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associate production engineer

enterprise cloud architect

Vtricks Technologies 

Job Title: AWS Cloud Engineer (4&ndash;7 Years)Location: Dubai Experience: 4&ndash;7 Years Employment Type: Full-TimeAbout the RoleWe are looking for a skilled AWS Cloud Engineer to join our growing team in Dubai. The ideal candidate should have strong hands-on experience in designing, deploying, and managing cloud-native applications and infrastructure on AWS. You will work closely with development and DevOps teams to build scalable, secure, and highly available cloud solutions while driving automation and operational excellence.Key Responsibilities<ul><li>Design, deploy, and manage scalable cloud infrastructure on AWS.</li><li>Work extensively with AWS services such as EC2, VPC, IAM, S3, RDS, ELB/ALB, Route 53, CloudWatch, and CloudFormation.</li><li>Build, deploy, and support microservices-based applications.</li><li>Develop and maintain CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar tools.</li><li>Containerize applications using Docker and manage Kubernetes clusters (EKS preferred).</li><li>Implement Infrastructure as Code (IaC) using Terraform or CloudFormation.</li><li>Collaborate with development teams to integrate backend services and REST APIs.</li><li>Monitor infrastructure, troubleshoot production issues, and optimize system performance.</li><li>Implement cloud security best practices, IAM policies, authentication, and access controls.</li><li>Work with messaging systems such as Kafka, RabbitMQ, or IBM MQ for event-driven architectures.</li><li>Ensure high availability, scalability, and disaster recovery for cloud applications.</li><li>Participate in Agile/Scrum ceremonies and support continuous improvement initiatives.</li></ul>Required Skills<ul><li>4&ndash;7 years of experience in AWS Cloud Engineering, DevOps, or Cloud Infrastructure.</li><li>Strong hands-on experience with AWS core services (EC2, VPC, IAM, S3, RDS, ELB, CloudWatch).</li><li>Experience with Docker and Kubernetes (EKS preferred).</li><li>Strong understanding of Microservices Architecture and REST APIs.</li><li>Experience building and maintaining CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, or similar.</li><li>Hands-on experience with Infrastructure as Code (Terraform preferred).</li><li>Knowledge of event-driven architecture and messaging platforms such as Kafka, RabbitMQ, or IBM MQ.</li><li>Proficiency in at least one programming language (Python, Node.js, or .NET).</li><li>Good understanding of IAM, OAuth2, cloud security, and authentication mechanisms.</li><li>Experience with monitoring and logging tools such as ELK Stack, CloudWatch, Prometheus, or Grafana.</li><li>Strong troubleshooting, analytical, and problem-solving skills.</li></ul>Good to Have<ul><li>AWS Certifications (AWS Solutions Architect Associate, AWS Cloud Practitioner, or equivalent).</li><li>Exposure to Azure, GCP, or OCI.</li><li>Experience working in Banking, FinTech, or other regulated industries.</li><li>Knowledge of DevSecOps practices and security automation.</li><li>Experience with Agile/Scrum development methodologies.</li></ul>Preferred Qualifications<ul><li>Bachelor's degree in Computer Science, Information Technology, or a related field.</li><li>Excellent communication and stakeholder management skills.</li><li>Ability to work independently in a fast-paced, collaborative environment.</li></ul>Why Join Us?<ul><li>Opportunity to work on enterprise-scale cloud transformation projects.</li><li>Exposure to modern cloud-native technologies and DevOps practices.</li><li>Collaborative work environment with opportunities for continuous learning and career growth.</li><li>Competitive compensation and benefits.</li></ul>Pay: AED3,755.12 - AED16,307.19 per monthApplication Question(s):<ul><li>What is your notice period in days?</li></ul>Experience:<ul><li>AWS Cloud Engineering, DevOps, or Cloud Infrastructure: 4 years (Required)</li></ul>Location:<ul><li>Dubai (Required)</li></ul>Work Location: In person

AWS Cloud Engineer (4–7 Years)

Genesys

<div>
 
 Be the one building AI-powered experiences where they matter most.
 
 
 
 At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.
 
 
 Help build, support and operate technology used by more than 8,000 organizations in over 100 countries &ndash; moving AI from possibility to production in real-world enterprise environments every day.
 
