security operations engineer

Trivto

<div>
 
 DevOps Engineer
 
 
 
 
 
 
 Location:
 
 Dubai, UAE
 
 
 
 Hiring Process
 
 : AI Interview -&gt; Home Assignment -&gt; Technical Interview -&gt; COO Interview
 
 
 
 Reports to:
 
 VP R&amp;D
 
 
 
 Department:
 
 Development
 
 
 About the Role
 
 
 We seek an experienced Senior DevOps Engineer to join our team and lead our infrastructure automation efforts. The ideal candidate will bridge the gap between development and operations, implementing robust CI/CD pipelines and maintaining our cloud-native microservices architecture.
 
 
 Responsibilities
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Design, implement, and maintain CI/CD pipelines to enable frequent and reliable software releases
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Build and manage containerized applications using Docker and orchestrate them with Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Architect and maintain cloud infrastructure on AWS following best practices and security standards
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement GitOps principles using Argo CD for Kubernetes deployments
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Establish monitoring, alerting, and logging solutions to ensure system reliability
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Support and optimize our microservices architecture, ensuring scalability and resilience
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Collaborate with development teams to improve deployment workflows and application performance
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Implement infrastructure as code practices using tools like Terraform
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Conduct security assessments and implement security best practices across the infrastructure
 
 
 Required Skills &amp; Qualifications
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;6-7+ years of experience in DevOps, SRE, or similar roles
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Proficiency with container technologies, specifically Docker and Kubernetes
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;In-depth knowledge of AWS services and architecture patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience implementing and managing Argo CD for GitOps workflows
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong understanding of security best practices for cloud infrastructure
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience designing, implementing, and maintaining microservices architectures
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Knowledge of service discovery, API gateways, and inter-service communication patterns
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent scripting skills (Python, Bash, etc.)
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Experience with infrastructure as code tools ( Terraform )
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Strong problem-solving skills and the ability to troubleshoot complex systems
 
 
 ●&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Excellent communication skills, proactive,&nbsp;team player
 
 
 &nbsp;
 
</div>

DevOps Engineer

Gama Security Systems

IT &amp; ELV Application Engineer (Genetec, Milestone, CEM, etc.)Location: Dubai, UAECompany: GAMA Security Systems LLCJob Type: Full-timeGAMA Security Systems LLC is looking for a highly skilled and certified IT &amp; ELV Application Engineer with strong expertise in Genetec, Milestone, CEM, and other integrated security platforms. If you have a passion for designing and implementing advanced security solutions, we'd love to hear from you!Key ResponsibilitiesDesign, deploy, and configure Genetec Security Center and Milestone XProtect Video Management System (VMS) solutions based on client requirements.Conduct site surveys to determine camera placement, system architecture, and network infrastructure for optimal performance.Integrate VMS platforms with third-party security systems, including:Access ControlVideo AnalyticsIntrusion Detection SystemsProvide technical support, troubleshooting, software upgrades, patch management, and performance optimization.Minimum 4 years of experience as an IT/ELV Application Engineer, Security Systems Engineer, or a similar role.Strong knowledge of :Genetec Security CenterMilestone XProtectNetwork infrastructure and TCP/IP protocolsAccess Control SystemsPreferred CertificationsCandidates holding one or more of the following certifications will have a strong advantage:Genetec Certified EngineerGenetec Certified SpecialistMilestone Certified Integration TechnicianMilestone Certified Integration EngineerCEM CertificationOther relevant manufacturer certificationsInterested candidates are invited to send their CV to: hr@gamatelecom.comPay: AED5,000.00 - AED8,000.00 per monthWork Location: In person

IT & ELV Application Engineer (Genetec, Milestone, CEM, etc.)

Easygenerator

<div>
 
 Join Easygenerator and build the data platform powering the future of learning
 
 
 
 Step into an exciting role with an innovative e-learning software company in the EdTech space as a
 
 Data Engineer
 
 .
 
 
 Easygenerator is a fast-growing scale-up revolutionizing e-learning with our award-winning authoring tool. Join us to build scalable data solutions that enable smarter decisions across Product, Marketing, Revenue, and Business Intelligence.
 
 
 What's in it for you?
 
 
 <ul>
 <li>
 Grow Your Career: Take ownership of our modern data platform and work on high-impact projects spanning analytics, AI, and business intelligence.
 </li>
 <li>
 International Environment: Join a dynamic, international team (40+ nationalities) in a fast-growing scale-up where your work directly influences business outcomes.
 </li>
 <li>
 AI-First Company: We embrace AI in both our product and internal operations. You'll gain hands-on experience with AI-powered analytics and emerging data technologies.
 </li>
 <li>
 Learning &amp; Development: Access continuous coaching, learning opportunities, and the freedom to explore new technologies and best practices.
 </li>
 <li>
 Hybrid Working Policy: 3 day on-site / 2-day Work from Home (WFH) split.
 
