Qureos Mentor

Deeplight AI

<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 "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.
 
 
 The Senior AI DevOps Engineer is a senior technical leadership position responsible for designing and implementing secure, scalable, and highly compliant cloud architectures across both Azure and AWS for core banking and AI platforms. Operating at the intersection of enterprise architecture and automated platform engineering, this role translates complex business requirements into robust high-level (HLD) and low-level designs (LLD). The successful candidate leads the institution's hybrid-cloud strategy, FinOps optimization, and zero-trust security implementations, ensuring all cloud-native platforms maintain absolute alignment with financial regulations (e.g., PCI-DSS, ISO/IEC 27001) while providing technical mentorship to engineering squads.
 
 
 
 You responsibilities within this role include:
 
 
 
 <ul>
 <li>
 Hybrid Cloud Architectural Design: Architect and engineer secure, resilient multi-cloud infrastructures spanning Azure and AWS, creating comprehensive high-level and low-level technical designs
 </li>
 <li>
 Security, Compliance &amp; Governance: Implement enterprise-grade cloud governance frameworks, enforcing automated compliance-as-code and zero-trust network boundaries to meet strict financial regulatory baselines
 </li>
 <li>
 FinOps &amp; Resource Optimization: Establish cloud cost-management frameworks and resource optimization strategies to ensure high-performance infrastructure remains cost-effective
 </li>
 <li>
 CI/CD &amp; Pipeline Governance: Design and secure end-to-end multi-cloud deployment pipelines, embedding automated vulnerability gating, code auditing, and deployment compliance controls
 </li>
 <li>
 Technical &amp; Stakeholder Leadership: Act as a key technical advisor to senior business units and risk committees, defending architectural decisions and technical risk trade-offs clearly
 </li>
 <li>
 Engineering Mentorship: Provide technical guidance and mentorship to mid-level engineering and development teams, driving best practices in infrastructure automation, cloud routing, and identity management
 
 
 </li>
 </ul>
 Senior leaders at DeepLight are responsible for delivering results and developing people. Utilising coaching skills to encourage and support growth whilst balancing the requirement for excellence in results.
 
 
 
 Coaching
 
 
 
 <ul>
 <li>
 Growing future leaders through mentorship and feedback
 </li>
 <li>
 Empowering your teams to think independently and learn continuously
 </li>
 <li>
 Fostering a culture of curiosity, reflection, and resilience
 
 
 </li>
 </ul>
 
 Management
 
 
 
 <ul>
 <li>
 Aligning strategy with execution and ensuring delivery excellence
 </li>
 <li>
 Setting clear goals and objectives, driving accountability, and supporting performance
 </li>
 <li>
 Leading with transparency, integrity, and trust
 
 
 </li>
 </ul>
 
 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
 
 
 
 We need you to have:
 
 
 <ul>
 <li>
 In-depth technical architecture knowledge across both AWS and Azure environments, specifically touching identity ecosystems, serverless workloads, and database engines
 </li>
 <li>
 Deep practical knowledge of designing architectures that strictly comply with banking standards such as PCI-DSS, ISO/IEC 27001, and local financial regulations
 </li>
 <li>
 Advanced capability in drafting complex, modular, and reusable enterprise infrastructure templates utilizing tools like Terraform or Bicep
 </li>
 <li>
 Proficiency in structuring secure network typologies, cloud-native firewalls, private service endpoints, and cross-cloud secure mesh routings
 </li>
 <li>
 Exceptional capability to articulate abstract technical architectures into concrete business value summaries for senior non-technical leadership
 </li>
 <li>
 A minimum of 8 years in infrastructure engineering, cloud operations, or systems architecture, with at least 3 years explicitly spent operating as a Senior Engineer or Tech Lead across dual-cloud environments
 </li>
 <li>
 Documented experience designing and engineering automated infrastructure within a regulated tier-1 or tier-2 banking or insurance institution
 </li>
 <li>
 A proven track record of authoring, defending, and delivering production-ready High-Level Designs (HLDs) and Low-Level Designs (LLDs) to corporate architecture boards
 </li>
 <li>
 Experience directing technical workloads, establishing engineering velocity metrics, and upskilling cross-functional platform delivery squads
 
 
 </li>
 </ul>
 It would also be an advantage if you have:
 
 
 <ul>
 <li>
 High-level certifications such as AWS Certified Solutions Architect - Professional, Microsoft Certified: Azure Solutions Architect Expert, CISSP, or advanced FinOps credentials
 </li>
 <li>
 Conceptual or hands-on mastery over enterprise Kubernetes platforms (AKS/EKS), including automated policy engines and workload identity controls
 </li>
 <li>
 Familiarity with deploying and scaling cloud infrastructure optimized for machine learning data pipelines, model registries, and LLM orchestration layers
 
 
 </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>

Senior AI DevOps Engineer

<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 "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.
 
