project engineer

mechanical engineer

site engineer

planning engineer

site engineer (civil)

platform engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI Platform Engineer
 
 
 
 Company
 
 &ndash; TCS (MEA)
 
 
 
 Location
 
 &ndash; Dubai
 
 
 
 Job type
 
 &ndash; Full time
 
 
 
 
 
 
 About Us:
 
 
 
 Tata Consultancy Services (TCS) is an IT services, consulting and business solutions organization that has been partnering with many of the world&rsquo;s largest businesses in their transformation journeys for over 50 years. TCS offers a consulting-led, cognitive powered, integrated portfolio of business, technology and engineering services and solutions. This is delivered through its unique Location Independent Agile&trade; delivery model, recognized as a benchmark of excellence in software development.
 
 
 A part of the Tata group, India's largest multinational business group, TCS has over 616,171 of the world&rsquo;s best-trained consultants with 157 nationalities in 53 countries. For more information, visit www.tcs.com and follow TCS news at @TCS_News.
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 
 
 
 Key Accountabilities:
 
 
 
 
 AI Platform Operations
 
 
 
 Provide day-to-day monitoring and operational support of Gernas, its dependent AI applications, deployed AI agents, agent runtime environments, AI gateways, and supporting Azure and AWS cloud services. Ensure continuous availability and consistent service performance across production environments, proactively identifying degradation signals before they become user-visible incidents. Maintain operational dashboards covering platform health, agent execution, LLM consumption, gateway throughput, and integration endpoints, and ensure that ownership of every production component is unambiguous and documented.
 
 
 
 Incident and Problem Management
 
 
 
 Lead L2 and L3 incident response across the Gernas platform and its surrounding AI products. Conduct structured root-cause analysis, drive service restoration within agreed P1&ndash;P4 service-level commitments, and coordinate major incidents involving multiple engineering, cloud, security, and vendor stakeholders. Maintain problem records for recurring or systemic issues, ensure that post-incident reviews are completed with clear corrective and preventive actions, and own the closure of those actions through to engineering remediation. Act as the bridge between the L1 AI Operations Centre and L3 engineering teams during complex incidents.
 
 
 
 AI Agent and Workflow Support
 
 
 
 Troubleshoot the behaviour of single-agent and multi-agent workflows, including agent orchestration, tool invocation, skill execution, prompt construction, memory and context handling, planning loops, and inter-agent coordination. Diagnose failures across Microsoft Agent Framework and LangGraph execution, including state-graph traversal, conditional routing, tool-call mismatches, retries, and human-in-the-loop checkpoints. Investigate integrations with enterprise systems, MCP-exposed tools, and downstream APIs, and work with engineering teams to harden agent designs where production data reveals weaknesses.
 
 
 
 LLM and Model Service Support
 
 
 
 Support the operational stability of the model-serving layer across Azure OpenAI PTU deployments, AWS Bedrock, and Core42 Compass. Monitor and troubleshoot PTU capacity utilisation, token consumption patterns, quota and throttling behaviour, latency profiles, content filtering outcomes, and model endpoint availability. Coordinate with the AI Hub team on routing decisions between frontier and in-region models, assess cost and capacity headroom, and manage capacity escalations and vendor tickets where service degradation originates upstream.
 
 
 
 AKS and Runtime Support
 
 
 
 Provide hands-on operational support of the Azure Kubernetes Service estate hosting Gernas agent runtimes and supporting services. Troubleshoot pod, deployment, service, ingress, namespace, secret, and configuration issues; investigate autoscaling behaviour and resource utilisation anomalies; and analyse container logs, network connectivity, and runtime failures. Work closely with the Cloud Platform team on cluster-level concerns, image security, node health, and platform upgrades, ensuring AKS-hosted workloads remain stable through patching and lifecycle events.
 