 
 </li>
 </ul>
 What you will be doing
 
 
 <ul>
 <li>
 Build and maintain scalable data pipelines and infrastructure using Snowflake, AWS Glue, and modern ETL/ELT frameworks.
 </li>
 <li>
 Integrate data from platforms such as Salesforce, Mixpanel, Segment, Customer.io, Intercom, Google Analytics, and LinkedIn Ads.
 </li>
 <li>
 Develop reliable data models, warehouses, and data lakes to support reporting and analytics.
 </li>
 <li>
 Implement data quality, monitoring, governance, and security best practices.
 </li>
 <li>
 Build AI-powered self-service analytics capabilities for business users.
 </li>
 <li>
 Partner with Product, Marketing, Revenue Operations, and BI teams to deliver impactful data solutions.
 </li>
 <li>
 Optimize platform performance, reliability, and cost efficiency.
 
 
 </li>
 </ul>
 What you will bring
 
 
 <ul>
 <li>
 5+ years of Data Engineering experience.
 </li>
 <li>
 Strong expertise in Snowflake, including architecture, performance optimization, governance, and security.
 </li>
 <li>
 Experience with AWS Glue (PySpark), ETL/ELT pipelines, and workflow orchestration.
 </li>
 <li>
 Advanced SQL and Python skills.
 </li>
 <li>
 Experience with PostgreSQL, MongoDB, Amazon S3, and modern cloud data architectures.
 </li>
 <li>
 Strong understanding of data modelling, warehousing, and analytics engineering practices.
 </li>
 <li>
 Experience integrating SaaS platforms and customer, product, marketing, or revenue data.
 </li>
 <li>
 Knowledge of data governance, privacy, and compliance frameworks such as GDPR.
 </li>
 <li>
 Strong problem-solving skills, ownership mindset, and attention to detail.
 
 
 </li>
 </ul>
 Nice to have
 
 
 <ul>
 <li>
 Experience in a B2B SaaS environment.
 </li>
 <li>
 Power BI experience, including data modeling and DAX.
 </li>
 <li>
 Experience with Snowflake Cortex AI and AI-powered analytics solutions.
 </li>
 <li>
 Knowledge of marketing attribution and revenue analytics.
 </li>
 <li>
 Experience with Streamlit, Mixpanel, or similar analytics tools.
 
 
 </li>
 </ul>
 Ready to Join Us?
 
 
 If you're passionate about building modern data platforms and helping teams make smarter decisions with data, we'd love to hear from you. Apply today!
 
 
</div>

Data 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>

Cisco

Meet the Team
 
Cisco's vision is to change the way the world works, lives, plays, and learns! We made the Internet what it is today. In the Agentic AI era, our vision is even more relevant today than ever.
 You will be a Solution Sales Engineer specializing in Identity Security and IAM within the EMEA region, serving as a primary technical authority and strategic advisor for customers in the Middle East, influencing high-value security investments. You will lead the full technical sales cycle – from discovery and solution design to proof-of-value and deal closure – by leveraging deep expertise in identity and AI to secure enterprise applications and infrastructure. By fostering a culture of high performance and innovation, you will drive significant revenue growth while positioning Cisco as a market leader in security. Furthermore, you will stay at the forefront of evolving AI trends, integrating cross-product solutions through a"One Cisc" approach to address complex customer challenges effectively. You will join a supportive team that prioritizes customer success and community impact, offering an environment where you can have fun, feel inspired, and contribute to meaningful change.
 
Your Impact
 
As a Sales Solutions Engineer at Cisco, you will be a technical authority who directly influences high-value investments by serving as a trusted advisor to CISOs, senior executives, and other decision makers. You will own the technical win strategy, driving revenue growth through superior solution design, competitive positioning, and the execution of high-impact trials. By leading complex sales cycles and securing technical wins, you will be instrumental in expanding Cisco’s security footprint within key accounts across the Middle East.
 Your expertise in Zero Trust architecture and the foundational elements of IAM, MFA, and PAM will be critical to securing both human and non-human identities within customers’ environments. You will lead discovery sessions to architect comprehensive solutions that address specific customer threats and compliance requirements. Through compelling demonstrations and workshops, you will differentiate Cisco’s portfolio, ensuring that every engagement delivers measurable security improvements and clear return on investment.
 Beyond individual deals, you will establish yourself as a thought leader by translating emerging security trends into actionable customer value. By fostering a"One Cisc" approach, you will collaborate across functions to integrate identity security solutions with broader networking portfolios, while cultivating customer advocates to influence product roadmaps. Your commitment to technical excellence and community engagement will ultimately solidify Cisco’s reputation as the premier partner for enterprise identity security.
 
