p><b>
Reports To:</b> Head of Technical Delivery</p><p><b>
ABOUT ITHR</b></p><p>
ITHR is a technology consulting and professional services organisation supporting enterprises across the UAE and Middle East with digital transformation, cybersecurity, ERP implementation, talent solutions, and managed technology services. We partner with organisations to design, implement, and optimise secure and scalable technology environments that enable business growth and operational resilience.</p><p>
Our Network Security Practice delivers enterprise-grade security solutions spanning next-generation firewalls, secure connectivity, zero trust architectures, cloud-delivered security, and managed network security services. As organisations continue to modernise their infrastructure, network security remains a critical pillar of our delivery capability and an important area of strategic growth.</p><p><b>
ROLE OVERVIEW</b></p><p>
We are looking for an experienced Network Security Engineer to join our technical delivery team. This is a hands-on role spanning the full project lifecycle &mdash; from pre-sales Proof-of-Concept (PoC) environments and solution design through to deployment, integration, and post-go-live support across enterprise customer environments.</p><p>
You will be the technical authority on network security engagements, working directly with customers onsite and remotely to deliver firewall deployments, policy migrations, network segmentation programmes, and secure access solutions. You will also contribute to our managed network security service, where ongoing policy management, health monitoring, and incident escalation are part of the scope.</p><p>
The role requires deep expertise in at least one major firewall vendor ecosystem, strong networking fundamentals, and the confidence to lead technical conversations and produce customer-ready documentation independently.</p><p><b>
KEY RESPONSIBILITIES</b></p><ul><li>
Design, deploy, and configure next-generation firewalls (NGFW) across enterprise customer environments &mdash; including Palo Alto Networks, Fortinet FortiGate, and Cisco platforms.</li><li>
Design, build, and execute PoC environments for prospective customers during the pre-sales stage &mdash; defining success criteria, standing up the solution, running demonstrations, and producing outcome reports to support deal progression.</li><li>
Develop key project deliverables: High-Level Designs (HLDs), Low-Level Designs (LLDs), project plans, firewall ruleset documentation, and network security policy frameworks.</li><li>
Perform firewall policy reviews, rule base optimisations, and security posture assessments &mdash; identifying unnecessary exposure, rule bloat, and misconfigurations in existing customer environments.</li><li>
Configure and manage site-to-site and remote access VPN solutions &mdash; IPSec, SSL/TLS, and zero trust network access integrations.</li><li>
Implement network segmentation and micro-segmentation strategies &mdash; designing zone-based architectures, DMZ configurations, and east-west traffic controls.</li><li>
Deploy and tune Intrusion Prevention Systems (IPS), URL filtering, application control, SSL inspection, and threat prevention profiles.</li><li>
Integrate network security platforms with SIEM, SOAR, and log management infrastructure &mdash; ensuring relevant telemetry flows to the SOC for monitoring and alerting.</li><li>
Configure and support SD-WAN solutions and their integration with cloud-delivered security services where applicable.</li><li>
Support integration of SASE/SSE platforms (Zscaler, Netskope, or similar) alongside or in place of traditional perimeter controls where customer architecture demands it.</li><li>
Conduct technical workshops, customer onboarding sessions, and knowledge transfer with customer network teams post-deployment.</li><li>
Produce thorough as-built documentation and operational runbooks suitable for customer sign-off and ongoing managed service handover.</li><li>
Provide post-deployment support, troubleshoot complex network security issues, and act as technical escalation during the warranty and stabilisation phase.</li><li>
Contribute to internal delivery standards, PoC playbooks, and best-practice guides as the network security practice matures.</li></ul><p><b>
REQUIRED QUALIFICATIONS (MUST-HAVE)</b></p><ul><li>