 
 The
 
 Genesys AI Architect
 
 is a senior presales AI specialist who operates across three core motions:
 
 
 <ul>
 <li>
 Driving strategic AI opportunities with customers and sales teams
 </li>
 <li>
 Scaling the field through reusable assets, technical enablement, and coaching
 </li>
 <li>
 Shaping product and go-to-market direction through real-world customer and field feedback
 
 
 </li>
 </ul>
 This role requires a blend of deep AI technical acumen, exceptional sales, communication, and executive storytelling skills, and the ability to translate complex capabilities into clear, actionable business value.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design end-to-end AI systems for customer experience use cases. Architect reliable, production-ready AI solutions that go beyond prompt design, combining LLMs, deterministic workflows, tools, and orchestration layers. Define how AI interacts across the full journey (self-service, agent copilot, journey management, and back-office automation), including fallback strategies, human handoff, and failure handling.
 </li>
 <li>
 Optimize retrieval-augmented generation (RAG) and knowledge architectures to extend Genesys solutions where required. Design scalable knowledge and retrieval strategies that ground AI responses in enterprise data. Develop approaches for content structuring, chunking, embedding, and ranking to ensure accuracy, relevance, and freshness. Partner with customers to align AI outputs with trusted knowledge sources while balancing performance, latency, and governance requirements.
 </li>
 <li>
 Establish AI evaluation frameworks and quality measurement strategies. Define how success is measured for AI-driven experiences, including accuracy, containment, customer satisfaction, and business impact. Create test sets, evaluation methodologies, and feedback loops to continuously improve performance. Translate technical quality metrics into business-relevant outcomes to support customer decision-making and adoption.
 </li>
 <li>
 Engineer contextual AI experiences that leverage real-time data and conversation state. Design how AI systems incorporate dynamic context such as customer data, interaction history, and external signals. Optimize context management and prompt structure to maximize relevance while managing token limits and response quality. Ensure AI interactions remain coherent, personalized, and aligned across channels and touchpoints.
 </li>
 <li>
 Design for scalability, latency, and cost efficiency in enterprise environments. Evaluate and optimize AI solutions for real-world constraints, including response time (especially for voice), throughput, and cost at scale. Make informed tradeoffs across model selection, caching strategies, and architecture patterns to deliver performant and economically viable solutions. Ensure designs meet enterprise expectations for reliability and responsiveness.
 </li>
 <li>
 Leverage expert-level knowledge of Genesys AI capabilities to articulate and demonstrate product value to customers and prospects.
 </li>
 <li>
 Support pre-sales activities such as technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
 </li>
 <li>
 Design and deploy AI prototypes in sandbox and/or customer development environments to validate use cases, integrations, latency, and success criteria, and to highlight the differentiated value of Genesys AI.
 </li>
 <li>
 Partner with account teams and Professional Services to transition successful prototypes into production pilots supporting technical handoff, hardening, KPI alignment, and business outcome validation.
 </li>
 <li>
 Build integrations to third-party systems via RESTful APIs and emerging interoperability patterns such as MCP and A2A showcasing the art of the possible with Genesys Cloud AI solutions.
 </li>
 <li>
 Develop reusable technical assets and enable Solution Consultants, partners, and account teams through workshops, coaching, and scalable technical content.
 </li>
 <li>
 Provide technical feedback and strategic insights to Product Management and Engineering on AI product design, implementation considerations, and customer-driven enhancements.
 </li>
 <li>
 Influence CIO/CTO-level stakeholders and position Genesys as integral to an organization&rsquo;s broader IT and transformation strategy.
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 AI Architecture &amp; Technical Judgment: Hands-on experience designing modern AI solutions for customer experience orchestration and contact center use cases using the right mix of classic ML, NLU/NLP, retrieval-based systems, LLMs, orchestration patterns, tool use and agentic approaches. Ability to make and defend architecture tradeoffs across latency, cost, explainability, governance, multilingual requirements, and business risk.
 </li>
 <li>
 Enterprise Integration &amp; Real-Time Design: Expertise integrating AI solutions with enterprise platforms, knowledge sources, RESTful APIs, event-driven architectures, identity systems, and broader cloud ecosystems. Able to design for real-world constraints including voice latency, fallback paths, throughput, reliability, and secure data access.
 </li>
 <li>
 Evaluation, Governance &amp; Observability: Ability to define AI evaluation strategies, success metrics, and monitoring approaches across offline and online testing, retrieval quality, tool-call accuracy, safety, drift, auditability, and cost control.
 </li>
 <li>
 Executive Communication &amp; Field Enablement: Strong ability to translate complex AI architectures into clear business value for technical and executive stakeholders, while also creating reusable assets, workshops, and enablement content that scale field capability across the SC organization.
 </li>
 <li>
 Prompt Design &amp; AI Workflow Optimization: Practical experience designing prompts, context strategies, and orchestration flows as part of a broader system architecture, rather than as a standalone discipline.
 </li>
 <li>
 Technical Demonstration Prowess: Proven ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.
 </li>
 <li>
 Sales Acumen: Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.
 </li>
 <li>
 Business Value Orientation: Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.
 </li>
 <li>
 Executive Presence: Proven ability to influence CIO/CTO decision-makers.
 </li>
 <li>
 Strong understanding of the Genesys Cloud platform and Genesys AI preferred.
 </li>
 <li>
 Foundational understanding of programming concepts (Python preferred).
 </li>
 <li>
 Fluency in English and Arabic languages.
 </li>
 <li>
 French language fluency as a plus.
 