 
 
 API, AI Gateway and MCP Support
 
 
 
 Operate and troubleshoot the Azure API Management layer that serves as both the enterprise API gateway and the MCP Gateway for Gernas. Diagnose issues with API policies, authentication, authorisation, routing, rate limiting, quotas, caching, and backend connectivity. Provide deep support for MCP servers, MCP tools, and the MCP Gateway pattern &mdash; including tool discovery, schema validation, protocol-level failures, and the coordination between MCP clients hosted in agents and the underlying tool endpoints. Ensure that the gateway remains a secure, observable, and policy-compliant control plane for all AI traffic.
 
 
 
 Observability and Performance Management
 
 
 
 Use Comet Opik as the primary observability surface for agent and LLM execution, working with traces, prompts, agent execution paths, latency breakdowns, token usage, errors, and model quality indicators. Build and maintain operational dashboards, alert rules, and correlation views that combine Opik telemetry with Azure Monitor, Application Insights, Log Analytics, and CloudWatch data. Lead performance optimisation initiatives where trace evidence shows hotspots in prompts, tools, retrieval steps, or model selection, and ensure that observability coverage keeps pace with platform evolution.
 
 
 
 Voice AI Support
 
 
 
 Support the production operation of ElevenLabs-based voice AI capabilities, including speech generation, voice-agent connectivity, real-time audio session handling, and API consumption patterns. Investigate latency, audio quality, dropped sessions, and integration failures across the voice channel and its dependent platforms, and coordinate with ElevenLabs and integration partners on upstream issues.
 
 
 
 Release and Change Management
 
 
 
 Validate releases prior to and immediately following deployment, exercising production verification scripts, smoke tests, and rollback procedures. Maintain release readiness through clear configuration management, environment parity checks, and pre-deployment risk reviews. Operate within FAB's change-management framework, ensuring that all production changes including patches, upgrades, configuration adjustments, and model or prompt rotations pass through the appropriate change controls and post-implementation review.
 
 
 
 Security, Risk and Compliance
 
 
 
 Uphold the security and compliance posture of Gernas and dependent AI products. Manage identity and access controls, secrets, certificates, and managed identities across the platform; coordinate vulnerability remediation and patching cycles; and maintain audit evidence for internal audit, supervisory reviews, and external assurance. Operate responsible-AI controls including content filtering, PII and PCI detection, data egress controls, and model-access governance and ensure that secure integration patterns are followed across every API, MCP tool, and external dependency.
 
 
 
 Service Improvement and Automation
 
 
 
 Drive continuous reduction of manual support effort through automation of routine operational tasks, self-healing patterns, monitoring enhancements, and proactive remediation. Maintain a current and high-quality library of support playbooks, runbooks, knowledge articles, and standard operating procedures. Identify and lead service-improvement initiatives that lift platform reliability metrics, reduce incident volume, and shorten mean time to resolution.
 
 
 
 Stakeholder and Vendor Coordination
 
 
 
 Operate as a credible technical counterpart to business units, engineering teams, the Cloud Platform team, Cybersecurity, Architecture, AI Governance, and Service Management. Lead vendor engagement with Microsoft, AWS, Core42, ElevenLabs, and other technology partners on incidents, capacity reviews, roadmap items, and product issues, ensuring that vendor accountability is exercised and that escalations are progressed effectively.
 
 
 
 On-Call and Operational Readiness
 
 
 
 Participate in a 24&times;7 support model, including a structured on-call rotation, major incident leadership, disaster-recovery exercises, business-continuity testing, and production-readiness assessments for new agents, models, and integrations entering the platform. Treat operational readiness as a release gate rather than an afterthought, and ensure that nothing reaches production without explicit operational sign-off.
 
 
 
 
 
 
 TECHNICAL SKILLS: minimum 5-7 yrs of working experience mandatory
 
 
 
 
 Cloud AI Services
 
 
 
 
 
 
 
 Agentic AI Frameworks
 
 
 
 
 LLM Operations
 
 
 
 
 Kubernetes and Containers
 
 
 
 
 API and MCP Gateway
 
 
 
 
 Observability
 
 
 
 
 DevOps and Automation
 
 
 
 
 Voice AI
 
 
 
 
 Security and Governance
 
 
 
 
 Service Management
 
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 Education
 
 
 
 Bachelor's degree in Computer Science, Artificial Intelligence, Information Technology, Engineering, or a closely related discipline. A relevant master's degree in AI, Machine Learning, or Cloud Computing will be considered an advantage.
 
