sales engineer

ai engineer

data engineer

infrastructure engineer

senior architect

cloud solution architect

Penta Consulting

<div>
 
 We are currently looking for an
 
 Arabic speaking
 
 Azure Cloud Solution Architect to work with our biggest customer in a full-time position, onsite in Dubai, UAE.
 
 
 
 
 
 In this role you will deliver technical advisories and drive architectural sessions with enterprise-size organisations in the region.
 
 
 
 
 
 The ideal candidate has hands on experience with the following services/responsibilities:
 
 <ul>
 <li>
 Virtualisation (Azure Local/Azure Stack HCI, Hyper-V, VMware)
 </li>
 <li>
 Azure Virtual Desktop (AVD)
 </li>
 <li>
 Core Azure IaaS services (Azure Site Recovery, Azure Backup, Azure Monitor, Azure Arc for Servers)
 </li>
 <li>
 Entra ID/Azure Identity services
 </li>
 <li>
 Delivering architectural sessions and deep technical advisories
 </li>
 </ul>
 
 
 
 
 If you have the above experience and are interested in this challenge, please apply!
 
 
 
 
 
 
 
 Successful candidates will be contacted within 2 weeks of applying
 
 
 
</div>

Cloud Solution Architect

DICETEK LLC

<div>ROLE OVERVIEW
We are seeking a highly experienced Solution Architect with 15+ years of extensive experience in IT architecture and solution design within the banking and financial services domain. The ideal candidate will bring deep expertise in architecting Open Finance ecosystems and driving AI-powered automation strategies to transform financial institutions globally. This role demands a strong blend of functional knowledge (50%) and technical expertise (50%), with the ability to bridge complex business requirements with robust, scalable, and secure technical solution designs.
The Solution Architect will be responsible for leading architecture and design for Retail banking, mobile banking, onboarding solutions , customer lifecyle management and AI/ML driven solutions. The role requires hands-on experience with cloud platforms (Azure, AWS), microservices, API-led integration, and modern technologies including Kubernetes, Kong, MQ, and Kafka. The candidate should also bring experience in AI/ML frameworks, RPA, and business process automation to drive intelligent transformation initiatives across the enterprise.
KEY RESPONSIBILITIES<ul><li>
Lead end-to-end solution architecture and design</li><li>
Design and implement scalable, secure, and high-performance digital ecosystems using microservices, API-led integration, and event-driven architecture patterns</li><li>
Architect cloud-native solutions on Azure and AWS, leveraging Kubernetes, Docker, Kong API Gateway, IBM MQ, and Apache Kafka</li><li>
Define and govern integration and interfacing patterns across core banking systems, payment engines, reconciliation platforms, and surrounding systems</li><li>
Design STP and Non-STP payment processing flows, rules engine configurations, and bulk/automated payment and reconciliation frameworks</li><li>
Drive AI/ML-powered automation initiatives using frameworks such as Ollama and LangChain, including NLP model enhancement for IVR automation</li><li>
Implement robotic process automation (RPA) solutions using Automation Anywhere and Blue Prism to streamline operational processes</li><li>
Design and optimize business process automation workflows using IBM BPM and Pega, supporting business process re-engineering initiatives</li><li>
Develop high-performance front-end solutions using React and Angular for digital banking channels, ensuring exceptional user experience</li><li>
Define and enforce non-functional architecture requirements including scalability, high availability, resilience, performance, and security</li><li>
Conduct integration and solution design workshops with cross-functional stakeholders, ensuring alignment between business requirements and technical solutions</li><li>
Develop business process models using UML, wireframes, and mock-ups to translate complex requirements into actionable solution blueprints</li><li>
Ensure requirement traceability and governance through structured documentation using Word, Excel, Visio, and tools such as JIRA, Confluence, and Azure DevOps</li><li>
Embed DevOps practices and Agile delivery methodologies to accelerate delivery while maintaining architectural integrity</li><li>
Align digital application strategies with enterprise architecture standards, ensuring regulatory compliance and sustainable technology modernization</li><li>
Support full project lifecycle activities from requirements analysis, solution design, build/configuration, testing, UAT, to production rollout</li><li>
Collaborate with business stakeholders, technology teams, and delivery partners to ensure solution alignment and organizational buy-in</li></ul>
MANDATORY SKILLS &amp; EXPERIENCE<ul><li>
10+ years of extensive experience in IT Architecture and Solution Design within the banking/financial services domain</li><li>
Detailed knowledge of Retail banking onboarding processes across different products</li><li>
Hands-on experience with Azure Cloud, AWS, Microservices Architecture, and API-led Integration</li><li>
Proficiency in Kubernetes, Kong API Gateway, IBM MQ, and Apache Kafka</li><li>
Strong experience in integration and interfacing with core banking and surround systems</li><li>
Deep understanding of non-functional requirements including scalability, security, resilience, and high availability</li><li>
Experience in payables and receivables management</li><li>
Proven track record of conducting integration and solution design workshops</li><li>
Experience STP and Non-STP processes, and AI Driven rules engine setup</li><li>
50% Functional and 50% Technical capability &mdash; must bridge business requirements with technical solution design</li><li>
Must have application knowledge in Retail Detail channels</li><li>
Strong analytical and problem-solving skills with excellent documentation capabilities</li><li>
Fair understanding of various stages of the project lifecycle including requirements analysis, design, build/configuration, testing, and rollout</li></ul>
PREFERRED / GOOD-TO-HAVE SKILLS<ul><li>
Experience in AI/ML frameworks such as Ollama and LangChain</li><li>
Hands-on experience with RPA platforms &mdash; Automation Anywhere and Blue Prism</li><li>
Experience with business process automation tools &mdash; IBM BPM and Pega</li><li>
Proficiency in front-end technologies &mdash; React and Angular</li><li>
Back-end development experience with Spring Boot and Node.js</li><li>
NLP model development and IVR automation experience</li><li>
Understanding of any Core Banking systems (e.g., T24, Finacle)</li><li>
Business Process Management / Re-Engineering experience</li><li>
Exposure to requirement management tools (JIRA, Confluence, Azure DevOps)</li><li>
Experience in Open Finance ecosystem architecture</li><li>
Knowledge of business process modelling tools (UML), mock-ups, and wireframes</li></ul></div>