 
 </li>
 </ul>
 
 Working at Genesys
 
 
 
 <ul>
 <li>
 AI at enterprise scale &ndash; Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+ new AI features were released in the last fiscal year
 </li>
 <li>
 A flexible-first culture &ndash; Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
 </li>
 <li>
 Growth in the AI era &ndash; Build future-ready skills through mentorship, learning programs, leadership development and education support
 </li>
 <li>
 Time to recharge and give back &ndash; Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families
 </li>
 <li>
 Recognized globally &ndash; Genesys is Great Place to Work&reg; certified in 17 countries and 94% of employees are proud to tell others they work at Genesys
 
 
 </li>
 </ul>
 Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
 
 
 
 What Happens After You Apply
 
 
 
 After you apply, here's what you can typically expect:
 
 
 <ul>
 <li>
 Our Talent Acquisition team reviews your application with the hiring team
 </li>
 <li>
 A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
 </li>
 <li>
 Next, you'll meet the hiring manager and other members of the interview team
 </li>
 <li>
 We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases
 </li>
 <li>
 After interviews are complete, our team will follow up with the final steps
 
 
 </li>
 </ul>
 Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
 
 
 
 Stay Connected
 
 
 
 Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
 
 
 Get notified about relevant opportunities.
 
 
 
 Be the one building what's next - where AI, experience and impact come together.
 
 
 
 
 Employee Referral
 
 
 
 If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
 
 
 
 About Genesys:
 
 
 
 Genesys&reg; empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud&trade; is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
 
 
 
 Reasonable Accommodations:
 
 
 
 If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.
 
 
 You can expect a response within 24&ndash;48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.
 
 
 This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation&mdash;such as application follow-ups or resume submissions&mdash;may not receive a response.
 
 
 
 Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
 
 
 
 
 Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
 
 
 
</div>

AI Solution Architect EMEA

Kingston Stanley

<div>
 
 We&rsquo;re looking for a hands-on
 
 Azure Cloud Engineer
 
 to join a modern, Infrastructure-as-Code-driven environment built entirely on automation, scalability, and AI-first engineering practices.
 
 
 You&rsquo;ll work in a 100% cloud-native estate on Microsoft Microsoft Azure, owning and evolving core platform services across compute, networking, security, and DevOps.
 
 
 
 
 
 
 Tech Stack
 
 
 
 Terraform / Terragrunt | Azure DevOps | AKS &amp; Helm | PowerShell | Ansible | Sentinel | App Insights | Prometheus | Grafana | Loki
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build &amp; run Azure infrastructure at scale (VMs, AKS, networking, DR)
 </li>
 <li>
 Own Infrastructure-as-Code (modular Terraform/Terragrunt)
 </li>
 <li>
 Manage CI/CD pipelines (90+ Azure DevOps pipelines)
 </li>
 <li>
 Operate Kubernetes platforms &amp; observability stack
 </li>
 <li>
 Drive automation across identity, security, and operations
 </li>
 <li>
 Support multi-region DR and enterprise-grade resilience
 </li>
 </ul>
 
 
 
 
 