 
 
 Professional Experience
 
 
 
 Approximately 5&ndash;7 years of overall IT experience, with significant time spent in cloud application support, platform engineering, DevOps, Site Reliability Engineering, production operations, or senior technical support roles. Of this, a minimum of 2&ndash;3 years of relevant experience supporting AI, machine learning, Generative AI, conversational AI, cloud-native platforms, or other data-intensive enterprise systems is required.
 
 
 
 Banking and Regulated Environment
 
 
 
 
 
 
 
 Technical Troubleshooting
 
 
 
 
 
 
 
 Operational Skills
 
 
 
 
 
 
 
 Communication and Leadership
 
 
 
 
 
 
 
 
 
 Thank you for your interest in applying for this position with TCS. We will review your application and will get back to you if we are considering your interest in this opportunity.
 
 
 
 
 
 
 Application Deadline: 30- July -2026
 
 
 
 
 
 
 
 Privacy Note:
 
 
 
 https://www.tcs.com/connect-with-tcs/privacy-policy
 
</div>

AI Platform Engineer

Times World Information Technology

<div>We are looking for a Senior Data &amp; AI Platform Engineer with strong expertise in data architecture, database design, and scalable system development. The ideal candidate should have a deep understanding of data engineering concepts, modern data platforms, and the ability to design robust, scalable back-end systems and data pipelines.
<div><h4 class="jobSectionHeader">Key responsibilities:</h4>
<ul><li>Design and develop scalable back-end systems</li><li>
Define and implement data architecture and database design strategies</li><li>
Build and optimize data ingestion and transformation pipelines
</li><li>Develop and maintain unified data models across multiple systems
</li><li>Design end-to-end data flows and integration strategies
</li><li>Collaborate with cross-functional teams to ensure efficient data handling and processing
</li><li>Ensure system scalability, performance, and reliability</li></ul><h4 class="jobSectionHeader">
Machine Learning &amp; AI Integration</h4><ul><li>
Work closely with the AI/ML team to understand data requirements for model training, feature engineering, and pipeline development
</li><li>Prepare, validate, and deliver clean, structured data to support AI/ML systems and intelligent workflows
</li><li>Consume and integrate outputs from ML models into data pipelines and backend systems
</li><li>Maintain awareness of ML concepts to effectively collaborate with AI/analytics teams</li></ul><h4 class="jobSectionHeader">
Core Technical Skills</h4><ul><li>
Back-end &amp; System Design</li><li>
Expertise in system scalability and performance optimization
</li><li>Solid understanding of distributed systems and back-end architecture
</li><li>Data Engineering Concepts (IMPORTANT)</li><li>
Strong knowledge of data modelling (OLTP vs OLAP)
</li><li>Strong knowledge of data lake architecture (primary) and data warehousing concepts</li><li>
Strong knowledge of REST APIs and API design (FastAPI / Flask / Django)</li></ul><h4 class="jobSectionHeader">
Core Platforms &amp; Technologies (Required)</h4>
Strong working knowledge of:<ul><li>
 Relational databases - strong hands-on experience required (e.g. PostgreSQL, MS SQL Server, MySQL)</li><li>
Non-relational / NoSQL databases - working knowledge required (e.g. MongoDB, SQLite, TimescaleDB, Redis)</li><li>
Graph databases - understanding of graph data models (e.g. Apache AGE, Neo4j concepts)</li><li>
Comfortable working across multi-database environments - relational, time-series, graph, and cache layers in a single architecture</li></ul>
Good to Have: Hands-on experience with modern data tools such as Kafka, Airbyte, S3/ADLS, Snowflake, or similar platforms<h4 class="jobSectionHeader">
Data Ingestion &amp; Processing</h4>
Ability to design and implement:<ul><li>
Data ingestion pipelines
</li><li>Data transformation layers (ETL/ELT)
</li><li>Unified and scalable data models
</li><li>System Thinking &amp; Architecture</li></ul>
Ability to:<ul><li>
Design scalable back-end architectures
</li><li>Define and manage data flow across systems
</li><li>Guide integration strategies between multiple services and platforms</li></ul>
Good to Have<ul><li>
Experience with cloud platforms (AWS / GCP / Azure)
</li><li>Exposure to real-time data processing systems
</li><li>Knowledge of ML data pipelines or analytics workflows
</li><li>Experience using Python for data ingestion pipelines, transformation scripts, and automation workflows is an advantage</li></ul>
What We&rsquo;re Looking For<ul><li>
Passion for experimenting with new tools, frameworks, and ideas
</li><li>Ability to quickly prototype and iterate on features
</li><li>Interest in blending creativity with engineering
</li><li>Comfort working in less rigid, exploratory development environments
</li><li>Strong curiosity and self-learning mindset</li></ul>
Bonus Points If You<ul><li>
Use AI-assisted coding tools (like GitHub Copilot, Cursor, Antigravity, Claude)
</li><li>Build side projects, prototypes, or experimental apps
</li><li>Enjoy rapid MVP development, or creative coding
</li><li>Stay updated with latest trends in AI, and developer tools</li></ul> 