4&ndash;8 years of hands-on experience in network security or network engineering roles, with a strong delivery track record in enterprise environments.</li><li>
Deep practical expertise with at least one major NGFW platform &mdash; Palo Alto Networks (PAN-OS), Fortinet (FortiOS), or Cisco (FTD/ASA) &mdash; including design, deployment, and advanced feature configuration.</li><li>
Strong networking fundamentals: routing (BGP, OSPF, static), switching, VLANs, NAT, QoS, spanning tree, and packet-level troubleshooting.</li><li>
Hands-on experience with VPN technologies &mdash; IPSec IKEv1/v2, SSL VPN, and remote access architectures.</li><li>
Practical knowledge of network security architecture principles &mdash; zone design, least privilege, defence-in-depth, and perimeter versus zero trust models.</li><li>
Experience performing firewall policy reviews and rule optimisation in live customer environments.</li><li>
Ability to develop HLDs, LLDs, and customer-facing documentation to a professional standard independently.</li><li>
Comfortable working onsite with enterprise customers, leading technical workshops, and managing stakeholder expectations.</li><li>
At least one of the mandatory certifications listed below must be held at the time of application.</li></ul><p><b>
CERTIFICATIONS</b></p><p>
Candidates must hold at least one mandatory certification. Additional certifications &mdash; particularly from multiple vendor ecosystems &mdash; are a strong differentiator.</p><p>
Alto Networks Certified Network Security Engineer (PCNSE) Palo Alto Networks Mandatory (one required)</p><p>
Cisco CCNP Security Cisco Mandatory (one required)</p><p>
Fortinet NSE 7 / FCSS &ndash; Secure Networking FortinetMandatory (one required)</p><p>
Zscaler Certified Administrator (ZCCA-IA / ZCCA-PA / ZCP) Zscaler Good to Have</p><p>
Netskope Administrator / Integrator Accreditation Netskope Good to Have
</p><p>Palo Alto PCNSA Palo Alto Networks Good to Have</p><p>
Fortinet NSE 4 / NSE 5 Fortinet Good to Have
</p><p>Cisco CCNA / CCNA Security Cisco Good to Have</p><p>
Check Point CCSA / CCSE Check Point Good to Have</p><p><b>
PREFERRED QUALIFICATIONS (NICE-TO-HAVE)</b></p><ul><li>
Hands-on experience with Zscaler (ZIA/ZPA) or Netskope as part of a SASE/SSE architecture.</li><li>
Experience with Check Point firewalls, SmartConsole, policy management, and R8x administration.</li><li>
Familiarity with network access control solutions such as Forescout, Cisco ISE, or Aruba ClearPass.</li><li>
Experience with SD-WAN platforms including Fortinet Secure SD-WAN, Palo Alto Prisma SD-WAN, Cisco Meraki, or similar technologies.</li><li>
Exposure to cloud networking and security including Azure Virtual WAN, AWS Transit Gateway, cloud-native security groups, and cloud firewall deployments.</li><li>
Familiarity with packet capture and traffic analysis tools such as Wireshark and tcpdump.</li><li>
Scripting or automation experience using Python, Ansible, or REST APIs.</li><li>
Prior delivery experience in the UAE or broader Middle East region.</li></ul><p><b>
SOFT SKILLS &amp; PROFESSIONAL ATTRIBUTES</b></p><ul><li>
Technically rigorous with a strong focus on secure architecture and attention to detail.</li><li>
Customer-confident and comfortable leading workshops, presentations, and design discussions.</li><li>
Methodical under pressure with structured troubleshooting capabilities.</li><li>
Clear communicator able to explain technical concepts to business stakeholders.</li><li>
Collaborative and delivery-focused, working effectively with project managers, pre-sales teams, and operations groups.</li></ul><p><b>
WHAT WE OFFER</b></p><ul><li>
Competitive Compensation &mdash; Strong base salary with incentives linked to delivery quality and project outcomes.</li><li>
Training &amp; Certification Budget &mdash; Dedicated annual budget for certifications, vendor training, and lab environments.</li><li>
Multi-vendor Exposure &mdash; Work across Palo Alto, Fortinet, Cisco, SASE, and cloud security platforms.</li><li>
Regional Delivery &mdash; Exposure to projects across the UAE and wider Middle East region.</li><li>
Growth Path &mdash; Clear progression into Senior Network Security Engineer, Solutions Architect, or Practice Lead roles.</li><li>
Culture &mdash; A collaborative technology-focused team that values technical excellence, ownership, customer success, and execution.</li></ul></div><p></p>