Minimum Qualifications
 
<ul>
<li>5+ years of experience in a technical sales, solutions engineering, or similar role, managing technical and business relationships with complex global organizations.</li>
<li>Working knowledge of the Identity and IAM ecosystem.</li>
<li>Ability to closely collaborate with sales and customer-facing teams to drive business results.</li>
<li>Extensive experience working with customers across the Middle East region of EMEA.</li>
<li>Exceptional presentation skills with ability to articulate complex technical concepts to diverse audiences from practitioners to executives.</li>
<li>Strong business acumen connecting technical solutions to business outcomes and ROI.</li>
<li>Consultative selling approach with proven ability to build trusted advisor relationships.</li>
</ul>
Preferred Qualifications
 
<ul>
<li>Degree in engineering, computer science, or a related field.</li>
<li>Familiarity with how security, networking, and identity engineers design, implement, integrate, manage, and support these platforms.</li>
<li>Extensive experience across multiple customer segments (Enterprise, Commercial, Public Sector, and Partners) with a solid knowledge of Cisco Secure Networking solutions including Duo, Multicloud Defense, Secure Access, SD-WAN/SASE, and AI Security/Agentic AI.</li>
<li>Experience with different Identity and directory vendors and their products (Cisco Duo, Microsoft Entra, Okta, Ping, CyberArk, SailPoint etc.), either through managing these platforms in a production environment, or through selling and integrating them into customer environments.</li>
<li>Exceptional communication, storytelling, and presentation skills, coupled with the ability to effectively influence and engage large audiences, senior leaders, customers, and partners.</li>
<li>Cisco CCIE/CCNP, ISC2, or other industry-standard certification in Security or Networking.</li>
</ul>
Why Cisco?
 
At Cisco, we’re revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond. We’ve been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint.
 Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you’ll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere.
 We are Cisco, and our power starts with you.

Solutions Engineer

Tata Consultancy Services

<div>
 
 
 Job Title
 
 &ndash; AI 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:
 
 
 <ul>
 <li>
 
 AI Solution Design &amp; Development:
 
 </li>
 <li>
 Design, build, and deploy AI-powered applications using Azure AI Services, including Azure OpenAI Service, Azure Machine Learning, Azure Cognitive Services (Speech, Vision, Language), Azure AI Search, Azure Functions, and Azure Databricks.
 </li>
 <li>
 
 LLM Integration &amp; Generative AI:
 
 </li>
 <li>
 Develop and integrate Large Language Model (LLM) solutions using Azure OpenAI endpoints (GPT-4.1, GPT-4o, GPT-4o-mini) routed through FAB's centralized AI Hub gateway for governance, observability, and capacity management. Build enterprise use cases such as knowledge search, document intelligence, content summarization, call analytics, sentiment analysis, and workflow automation.
 </li>
 <li>
 
 Python Engineering &amp; Backend Development:
 
 </li>
 <li>
 Write clean, modular, and production-grade Python code for AI/ML model development, API integrations, data processing pipelines, backend services, and automation workflows using frameworks such as LangChain, LlamaIndex, Semantic Kernel, LangGraph, and FastAPI.
 </li>
 <li>
 
 RAG &amp; Semantic Retrieval:
 
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) pipelines, embeddings, vector search, semantic retrieval architectures, prompt engineering, and evaluation techniques for enterprise knowledge mining and document intelligence.
 </li>
 <li>
 
 Agentic AI Development:
 
 </li>
 <li>
 Design and develop intelligent agentic AI systems capable of planning, reasoning, tool execution, and orchestration across enterprise systems using FAB's GERNAS OS platform and Agent Development Kit (ADK) in a secure and governed manner.
 </li>
 <li>
 
 Model Evaluation &amp; Responsible AI:
 
 </li>
 <li>
 Implement model evaluation metrics for accuracy, hallucination detection, bias, latency, and throughput in alignment with FAB's Responsible AI framework. Ensure AI solutions comply with FAB's security, data privacy, model governance, and regulatory requirements, including controls for accuracy, hallucination, bias, latency, and resilience.
 </li>
 <li>
 
 Deployment &amp; Production Operations:
 
 </li>
 <li>
 Deploy, monitor, and optimize AI solutions in production environments using CI/CD practices, containerization, observability, logging, performance monitoring, and cost optimization techniques.
 </li>
 <li>
 
 Collaboration &amp; Stakeholder Engagement:
 
 </li>
 <li>
 Collaborate with data scientists, platform engineers, DevOps/MLOps engineers, business analysts, and product teams to convert business requirements into scalable AI solutions.
 </li>
 <li>
 
 Innovation &amp; Continuous Learning:
 
 </li>
 <li>
 Continuously evaluate emerging Azure AI, Generative AI, and Agentic AI capabilities and recommend practical adoption opportunities aligned with FAB's AI strategy. Stay abreast of state-of-the-art developments in generative AI and agentic architectures.
 </li>
 </ul>
 
 
 
 
 
 TECHNICAL SKILLS: minimum 3-4 yrs of working experience mandatory
 
 
 
 
 Azure AI Services:
 
 Demonstrated working experience with Microsoft Azure AI Services including Azure OpenAI, Azure Machine Learning, Azure Cognitive Services, Azure AI Search, Azure Functions, and Azure Databricks.
 