</div><div><h4 class="jobSectionHeader">Requirements (Qualifications/Experience/Competencies)
</h4>Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, or a related field. A Master's degree in a relevant field is an advantage 
 
5 - 7 years of experience
Ready to Join Us? 
 
If you are passionate about building modern AI-powered products and enjoy working on innovative digital solutions, we would love to hear from you. Immediate joiners are preferred. 
 
Please note: This position is open to candidates currently residing in the UAE only.</div></div>

Senior Data & AI Platform Engineer

GSSTech Group

<div>We are looking for an experienced Senior DevOps Engineer with strong expertise in OpenShift Platform Administration, Kubernetes, and CI/CD engineering to support large-scale Business Platforms &amp; Payments initiatives.
The ideal candidate should have hands-on experience managing enterprise container platforms, building and maintaining CI/CD pipelines, automating deployment processes, and supporting mission-critical payment applications. The role requires working in a fast-paced environment where frequent releases and high-velocity payment changes are delivered while ensuring platform stability, security, and high availability. 
Requirements 
 
Key Responsibilities<ul><li>
Design, build, and maintain enterprise CI/CD pipelines for mission-critical applications.</li><li>
Administer and manage OpenShift container platform environments.</li><li>
Deploy, configure, and manage Kubernetes clusters and containerized workloads.</li><li>
Develop, maintain, and optimize Jenkins pipelines using Groovy scripting and Shared Libraries.</li><li>
Implement GitOps deployment strategies using Argo CD.</li><li>
Create, maintain, and manage Helm Charts for Kubernetes application deployments.</li><li>
Manage source code repositories and branching strategies using Git.</li><li>
Support application deployment, release management, and environment provisioning.</li><li>
Monitor platform health, troubleshoot deployment issues, and optimize application performance.</li><li>
Work closely with Development, QA, Infrastructure, Security, and Operations teams to streamline software delivery.</li><li>
Support high-frequency production releases and mission-critical payment platform deployments.</li><li>
Ensure platform security, scalability, availability, and compliance with enterprise standards.</li><li>
Participate in release planning, production support, incident management, and root cause analysis.</li><li>
Automate operational tasks and continuously improve DevOps processes and engineering practices.</li><li>
Document deployment procedures, platform architecture, and operational standards.</li></ul>
Required Technical Skills<ul><li>
Strong hands-on experience with Kubernetes administration.</li><li>
Strong experience administering Red Hat OpenShift Platform (OpenShift Container Platform).</li><li>
Expertise in Jenkins CI/CD pipeline development and administration.</li><li>
Strong hands-on experience writing Groovy-based Jenkins Pipelines.</li><li>
Experience developing and maintaining Jenkins Shared Libraries.</li><li>
Strong experience with Argo CD (GitOps deployment).</li><li>
Hands-on experience creating and managing Helm Charts.</li><li>
Strong proficiency with Git version control, branching strategies, and repository management.</li><li>
Experience deploying and managing containerized applications in enterprise Kubernetes environments.</li><li>
Strong understanding of CI/CD best practices and DevOps automation.</li><li>
Experience troubleshooting deployment failures, pipeline issues, and platform incidents.</li><li>