 Mindset
 
 
 <ul>
 <li>
 AI-first engineering (ChatGPT / Claude / Copilot)
 </li>
 <li>
 Automation-first, IaC-first approach
 </li>
 <li>
 Strong ownership in a senior, fast-moving team
 </li>
 </ul>
 
 
 
 
 
 Must Have
 
 
 
 
 Azure | Terraform | AKS | Azure DevOps | PowerShell | Networking | AD/Entra ID
 
 
 
 
 
 
 
 Salary: AED 22k standard benefits
 
 
</div>

IT Cloud Engineer Azure

Jorofy Private Limited

ENUM is Hiring in Oman | Enterprise System Architect &amp; Digital Transformation Consultant (On-Site)We are looking for a highly experienced professional to lead enterprise architecture and digital transformation initiatives across government and enterprise environments.Enterprise System Architect &amp; Digital Transformation ConsultantLocation: Oman (On-site)Key Skills &amp; Experience:✔ Enterprise Architecture &amp; Solution Design (TOGAF preferred) ✔ Microsoft .NET, Azure, Microservices &amp; API-first architecture ✔ AI/ML integration, LLMs, RAG, and intelligent systems design ✔ DevOps, CI/CD pipelines, Docker &amp; cloud-native practices ✔ Enterprise integration, system modernization &amp; governance ✔ Experience in government or large-scale enterprise projectsKey Responsibilities:✔ Design scalable and secure enterprise architectures ✔ Lead digital transformation and modernization initiatives ✔ Architect AI-enabled and data-driven platforms ✔ Define integration frameworks and technical standards ✔ Oversee end-to-end software engineering and deliveryInterested candidates may share their CV at: careers@enums.coCandidates with GCC or government project experience will be preferred.#Hiring #OmanJobs #EnterpriseArchitecture #DigitalTransformation #MicrosoftAzure #DotNet #AI #SystemArchitecture #TechnologyJobsEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Enterprise Architecture &amp; Solution Design : 10 years (Required)</li></ul>Work Location: In person

Enterprise System Architect & Digital Transformation Consultant

Al-Futtaim

<div>Job Requisition ID: 179260
Established in the 1930s as a trading business, Al-Futtaim Group today is one of the most diversified and progressive, privately held regional businesses headquartered in Dubai, United A&rdquo;rab Emirates. Structured into five operating divisions; automotive, financial services, real estate, retail and healthcare; employing more than 35,000 employees across more than 20 countries in the Middle East, Asia and Africa, Al-Futtaim Group partners with over 200 of the world's most admired and innovative brands. Al-Futtaim Group&rsquo;s entrepreneurship and relentless customer focus enables the organisation to continue to grow and expand; responding to the changing needs of our customers within the societies in which we operate.
By upholding our values of respect, excellence, collaboration and integrity; Al-Futtaim Group continues to enrich the lives and aspirations of our customers each and every day. 


Overview of the role

As an Engineer in the Cloud Security Platforms team, you will be supporting the design, implementation, and maintenance of security tools across cloud and hybrid environments. This role focuses on operational support for key security controls while contributing to ongoing security improvement initiatives. You will work closely with experienced engineers and cross-functional teams to integrate security into operations and development workflows. You will build advanced skills and deep experience managing security platforms in a hybrid environment, managing firewalls, Web Application Firewalls (WAFs) and cloud-native security tools. 


What you will do
<ul>
<li>Provide day-to-day operational support for security controls, including network firewalls, web application firewalls, cloud security groups and native cloud security services.</li>
<li>Participate in monitoring and documenting security incidents, provide incident response and manage escalations appropriately.</li>
<li>Support vulnerability management processes by maintaining systems and tools to their latest stable releases, participating in remediation efforts and coordinating with governance teams.</li>
<li>Participate in implanting new controls, automate routine tasks, contribute to security projects, support internal reviews and audits.</li>
<li>Collaborate with InfraOps, governance, DevOps and business teams to integrate security best practices in IT and business operations.</li></ul> 


Required Skills to be successful
<ul>
<li>Strong analytical and problem-solving skills with attention to detail.</li>
<li>Effective communication and collaboration with technical and non-technical teams.</li>
<li>Commitment to continuous learning, ability to work independently and in a team setting.</li></ul> 