Network Security Engineer

Atain

<div>
 <p>
  <strong>
   Job Title: AI Engineer &ndash; Azure Databricks | Agentic AI | MCP Servers
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7&ndash;12 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi, UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Summary
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for an experienced
  <strong>
   AI Engineer
  </strong>
  with strong expertise in
  <strong>
   Azure Databricks, Agentic AI, and Model Context Protocol (MCP) Servers
  </strong>
  to design and develop next-generation AI solutions for enterprise applications. The ideal candidate will have hands-on experience in building LLM-powered applications, multi-agent systems, and scalable AI data pipelines. Experience in the
  <strong>
   Revenue Management domain
  </strong>
  is a strong advantage.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and deploy AI solutions using
   <strong>
    Azure Databricks
   </strong>
   , Python, and modern AI frameworks.
  </li>
  <li>
   Build and orchestrate
   <strong>
    Agentic AI
   </strong>
   applications using multi-agent architectures and autonomous workflows.
  </li>
  <li>
   Develop, integrate, and manage
   <strong>
    Model Context Protocol (MCP) Servers
   </strong>
   for secure tool and data access.
  </li>
  <li>
   Design and implement
   <strong>
    Retrieval-Augmented Generation (RAG)
   </strong>
   pipelines for enterprise AI applications.
  </li>
  <li>
   Fine-tune, evaluate, and optimize Large Language Models (LLMs) for business use cases.
  </li>
  <li>
   Build scalable data pipelines using
   <strong>
    PySpark
   </strong>
   , SQL, and Delta Lake on Azure Databricks.
  </li>
  <li>
   Integrate AI applications with enterprise systems, APIs, and cloud services.
  </li>
  <li>
   Collaborate with data engineers, product teams, and business stakeholders to deliver AI-driven solutions.
  </li>
  <li>
   Monitor AI model performance, ensure governance, security, and responsible AI practices.
  </li>
  <li>
   Stay updated with emerging AI technologies and recommend innovative solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   7&ndash;12 years of overall IT experience with strong AI/ML development expertise.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Azure Databricks
   </strong>
   ,
   <strong>
    PySpark
   </strong>
   , Python, and SQL.
  </li>
  <li>
   Strong experience building
   <strong>
    Agentic AI
   </strong>
   solutions and multi-agent orchestration.
  </li>
  <li>
   Experience developing and deploying
   <strong>
    MCP Servers
   </strong>
   .
  </li>
  <li>
   Expertise in
   <strong>
    Large Language Models (LLMs)
   </strong>
   , Prompt Engineering, RAG, Vector Databases, and AI orchestration frameworks.
  </li>
  <li>
   Experience with
   <strong>
    Azure AI Services
   </strong>
   , Azure OpenAI, or similar cloud AI platforms.
  </li>
  <li>
   Knowledge of REST APIs, microservices, and cloud-native architectures.
  </li>
  <li>
   Strong problem-solving skills and ability to work in Agile environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Atain:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   (http://www.atain.com)
  </strong>
 </p>
 <p>
  Atain is an enterprise orchestration partner that aligns people, processes, and platforms with AI to redefine work and deliver assured outcomes. It is enabled through the SMART Frameworkdriving superior metrics with AI-redefined work, the TechBud platform, a GenAI foundation built on zero-pilot architecture and ISO 42001 standards, a robust partner ecosystem, and deep domain expertise. Atain's Unified Hub continuously senses, predicts, and re-orchestrates work across people, processes, and platforms to deliver assured outcomes. The centers of skill and scale combine deep expertise with AI to deliver assured outcomes. For more information, visit www.atain.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  Atain is ISO 27001:2013, CMMI SVC Level 5 and ISAE-3402 compliant for IT, and COPC Certified v6.0, ISO 27001:2013 and PCI DSS 3.2 certified for BPO processes. The organization follows Six Sigma rigor for process improvements.
 </p>
 <p>
  <br/>
 </p>
 <p>
  It is our policy to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, gender identity, sexual orientation, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status, and to maintain a non-discriminatory environment free from intimidation, harassment or bias based upon these grounds.
 </p>
</div>