 
 
 Python Programming:
 
 Strong proficiency in Python programming, including experience with REST APIs, SDKs, asynchronous processing, data manipulation, backend development, and AI application frameworks (LangChain, LlamaIndex, Semantic Kernel, LangGraph, FastAPI).
 
 
 
 LLM &amp; Generative AI:
 
 Deep understanding of machine learning, statistical modeling, NLP, generative AI principles, LLM application development, prompt engineering, RAG architecture, embeddings, vector databases, semantic search, and model evaluation techniques.
 
 
 
 ML Libraries &amp; Frameworks:
 
 Advanced proficiency in ML libraries such as PyTorch, TensorFlow, Hugging Face Transformers, scikit-learn, and NLP libraries (spaCy, NLTK).
 
 
 
 Vector Databases:
 
 Experience with vector databases including FAISS, Azure AI Search, ChromaDB, and Pinecone.
 
 
 
 DevOps/MLOps:
 
 Hands-on experience with DevOps/MLOps practices and tools such as Git, Docker, Kubernetes, CI/CD pipelines, MLflow, Terraform, Azure Monitor, and Application Insights.
 
 
 
 Cloud Security &amp; Integration:
 
 Understanding of cloud security, identity and access management, data privacy, encryption, logging, monitoring, and secure API integration patterns.
 
 
 
 AI Ethics &amp; Governance:
 
 Awareness of ethical considerations and responsible AI practices, including fairness, accountability, transparency, bias detection, hallucination mitigation, and compliance in AI systems.
 
 
 
 
 
 
 KNOWLEDGE, SKILLS, &amp; EXPERIENCE
 
 
 
 
 
 Minimum Qualifications:
 
 
 
 
 Bachelor's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, Mathematics, Statistics, or related field; Master's degree is preferred. Microsoft Certified: Azure AI Engineer Associate (AI-102) certification is highly preferred.
 
 
 
 
 Minimum Experience:
 
 
 
 
 3+ years of hands-on experience in designing, developing, and deploying AI/ML or Generative AI solutions in production environments.
 
 
 Mandatory hands-on experience with Microsoft Azure AI Services.
 
 
 Experience working with large-scale datasets and real-time enterprise data.
 
 
 Experience in financial services, banking, risk, compliance, customer service, or regulated enterprise environments is an advantage.
 
 
 
 
 Knowledge and Skills:
 
 
 
 
 
 Business Understanding:
 
 
 
 Strong understanding of business processes and the ability to identify opportunities for AI-driven optimization and automation across banking domains.
 
 
 
 Analytical &amp; Problem-Solving:
 
 
 
 Excellent analytical, problem-solving, debugging, and performance optimization skills with the ability to troubleshoot AI applications in production and translate complex business problems into AI solutions.
 
 
 
 Communication Skills:
 
 
 
 Strong verbal and written communication skills, capable of explaining complex AI concepts to both technical and non-technical stakeholders.
 
 
 
 Collaboration:
 
 
 
 Proven ability to work effectively in cross-functional teams, collaborating with data scientists, platform engineers, DevOps engineers, business analysts, and product teams.
 
 
 
 Responsible AI Mindset:
 
 
 
 Understanding of AI governance, model risk, data privacy, security, and compliance requirements in a regulated banking environment.
 
 
 
 Production Engineering:
 
 
 
 Ability to build, deploy, monitor, and optimize production-grade AI systems with attention to reliability, scalability, cost, and operational excellence.
 
 
 
 Adaptability &amp; Learning:
 
 
 
 Willingness to stay updated on the latest AI technologies, agentic frameworks, and cloud services, and the ability to apply them to solve evolving business challenges.
 
 
 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 Engineer

Explore 321+ Security operations engineer in Dubai this July. Find roles across top companies and apply now to boost your career.

321 security operations engineer jobs In Dubai

DevOps Engineer

IT & ELV Application Engineer (Genetec, Milestone, CEM, etc.)

Data Engineer

Senior DevOps Engineer (OpenShift)

Senior DevOps Engineer (OpenShift)

Solutions Engineer

AI Engineer