Strong Linux administration knowledge.</li><li>
Experience working with REST APIs and deployment automation.</li></ul>
Nice to Have<ul><li>
Experience with Istio Service Mesh.</li><li>
Experience with 3scale API Management.</li><li>
Exposure to payment platforms or financial services environments.</li><li>
Experience supporting high-volume transaction systems.</li><li>
Knowledge of enterprise monitoring and logging tools.</li><li>
Experience with Infrastructure as Code (Terraform, Ansible, or similar).</li><li>
Exposure to cloud platforms (AWS, Azure, or GCP).</li></ul>
Required Competencies<ul><li>
Strong analytical and troubleshooting skills.</li><li>
Excellent communication and stakeholder management.</li><li>
Ability to work in fast-paced, high-pressure production environments.</li><li>
Strong ownership mindset with excellent attention to detail.</li><li>
Ability to manage multiple priorities and critical production releases.</li><li>
Collaborative team player with strong problem-solving capability.</li><li>
Ability to work independently while supporting cross-functional engineering teams.</li></ul>
Preferred Domain Experience<ul><li>
Banking</li><li>
Payments</li><li>
Financial Services</li><li>
Enterprise Digital Platforms</li><li>
Mission-Critical Production Systems</li></ul>
Education
Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline (or equivalent industry experience).</div>

Senior DevOps Engineer (OpenShift)

Global Software Solutions Group

<div>
 We are looking for an experienced Senior DevOps Engineer with strong expertise in OpenShift Platform Administration, Kubernetes, and CI/CD engineering to support large-scale Business Platforms &amp; Payments initiatives.
 
 
 The ideal candidate should have hands-on experience managing enterprise container platforms, building and maintaining CI/CD pipelines, automating deployment processes, and supporting mission-critical payment applications. The role requires working in a fast-paced environment where frequent releases and high-velocity payment changes are delivered while ensuring platform stability, security, and high availability.
 
 
 
 Requirements
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain enterprise CI/CD pipelines for mission-critical applications
 </li>
 <li>
 Administer and manage OpenShift container platform environments
 </li>
 <li>
 Deploy, configure, and manage Kubernetes clusters and containerized workloads
 </li>
 <li>
 Develop, maintain, and optimize Jenkins pipelines using Groovy scripting and Shared Libraries
 </li>
 <li>
 Implement GitOps deployment strategies using Argo CD
 </li>
 <li>
 Create, maintain, and manage Helm Charts for Kubernetes application deployments
 </li>
 <li>
 Manage source code repositories and branching strategies using Git
 </li>
 <li>
 Support application deployment, release management, and environment provisioning
 </li>
 <li>
 Monitor platform health, troubleshoot deployment issues, and optimize application performance
 </li>
 <li>
 Work closely with Development, QA, Infrastructure, Security, and Operations teams to streamline software delivery
 </li>
 <li>
 Support high-frequency production releases and mission-critical payment platform deployments
 </li>
 <li>
 Ensure platform security, scalability, availability, and compliance with enterprise standards
 </li>
 <li>
 Participate in release planning, production support, incident management, and root cause analysis
 </li>
 <li>
 Automate operational tasks and continuously improve DevOps processes and engineering practices
 </li>
 <li>
 Document deployment procedures, platform architecture, and operational standards
 