 
 The Full Stack Developer builds the human-facing surfaces of the Agentic Workflow Automation (AWA) platform&mdash;specifically the Human-in-the-Loop (HITL) reviewer interface, the AgentOps operational dashboard, and internal AWA developer portals. Operating within the AI Centre of Excellence (AICoE) at a Band 7 / Mid-level capacity, this position works directly at the boundary between complex AI pipelines and end-users (including operations reviewers, business analysts, bank customers, and engineering teams). The role translates complex agent states, confidence scores, and exception data into high-performance, intuitive user interfaces that enable fast, informed human decisions.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 HITL Reviewer Interface: Design and build the operations reviewer queue interface, incorporating high-resolution native document image displays, extracted field overlays with per-field confidence indicators, clear exception reasoning, and optimized keyboard-shortcut workflows
 </li>
 <li>
 AgentOps Dashboard: Build and maintain real-time operational dashboards that consume Azure Monitor metrics and Log Analytics data to track STP (Straight-Through Processing) rates, HITL rates, token consumption, and latency metrics (P50/P95/P99)
 </li>
 <li>
 System &amp; API Integration: Establish secure communication between AI core services and core banking apps via the AWA Conversation Orchestrator backend API. Connect applications to APIM-governed LLM endpoints and Orkes Conductor job status APIs
 </li>
 <li>
 Internal Tooling &amp; Portals: Build and maintain the AWA Use Case Manifest authoring tool, the Prompt Management System (PMS) UI, and ground-truth annotation interfaces used by the operations team for test data preparation
 </li>
 <li>
 Performance &amp; Accessibility Optimization: Ensure all web interfaces meet institutional accessibility standards, optimize application performance for lower-bandwidth branch locations, and implement graceful error handling for AI pipeline latency
 </li>
 <li>
 Design System Maintenance: Build and maintain a unified, consistent AWA component library and design system across all interfaces, ensuring strict alignment with corporate brand guidelines
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 We need you to have:
 
 
 <ul>
 <li>
 An advanced proficiency in building highly responsive web applications using React, TypeScript, and modern CSS frameworks
 </li>
 <li>
 Mastery of complex asynchronous data flows and state synchronization using tools like Redux, Zustand, or React Query
 </li>
 <li>
 A strong capability to build interactive, performance-optimized operational dashboards using charting libraries such as Recharts or D3.js
 </li>
 <li>
 Be competency in implementing WebSockets or Server-Sent Events (SSE) for streaming updates and live data synchronization
 </li>
 <li>
 The ability to design and consume structured REST APIs and construct Backend-for-Frontend (BFF) layers using Node.js or Python (FastAPI/Express)
 </li>
 <li>
 A minimum of 5 years of professional full-stack software development experience, with a clear focus on enterprise web applications
 </li>
 <li>
 Hands-on experience integrating secure identity providers and authentication protocols, specifically OAuth2, OIDC, and Microsoft Entra ID
 </li>
 <li>
 Practical experience working with Docker and deploying/managing frontend container workloads within Kubernetes environments (specifically Azure Kubernetes Service - AKS)
 </li>
 <li>
 Holder of a Bachelor's degree in Computer Science, Software Engineering, or an equivalent technical field
 
 
 </li>
 </ul>
 It would also be great if you have:
 
 
 <ul>
 <li>
 Familiarity with React Native or native iOS/Android development to facilitate mobile banking application integrations
 </li>
 <li>
 Experience developing complex overlay layers, drawing tools, and bounding-box annotations on high-resolution canvas scans
 </li>
 <li>
 Knowledge of configuring Azure Static Web Apps, Azure Front Door, and Content Delivery Networks (CDNs)
 </li>
 <li>
 A practical understanding of rendering live LLM token streams smoothly within conversational or chat interfaces
 </li>
 <li>
 A conceptual understanding of machine learning metrics, loss functions, and probability distributions to improve data visualization designs
 
 
 </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>

Full Stack Developer

<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 "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.
 
 
 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>

DevOps Engineer

Join Deeplight AI and explore 5   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Deeplight AI

About Company

Senior AI DevOps Engineer

Full Stack Developer

Full Stack Developer

DevOps Engineer

Senior AI DevOps Engineer