What equips you for the role
<ul>
<li>Bachelor&rsquo;s degree in computer science, Information Technology, Cybersecurity or a related field.</li>
<li>1-3 years of work experience in IT Security, network administration, cloud ops or a similar role.</li>
<li>Good understanding of cybersecurity principles and cloud platforms (Azure, OCI, AWS) and basic understanding of cloud-native security features such as Defender for Cloud, IAM, Security Groups, Guard Duty, Sentinel.</li>
<li>Hands-on Exposure to security tools such as firewalls (e.g. Cisco, Palo Alto, Checkpoint, Fortinet), WAF (Cloudflare, f5, Imperva), cloud security controls.</li>
<li>Basic knowledge of networking concepts, security principles (e.g. Zero Trust, Lease Privilege) and common threats (e.g. DDoS, SQL injection).</li>
<li>Experience with scripting languages (Python, PowerShell) and automation tools (Terraform) is a plus.</li></ul> 
We&rsquo;re here to provide excellent service but a little help from you can ensure a five-star candidate experience from start to finish. 

Before you click &ldquo;apply&rdquo;: Please read the job description carefully to ensure you can confidently demonstrate why this opportunity is right for you and take the time to put together a well-crafted and personalised CV to further boost your visibility. Our global Talent Acquisition team members are all assigned to specific businesses to ensure that we make the best matches between talent and opportunities. We not only consider the requisite compatibility of skills and behaviours, but also how candidates align with our Values of Respect, Integrity, Collaboration, and Excellence. 

As part of our candidate experience promise, we also want to make ourselves available to you throughout the application process. We make every effort to review and respond to every application.</div>

UAE National_Engineer - Cloud Security Platforms

Deeplight

<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 &quot;off-the-shelf&quot; fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world.
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 &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; 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

Group AMANA

<div>
 
 Amana is seeking an experienced Data Platform Lead with deep expertise in Databricks, the Microsoft Azure ecosystem, and modern lakehouse architectures. The ideal candidate will play a central role in Amana's ongoing platform refresh, moving workloads from Synapse Analytics to a Databricks lakehouse with Unity Catalog, and building the technical foundation that powers analytics, AI, and governance across the enterprise. This role sits within Amana's Data Science, Governance &amp; AI Centre of Excellence, working alongside architects, engineers, analysts, data scientists, and AI engineers, with future growth opportunities into senior platform leadership.
 
 
 
 
 
 
 Why This Role Matters
 
 
 
 Amana operates across capital-intensive sectors where data reliability, cost discipline, and speed of insight are business-critical. The enterprise data platform is the backbone of every downstream analytics, AI, and governance initiative &mdash; from ERP-integrated reporting and predictive models to Agentic AI and Copilot rollouts across the group.
 
 
 You will be at the technical centre of this transformation, designing, building, and hardening the lakehouse that the rest of the function depends on.
 
 
 
 
 
 
 Core Responsibilities
 
 
 
 
 Lakehouse Architecture &amp; Delivery
 
 
 <ul>
 <li>
 Design and deliver end-to-end Databricks lakehouse components &mdash; ingestion, transformation, semantic layer, and serving.
 </li>
 <li>
 Set and enforce Delta Lake and medallion architecture standards across bronze, silver, and gold layers.
 </li>
 <li>
 Lead the technical execution of the Synapse Analytics to Databricks migration, including parallel run, cutover, and decommissioning.
 </li>
 <li>
 Contribute to and sign off on reference designs, integration patterns, and architecture decision records.
 </li>
 </ul>
 
 
 
 
 
 Data Engineering &amp; Integration
 
 
 <ul>
 <li>
 Build and maintain robust ingestion and transformation pipelines from Amana's core enterprise systems: Oracle Fusion (Finance, HCM, P2P, CRM), Hyperion, CMiC, project and operations systems, SharePoint, and Power Platform.
 </li>
 <li>
 Apply strong CI/CD, DataOps, and infrastructure-as-code practices using Git, Azure DevOps, and Terraform or Bicep.
 </li>
 <li>
 Ensure platform reliability through monitoring, alerting, and structured incident response.
 </li>
 </ul>
 
 
 
 
 
 AI/ML &amp; Analytics Enablement
 
 
 <ul>
 <li>
 Build and operate feature store, MLOps, and LLMOps foundations on Databricks.
 </li>
 <li>
 Enable production-grade RAG, agent, and Copilot patterns in partnership with the Data Scientist and AI Engineer.
 </li>
 <li>
 Deliver Power BI semantic models, certified datasets, and self-service guardrails supporting the Amana Digital Academy and enterprise adoption.
 </li>
 </ul>
 