 
 </li>
 </ul>
 
 Required Technical Skills
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Kubernetes administration
 </li>
 <li>
 Strong experience administering Red Hat OpenShift Platform (OpenShift Container Platform)
 </li>
 <li>
 Expertise in Jenkins CI/CD pipeline development and administration
 </li>
 <li>
 Strong hands-on experience writing Groovy-based Jenkins Pipelines
 </li>
 <li>
 Experience developing and maintaining Jenkins Shared Libraries
 </li>
 <li>
 Strong experience with Argo CD (GitOps deployment)
 </li>
 <li>
 Hands-on experience creating and managing Helm Charts
 </li>
 <li>
 Strong proficiency with Git version control, branching strategies, and repository management
 </li>
 <li>
 Experience deploying and managing containerized applications in enterprise Kubernetes environments
 </li>
 <li>
 Strong understanding of CI/CD best practices and DevOps automation
 </li>
 <li>
 Experience troubleshooting deployment failures, pipeline issues, and platform incidents
 </li>
 <li>
 Strong Linux administration knowledge
 </li>
 <li>
 Experience working with REST APIs and deployment automation
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience with Istio Service Mesh
 </li>
 <li>
 Experience with 3scale API Management
 </li>
 <li>
 Exposure to payment platforms or financial services environments
 </li>
 <li>
 Experience supporting high-volume transaction systems
 </li>
 <li>
 Knowledge of enterprise monitoring and logging tools
 </li>
 <li>
 Experience with Infrastructure as Code (Terraform, Ansible, or similar)
 </li>
 <li>
 Exposure to cloud platforms (AWS, Azure, or GCP)
 
 
 </li>
 </ul>
 
 Required Competencies
 
 
 
 <ul>
 <li>
 Strong analytical and troubleshooting skills
 </li>
 <li>
 Excellent communication and stakeholder management
 </li>
 <li>
 Ability to work in fast-paced, high-pressure production environments
 </li>
 <li>
 Strong ownership mindset with excellent attention to detail
 </li>
 <li>
 Ability to manage multiple priorities and critical production releases
 </li>
 <li>
 Collaborative team player with strong problem-solving capability
 </li>
 <li>
 Ability to work independently while supporting cross-functional engineering teams
 
 
 </li>
 </ul>
 
 Preferred Domain Experience
 
 
 
 <ul>
 <li>
 Banking
 </li>
 <li>
 Payments
 </li>
 <li>
 Financial Services
 </li>
 <li>
 Enterprise Digital Platforms
 </li>
 <li>
 Mission-Critical Production Systems
 
 
 </li>
 </ul>
 
 Education
 
 
 
 Bachelor's Degree in Computer Science, Information Technology, Engineering, or a related discipline (or equivalent industry experience).
</div>

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 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