Artificial Intelligence Engineer

Deeplight

<p></p><div><p>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&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
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.</p><p>
As a Senior Full Stack AI Engineer, you will be the ultimate bridge between advanced data science and enterprise-scale software architecture. This role is designed for a rare breed of engineer: someone who possesses the deep mathematical and modeling background required to design advanced AI and Generative AI systems, paired with the full-stack infrastructure capabilities needed to deploy, containerize, scale, and monitor them across hybrid, cloud, and on-premise environments.</p><p>
Operating within complex client landscapes&mdash;such as premier banking and financial institutions (e.g., ADCB)&mdash;you will own the full engineering lifecycle of AI applications. You will design secure, highly performant systems, orchestrate massive data pipelines, optimize cloud spend, and establish robust MLOps practices that guarantee production stability.</p>
Key ResponsibilitiesEnd-to-End AI Architecture &amp; Full-Stack Design<ul><li>
Architect end-to-end, highly secure AI and Generative AI systems capable of running seamlessly across both secure on-premise data centers and public cloud infrastructures (Azure/AWS).</li><li>
Design, build, and optimize high-throughput, secure APIs to serve complex AI models and agentic workflows to consuming client applications.</li><li>
Seamlessly integrate proprietary cloud foundation models (GPT, Claude, Gemini) and fine-tuned open-source models into unified software ecosystems.</li></ul>
Deep Learning &amp; Advanced AI Engineering<ul><li>
Leverage a deep theoretical understanding of Transformers, PyTorch, and TensorFlow to implement, evaluate, and optimize deep learning models across NLP and Computer Vision domains.</li><li>
Design scalable knowledge retrieval frameworks using embedding models and enterprise-grade Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss).</li><li>
Build and evaluate robust systematic prompting frameworks and compile complex models using ONNX for optimized, low-latency production inference.</li></ul>
Infrastructure, MLOps &amp; FinOps<ul><li>
Own the containerization and scaling of AI services utilizing Docker and Kubernetes clusters across development and production environments.</li><li>
Build and automate robust MLOps continuous integration and deployment pipelines to track model lineage, versions, evaluations, and production drift.</li><li>
Implement strict FinOps practices to track, monitor, and radically optimize token usage, cloud compute consumption, and inferencing costs.</li><li>
Architect and optimize large-scale data processing systems using modern Big Data tools to feed raw information into AI training and embedding workflows.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>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.
</i><br>
<i>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.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
Extensive experience designing, launching, and managing containerized AI/ML or data-intensive applications in highly regulated enterprise environments.</li><li>
A proven track record applying deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) fields.</li><li>
Practical experience implementing production-grade model monitoring frameworks and optimizing complex cloud/token expenditure.</li><li>
Deep operational command of Docker and enterprise Kubernetes infrastructure for running distributed AI applications.</li><li>
Expert-level knowledge of Azure (or alternative major clouds) alongside a strong architectural grasp of on-premise deployment constraints, data security, and network topologies.</li><li>
Strong proficiency in Big Data toolsets and modern API gateway designs.</li><li>
A rigorous, foundational grasp of transformer architectures, embedding mechanics, and deep learning implementations via PyTorch/TensorFlow.</li><li>
High proficiency across SQL, NoSQL, and Vector Database engines.</li><li>
&quot;Perfect-tier&quot; software engineering skills in Python and advanced data processing techniques.</li></ul><p></p><p>
It would also be great if you have:</p><p></p><ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a highly relevant quantitative discipline.</li><li>
Deep domain experience within banking, understanding strict data residency laws, financial compliance protocols, and legacy core banking interactions.</li><li>
Practical experience with agentic frameworks (e.g., LangChain, LlamaIndex, AutoGen) and modern cloud MLOps suites (e.g., Azure AI Studio, Kubeflow).</li></ul><p></p><b><br>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<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><p><i><br>
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.</i><br>
<br>
<i>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.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
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.</i></p></div>