 
 
 
 
 Data Governance &amp; Trustworthy Data
 
 
 <ul>
 <li>
 Implement lineage, cataloguing, access control, data quality, and PDPL controls inside the platform using Unity Catalog and Microsoft Purview.
 </li>
 <li>
 Partner with the Data Governance Office to translate live policies into enforceable platform controls.
 </li>
 <li>
 Support regulatory, ethical, and internal compliance obligations across the data estate.
 </li>
 </ul>
 
 
 
 
 
 Cloud &amp; Cost Discipline
 
 
 <ul>
 <li>
 Own FinOps hygiene on the platform: cluster policies, workload tiering, rightsizing, and chargeback readiness.
 </li>
 <li>
 Translate cloud cost outcomes into commercial terms understood by finance and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Technical Leadership
 
 
 <ul>
 <li>
 Work closely with the Data Architect, Data Engineer, Data Analyst, Data Scientist, and AI Engineer to set and uphold technical standards.
 </li>
 <li>
 Provide hands-on technical guidance and code review across the team.
 </li>
 <li>
 Translate business requirements into technical designs with clear delivery outcomes.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications
 
 
 <ul>
 <li>
 Minimum of 7 years in data engineering or data platform work, with strong hands-on delivery experience.
 </li>
 <li>
 At least 3 years hands-on with Databricks, Apache Spark, and Delta Lake at enterprise scale. Snowflake or BigQuery experience is acceptable where the CV shows a real Databricks migration.
 </li>
 <li>
 Contributed to the build or rebuild of an enterprise data platform serving multiple business domains.
 </li>
 <li>
 Deep hands-on experience with the Azure data stack: Databricks, ADLS, Azure Data Factory, Synapse, Azure SQL, Fabric.
 </li>
 <li>
 Direct experience integrating heavy ERP sources: Oracle Fusion, Hyperion, CMiC, or equivalent estates.
 </li>
 <li>
 Governance shipped to production using Unity Catalog or Microsoft Purview, with PDPL or GDPR controls operational, not theoretical.
 </li>
 <li>
 Practical FinOps outcomes on cloud spend.
 </li>
 <li>
 Strong on CI/CD, Git, Azure DevOps, and infrastructure-as-code (Terraform or Bicep).
 </li>
 <li>
 Excellent written and verbal communication skills across technical and business audiences.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Direct experience of a Synapse Analytics to Databricks migration.
 </li>
 <li>
 Exposure to MLOps and LLMOps stacks: MLflow, feature store, vector stores, RAG, agent frameworks.
 </li>
 <li>
 Familiarity with Power BI semantic models and enterprise BI governance.
 </li>
 <li>
 Streaming and event-driven experience: Kafka, Event Hubs, Structured Streaming.
 </li>
 <li>
 Multi-entity, multi-country group exposure with mixed data residency considerations.
 </li>
 <li>
 Industry experience in construction, engineering services, manufacturing, energy, or logistics.
 </li>
 </ul>
 
 
 
 
 
 Certifications
 
 
 
 
 
 Mandatory:
 
 
 
 <ul>
 <li>
 
 Databricks Certified Data Engineer Professional
 
 (Candidates holding the Associate level will be considered on the condition that Professional is achieved within 6 months of joining.)
 </li>
 </ul>
 
 
 Preferred (one or more):
 
 
 <ul>
 <li>
 
 Databricks Certified Machine Learning Professional
 
 </li>
 <li>
 
 Databricks Certified Generative AI Engineer Associate
 
 </li>
 <li>
 
 Microsoft Certified: Azure Data Engineer Associate
 
 (DP-203 / DP-700)
 </li>
 <li>
 
 Microsoft Certified: Fabric Analytics Engineer Associate
 
 (DP-600)
 </li>
 <li>
 
 Microsoft Certified: Azure Solutions Architect Expert
 
 </li>
 <li>
 
 Certified Data Management Professional (CDMP)
 
 &mdash; DAMA
 </li>
 </ul>
 
 
 Education
 
 
 
 M.Tech / B.E. / B.Tech (Computer Science, Information Systems, IT) / MCA / MCS.
 
</div>

Data Platform Lead

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