<div>We are looking for a Senior Product Engineer specializing in Cards Platforms to support enterprise-scale Cards Acquiring and Cards Issuing initiatives across business platforms and payments domains. The role focuses on end-to-end support of cards platform enhancements, production stability, and seamless delivery of business-critical cards services within a fast-paced banking environment.
The ideal candidate will work closely with business stakeholders, technology teams, and Agile squads to ensure smooth execution of cards-related initiatives, system integrations, release management, and production support while maintaining high platform reliability and performance. 
Requirements<div> 
Key Responsibilities 
<ul><li>Support Cards Platform projects, enhancements, and BAU (Business-As-Usual) activities across issuing and acquiring domains.</li><li>Perform requirement analysis in collaboration with business and technical stakeholders.</li><li>Coordinate with cross-functional teams including business, technology, operations, and vendors to ensure smooth delivery of cards initiatives.</li><li>Support system integration activities across cards platforms, payment systems, and enterprise banking systems.</li><li>Participate in testing cycles including SIT, UAT, regression, and production validation.</li><li>Support release management activities including deployment coordination, cutover planning, and post-release validation.</li><li>Handle production support activities including incident management, defect analysis, and resolution tracking.</li><li>Ensure platform stability, availability, and performance of cards systems.</li><li>Work closely with Agile squads to deliver continuous enhancements and improvements.</li><li>Monitor, analyze, and resolve issues related to cards transactions, authorization, settlement, and reconciliation.</li><li>Contribute to improving cards services, payment flows, and customer experience.</li><li>Ensure compliance with banking standards, security guidelines, and operational governance.</li></ul></div><div>
Required Skills &amp; Experience 
<ul><li>Strong experience in Cards Platforms (Issuing and/or Acquiring).</li><li>Experience in Cards product lifecycle support including authorization, settlement, clearing, and reconciliation.</li><li>Strong understanding of cards processing systems and payment ecosystem.</li><li>Experience in requirement gathering, analysis, and functional documentation.</li><li>Hands-on experience in system integration, testing support, and release management.</li><li>Experience working in Agile/Scrum environments.</li><li>Strong experience in production support, incident management, and defect resolution.</li><li>Ability to coordinate with multiple stakeholders including business users, IT teams, and vendors.</li><li>Strong understanding of banking payment systems and enterprise application environments.</li></ul></div><div>
Nice to Have 
<ul><li>Exposure to card schemes (Visa, Mastercard, Amex, etc.).</li><li>Experience with digital payments, tokenization, or wallet integrations.</li><li>Knowledge of APIs and enterprise integration frameworks.</li><li>Exposure to automation, monitoring tools, or DevOps practices.</li></ul></div><div>
Required Competencies 
<ul><li>Strong analytical and problem-solving skills.</li><li>Excellent stakeholder management and communication skills.</li><li>Strong ownership mindset and accountability for delivery outcomes.</li><li>Ability to manage multiple priorities in a fast-paced banking environment.</li><li>Strong attention to detail with focus on stability and quality.</li><li>Ability to work effectively in cross-functional Agile teams.</li></ul></div><div>
Preferred Domain Experience 
<ul><li>Banking</li><li>Cards &amp; Payments Platforms</li><li>Financial Services</li><li>Enterprise Payment Systems</li></ul></div></div>