Senior Full Stack Engineer

Acenet

<p>About Us:<br/>AceNet Consulting is a fast-growing global business and technology consulting firm leveraging a consultative approach, deep domain expertise and strong technology capabilities across business transformation, IT strategy &amp; architecture, digital transformation, data engineering &amp; analytics, AI/ML, cloud &amp; infrastructure, enterprise applications and emerging technologies to deliver value to our global clients. AceNet&rsquo;s marquee clients include Tier-1 and Tier-2 banking &amp; financial services, asset &amp; wealth management, healthcare, consumer retail, eCommerce &amp; logistics, engineering, government &amp; public sectors, consulting and technology firms. With presence across Abu Dhabi UAE, Texas USA and India (Bangalore, Gurgaon &amp; Pune), AceNet brings strong consulting and delivery capabilities across project staffing, managed services, outsourcing and offshoring.</p><p>Job Summary<br/>We are seeking skilled Senior Azure Integration Developers with strong hands-on experience in building and supporting enterprise-grade integration solutions on Microsoft Azure.<br/>The ideal candidate will have expertise in Azure Integration Services and will contribute to designing, developing, and deploying scalable, secure, and high-performing integration solutions aligned with enterprise standards.</p><p>Key Responsibilities:<br/>* Design, develop, and implement integration solutions using Azure Integration Services such as Logic Apps, Azure Functions, API Management, Service Bus, Event Grid, and Azure Data Factory.<br/>* Collaborate with architects and senior stakeholders to translate business requirements into technical integration solutions.<br/>* Develop and maintain APIs, workflows, and messaging solutions following best practices and enterprise standards.<br/>* Participate in solution design discussions with a focus on scalability, performance, and security.<br/>* Implement reusable components, templates, and integration patterns to improve delivery efficiency.<br/>* Contribute to CI/CD pipeline development using Azure DevOps or GitHub for automated deployments.<br/>* Monitor and troubleshoot integration solutions, ensuring high availability and performance.<br/>* Work closely with cross-functional teams including infrastructure, security, and application teams for seamless solution delivery.<br/>* Ensure adherence to governance, compliance, and security policies across all integration implementations.</p><p>Role Requirements &amp; Qualification:<br/>* Extensive experience designing and implementing complex integration solutions on Azure.<br/>* Strong expertise in API architecture, event-driven architecture, and messaging systems.<br/>* Proven experience in performance optimization, scalability, and secure integrations.<br/>* Good exposure to Azure infrastructure components (VNet, Private Endpoints, Key Vault, Monitoring).<br/>* Ability to guide junior developers and contribute to solution design.<br/>* Strong communication and collaboration skills.<br/>* Problem-solving mindset with attention to detail.<br/>*Ability to work in agile and fast-paced environments.<br/>*Ownership mindset with a focus on quality and timely delivery.</p><p>Why Join Us:<br/>* Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.<br/>* Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.<br/>* Competitive compensation &amp; benefits, ESOPs and international assignments.<br/>* Supportive environment with healthy work-life balance and a focus on employee well-being.<br/>* Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</p><p>Work Location: In person</p>

SharePoint Online Developer (Power Platform)