Senior Solution Architect — Banking & Digital Transformation

Google

<div><h3 class="jobSectionHeader">Minimum qualifications:</h3><ul>
<li>Bachelor's degree or equivalent practical experience.</li>
<li>10 years of experience with cloud native architecture in a customer-facing or support role.</li>
<li>Experience in public cloud architecture, including compute, networking, IAM, and microservices.</li>
<li>Experience in pre-sales agreement acceleration, running technical proof of concepts (PoCs), and leading technical workshops.</li></ul> 
<h3 class="jobSectionHeader">
Preferred qualifications:</h3><ul>
<li>Experience working in at least one of the following domains: artificial intelligence (AI), data, or infrastructure.</li>
<li>Experience in enterprise technology buying and evaluation processes.</li>
<li>Understanding of large-scale computing solutions, and the business-to-technology translation skills needed to challenge partner delivery strategies.</li>
<li>Ability to deliver results and work cross-functionally alongside direct Google Cloud Platform Customer Engineers to position and orchestrate a solution consisting of multiple products.</li>
<li>Ability to drive and influence partner technical audiences, identify expansion engagements within partner accounts, and ensure accelerated agreement velocity with zero partner-delivery escalations on partner-led delivery agreements .</li>
</ul><div><h2 class="jobSectionHeader">About the job</h2>
The Google Cloud Platform team helps customers transform and build what's next for their business &mdash; all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers &mdash; developers, small and large businesses, educational institutions and government agencies &mdash; see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners.