Senior Product Engineer - Cards Platform

KAYALI

<div>Who We Are
Fueled by passion, KAYALI was founded in 2018 by beauty mogul and fragrance fanatic, Mona Kattan. Translating to &lsquo;my imagination&rsquo; in Arabic, KAYALI provides a modern fragrance experience inspired by Mona&rsquo;s rich Middle Eastern heritage and the art of layering scents to help you create your mood; where sharing scents is a ritual and smelling good is both an act of goodwill and self-love. Mona collaborates with some of the world&rsquo;s most renowned perfumers and sources the finest ingredients to create unique juices that are infinitely memorable, long-lasting, and cruelty-free. Each luxurious fragrance is an ode to true craftsmanship and tells a special story, from the addictive notes to the multi-faceted jeweled bottles. 
Our Mission
To make everyone feel like the diamond they are! To build a global community of fragrance lovers through the power of scent and by providing them with the most innovative &amp; luxurious fragrances, education and sharing our Middle Eastern fragrance rituals with the world. 
Summary
Introduction of a new role to provide expertise across data warehousing platforms including Azure Data Bricks and Power BI along with all the necessary integrations. The BI Engineer will be responsible for supporting, implementing and maintaining data warehouse Pipelines and Reports to streamline business process. 
RESPONSIBILITIES:
Data Platform &amp; Architecture<ul><li>
Manage a scalable modern Data platform leveraging the Azure ecosystem, including Azure Databricks, Azure Synapse Analytics, Azure Data Factory, and Azure Data Lake Storage.
</li><li>Design and implement Lakehouse architecture using Medallion (Bronze, Silver, Gold) patterns with Delta Lake to ensure data reliability, scalability, and performance with knowledge of Delta Lake and ACID-compliant data architectures
</li><li>Apply data modelling techniques (dimensional modelling, star/snowflake schemas) to support both operational and analytical use cases.</li></ul>
Data Engineering &amp; Pipelines<ul><li>
Develop and maintain robust, high-performance data pipelines using cloud-native technologies (Databricks, PySpark, Lakehouse Workflows) to support ingestion, transformation, and curation of large-scale datasets.
</li><li>Knowledge in identifying and resolving complex data discrepancies across multi-stage ETL/ELT pipelines, with a focus on root cause analysis (RCA) of failures, data skew, and late-arriving data etc.
</li><li>Build and optimize end-to-end data integration frameworks, including ingestion from relational databases, flat files, and third-party REST APIs (handling authentication, pagination, and incremental loads).
</li><li>Troubleshoot and resolve complex data pipeline failures, performance bottlenecks, and data inconsistencies, performing root cause analysis in production environments.</li></ul>
Business Intelligence &amp; Power BI<ul><li>
Design, develop, and optimize Power BI datasets, reports, and dashboards, applying best practices in data modelling, DAX, and performance tuning.
</li><li>High-level proficiency in performance tuning and semantic model debugging, specifically using tools like DAX Studio and Tabular Editor to isolate issues within the Filter Context, Row Context, and complex relationship cardinalities.
</li><li>Strategic ability to troubleshoot data issues and investigate Gateway connectivity failures, Direct Query latency issues, and visual-level calculation errors to ensuring report accuracy and faster response times for executive stakeholders.</li></ul>
Data Integration &amp; Consumption<ul><li>
Manage the integration of data platforms with Power BI, ensuring efficient data models and seamless data consumption for reporting and analytics.</li></ul>
Data Governance &amp; Security<ul><li>
Implement and manage data security frameworks, including role-based access control (RBAC), Row-Level Security, and governance using Unity Catalog or equivalent tools.</li></ul>
DevOps, CI/CD &amp; Deployment<ul><li>
Knowledge in CI/CD pipelines using Azure DevOps or GitHub Actions to enable automated, reliable, and consistent deployment of data solutions.</li></ul>
Performance Optimization &amp; Cost Management<ul><li>
Monitor and optimize data platform performance and cloud resource utilization, identifying cost optimization opportunities and ensuring efficient workload execution.</li></ul>
Data Quality &amp; Reliability<ul><li>
Implement data quality, validation, and monitoring frameworks to ensure accuracy, consistency, and reliability of data assets.</li></ul>
Stakeholder Collaboration &amp; Delivery<ul><li>
Collaborate with cross-functional teams including business stakeholders, analysts, and engineers to translate business requirements into scalable technical solutions.</li></ul> 

Requirements 
<ul><li>
 Minimum 5+ years in both Reporting and Data engineering domain, with at least 3+ years focused on Azure based data platforms mainly Power BI and Azure Databricks.</li><li>
 Comprehensive knowledge of the Azure Data Stack and Strong hands-on experience with Azure Databricks, Azure Data Lake Storage, Synapse, ADF and open-source cloud native tools.</li><li>
 Extensive experience in Power BI, including Dataset design and optimization, Report and dashboard development using calculated measures, DAX etc.</li><li>
Knowledge of performance tuning techniques (Query optimization, Import vs Direct Query, aggregations etc).</li><li>
Proficiency in SQL, PySpark, Python</li><li>
 Solid understanding on Data modelling techniques.</li><li>
 Effective problem-solving skills backed by strong people skills.</li><li>
 Excellent oral and written communication skills.</li></ul> 

Benefits 
<ul><li>
Premium Medical/Dental/Vision coverage</li><li>
Find your Magic Days</li><li>
Volunteer Day</li><li>
Birthday Leave</li><li>
Egg Freezing Benefits</li><li>
Employee discounts on all Kayali products</li><li>
Quarterly product gifting</li></ul> 
Kayali is committed to building diverse and inclusive teams and upholding an equal employment workplace that is free from discrimination. We hire stellar individuals regardless of their race, color, ancestry, religion, gender identity, national origin, sexual orientation, age, marital status, medical conditions, disability, or veteran status. If you need reasonable accommodations at any point in the application or interview process, please let us know.</div>

BI Engineer

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