<p></p><div><p>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&mdash;with a deep-rooted expertise in Financial Services and Banking&mdash;to bridge the gap between complex data and actionable business strategy.</p><p>
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.</p><p>
As a Senior AI Engineer, you will drive the design, development, and deployment of production-grade Artificial Intelligence and Generative AI solutions. This role sits at the intersection of cutting-edge research and enterprise-scale application engineering, specifically focused on delivering high-impact, secure, and performant intelligent systems for premier clients in regulated spaces like financial services and banking.</p><p>
You will act as a technical pillar within the AI squad&mdash;collaborating with Data Architects, UI Engineers, and delivery leads to transform complex business requirements into robust, production-ready AI agents and pipelines. This role demands exceptional technical mastery, a deep commitment to architectural integrity, and a proactive approach to solving ambiguous data challenges.</p>
Key ResponsibilitiesGenerative &amp; Agentic AI Engineering<ul><li>
Cognitive Systems Architecture: Design, build, and optimize enterprise-grade Generative AI applications and multi-agent frameworks capable of complex reasoning and autonomous task execution.</li><li>
Knowledge Retrieval Systems: Architect and maintain scalable Retrieval-Augmented Generation (RAG) pipelines utilizing advanced vector databases and semantic search strategies.</li><li>
Advanced Prompt Engineering: Develop and systematically evaluate advanced prompting techniques, guardrails, and context-window management strategies to ensure predictable, secure model behavior.</li></ul>
Deep Learning &amp; Model Optimization<ul><li>
Core Modeling &amp; Execution: Train, fine-tune, and deploy deep learning models across both Natural Language Processing (NLP) and Computer Vision (CV) domains.</li><li>
Open-Source &amp; Cloud Integration: Evaluate and deploy both proprietary cloud models (e.g., GPT, Claude) and open-source foundation models, balancing performance, latency, and cost.</li><li>
Edge &amp; Inference Optimization: Convert and optimize models for efficient production deployment and runtime inference using formats like ONNX.</li></ul>
Data &amp; MLOps Infrastructure<ul><li>
Data Processing Pipelines: Architect and refine complex, highly performant data preprocessing and feature engineering pipelines for unstructured and structured data.</li><li>
Database Governance: Design and optimize high-throughput queries across relational SQL databases and specialized NoSQL/Vector data stores.</li><li>
Rigorous Evaluation: Establish robust, data-driven model evaluation frameworks to continuously benchmark accuracy, drift, latency, and safety in production.</li></ul><p></p><p><i>
As an AI consultancy, our greatest asset is the expertise of our people.
</i><br>
<i>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.
</i><br>
<i>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.
</i><br>
<i>You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
</i><br>
<i>If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.</i></p><p></p><b><br>
Requirements</b><p><br>
We need you to have:</p><p></p><ul><li>
A proven track record of designing, evaluating, and operating AI/ML models in high-availability enterprise or production environments.</li><li>
Demonstrated professional or research experience spanning both Natural Language Processing (NLP) and Computer Vision (CV).</li><li>
Hands-on experience leveraging enterprise cloud AI infrastructures (such as Azure AI Studio or AWS Bedrock) to deploy foundation models.</li></ul>
AI, Modeling &amp; Frameworks<ul><li>
Deep conceptual and practical understanding of Large Language Models (LLMs), agentic workflows, function calling, and embedding models.</li><li>
Expert proficiency in PyTorch and TensorFlow for building, training, and troubleshooting deep neural networks.</li><li>
A practical understanding of model compilation, quantization, and deployment optimization via ONNX runtime.</li><li>
High proficiency in configuring and querying Vector Databases (e.g., Azure DocumentDB, Elasticsearch, Faiss) alongside extensive knowledge of enterprise SQL and NoSQL architectures.</li></ul>
Software Engineering &amp; Core Tools<ul><li>
Perfect-tier coding skills in Python, with a command of asynchronous programming, design patterns, and clean, modular code architecture.</li><li>
Advanced capabilities in processing massive datasets utilizing standard data ecosystems (e.g., Pandas, NumPy, Polars, or PySpark)</li></ul><p></p><p>
It would also be great if you had:</p><br>
<ul><li>
An MSc or PhD in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a highly related quantitative field.</li><li>
Prior experience engineering AI solutions within banking, fintech, or highly regulated corporate environments (e.g., familiarity with data privacy, compliance, and secure financial data models).</li><li>
Familiarity with framework libraries such as LangChain, LlamaIndex, or AutoGen for agentic workflow construction.</li></ul><br>
<b>
Benefits</b><p><b><br>
The benefits you'll enjoy as part of this role include:</b></p><br>
<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><p><i><br>
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.</i><br>
<br>
<i>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.</i></p><p><i>
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.</i></p><p><i>
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.</i></p></div>

Senior AI Engineer

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