As a Partner Solution Architect, serve as the pre-sales solution design authority for our priority Regional System Integrators (RSIs) and strategic partners across the South geo clusters. You will be the ecosystem co-pilot to Google Cloud's Account Platform Customer Engineers. Where the Account Platform Customer Engineer owns the direct customer relationship and strategy, you will own your partner's technical capability to successfully deliver it. You will move seamlessly from regional advisory to deep, domain-specific execution (AI, Data, or Infrastructure) to capture the pre-sales gap, while ruthlessly deflecting post-sales delivery. 
 
As a Partner Solution Architect for RSIs and Strategic Partners, you will work in close collaboration with the Partner Development Managers responsible for the RSIs and Strategic Partners in your sub-region to create, drive and execute a joint business plan successfully, focusing on most impactful engagements across your sub-region and contribute to Partner Community in your domain of expertise.
Google Cloud accelerates every organization&rsquo;s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google&rsquo;s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.</div><div><h2 class="jobSectionHeader">
Responsibilities</h2><ul>
<li>Drive VIP, &quot;Red-Carpet&quot; bootcamps and hackathons for your partners to accelerate business cycles and to ensure high-quality on time delivery, driving a successful path to consumption.</li>
<li>Provide targeted pre-sales architectural support exclusively for RSIs and strategic partners in South, acting as a technical peer to Account Customer Engineers to unblock complex agreements or customize partner activation.</li>
<li>Serve as the regional pre-sales design authority by authoring baseline enterprise replicable assets (e.g., functional AI demos). Lead deep-dive technical sessions and hackathons for the regional Partner Technology Community to broadcast enablement 1-to-many.</li>
<li>Contribute to building, running and maintaining EMEA Partner Technology Community.</li>
<li>Be responsible for the technical review and validation of the highest impact statement of works (SoWs) to ensure a strict path to production and secure Partner funding return on investment (ROI).</li>
</ul></div>Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.</div>

Partner Solution Architect, Regional System Integrators

GlobalDrum

<div>
 
 
 Role: Backend Engineer (AI-First)
 
 
 
 
 
 
 
 
 Location:
 
 Dubai / Hybri
 
 
 
 dDepartment:
 
 Technology &amp; Operation
 
 
 
 sReports To
 
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 OPosition:
 
 Full-Tim
 
 
 
 
 
 
 e
 
 About u
 
 
 
 s:GlobalDrum is empowering the media sector to own, understand, and monetise their most valuable social audiences, using live audience behavioral data for brands to operate diversified business models on demand for themselve
 
 
 
 
 
 s.
 
 We are evolving our unique next-generation B2B2C Platform as a Service (PaaS) that operates on a globally distributed cloud infrastructure incorporating a scalable, event-driven architecture using the latest AI and data techniques to evolve an entire sect
 
 
 
 
 
 or.
 
 Located in London, Dubai, New York and Dubai, the Company is at the centre of reshaping how global brands will evolve in a sector valued at $276Bn in 2025 representing 30% of all digital ad spend
 
 
 ing.If this seems too ambitious for you, then don't ap
 
 
 
 
 
 
 ply.
 
 Job Descrip
 
 
 
 tion:Are you an AI pioneer who still loves to get your hands dirty in the code
 
 
 
 
 
 base?
 
 We are looking for a visio
 
 nary, hands-on AI/Backend Eng
 
 ineer to be a core builder of our multi-tenant platform. Working within a fast-paced development team in Dubai, you will architect and deploy the complex backend systems that drive monetisation such as content ingestion, ad-serving, and subscriptions. You will heavily leverage AI development tools to write, test, and ship AWS or cloud-agnostic code at unprecedented s
 
 
 
 
 
 peeds.
 
 If you thrive in a fast-paced environment and have a proven track record of building massive, data-intensive global systems, we want you as part of our engineerin
 
 
 
 
 
 
 g team.
 
 Key Responsib
 
 
 <ul>
 <li>
 ilities:Develop, test, and maintain backend services and public APIs for our multi-tenant SaaS p
 </li>
 <li>
 latform.Integrate third-party systems, including ad networks, subscription billing, and MCP so
 </li>
 <li>
 lutions.Write clean, efficient code while maximizing output through the use of agentic A
 </li>
 <li>
 I tools.Actively participate in daily stand-ups, sprint planning, and other Scrum cer
 </li>
 </ul>
 
 
 
 
 
 emonies.
 
 Required Skills and Qualif
 
 
 <ul>
 <li>
 ications:Proven experience in large-scale AI-assisted development and utilizing agentic w
 </li>
 <li>
 orkflows.Solid understanding of Solution Architecture, AWS, and cloud-agnostic infras
 </li>
 <li>
 tructure.Demonstrable experience working in fast-moving startup envi
 </li>
 <li>
 ronments.Practical experience operating within a strict Scrum/Agile f
 </li>
 </ul>
 
 
 
 
 
 ramework.
 
 Preferred Experience/Quali
 
 
 <ul>
 <li>
 fications:Hands-on experience with SaaS/PaaS platforms and multi-tenant arch
 </li>
 <li>
 itectures.Familiarity with MarTech, AdTech, payment systems, and MCP
 </li>
 </ul>
 
 
 
 
 
 solutions.
 
 Bonus Points If
 
 
 
 You Have...While not strictly required, exposure to the following will make you a standout
 
 <ul>
 <li>
 candidate:Deep understand
 
 ing of the Media
 
 and/or News technology
 </li>
 <li>
 ecosystems.Exp
 
 erienc
 
 e in AdTech (advertising networks, programmatic bidding, a
 </li>
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 d
 
 serving).A Startup/Scale-up
 
 background, bringing a strategic, client-centric, and solution-oriented mindset to technical probl
 </li>
 </ul>
 
 
 
 
 
 em-solving.
 
 
 
 <ul>
 <li>
 Why Join Us?The chance to build a ground-breaking AI platform
 </li>
 <li>
 from day oneCompetitive equity options packag
 </li>
 <li>
 e and salaryFlexible working
 </li>
 </ul>
 
 
 
 environment
</div>

Backend Engineer (AI-First)

Paramount Computer Systems

<div><div>Key Responsibilities</div><ul><li>
Operational Coverage
<ul><li>Provide first-line triage for alerts, user queries and basic incidents; execute runbooks, escalate per SLA.</li><li>
Perform detailed analysis, tuning, rule creation, and remediation of incidents requiring technical troubleshooting across DLP, classification, and IRM platforms.</li><li>
Lead advanced investigations, root cause analysis, complex incident containment, custom rules/scripts, integration with SIEM/SOAR, and vendor engagement for bug fixes/feature requests.</li></ul></li><li>
Incident &amp; Issue Management<ul><li>
Own incident lifecycle for data security events: detection investigation containment remediation recovery post‑incident review.</li><li>
Maintain an issues register/deviation tracker; prioritize, assign ownership, and track SLA-driven resolution.</li><li>
Produce incident reports, RCA, and recommendations; implement corrective and preventive actions.</li></ul></li><li>
Service Enhancement &amp; Continuous Improvement<ul><li>
Identify opportunities to improve detection fidelity, reduce false positives, and enhance user experience.</li><li>
Lead tuning, content updates (classification patterns, DLP fingerprints, policy sets), and automation to optimize operations.</li><li>
Develop and maintain playbooks, runbooks, and operational runbooks for repeatable tasks.</li></ul></li><li>
Policy Review &amp; Enforcement<ul><li>
Collaborate with governance and legal teams to design, review, and update data security policies and acceptable use frameworks.</li><li>
Implement and enforce policies via DLP/classification controls, IRM, encryption and endpoint integrations.</li><li>
Ensure auditability and evidence collection for compliance and regulatory requirements.</li></ul></li><li>
Platform &amp; Server Management<ul><li>
Oversee deployment, configuration, hardening, patching, backup and monitoring of DLP, classification, and IRM servers/applications (on‑prem and cloud).</li><li>
Ensure high availability, capacity planning, performance optimization, and disaster recovery readiness.</li><li>
Manage integrations with identity, endpoint, email, storage and cloud services (e.g., Microsoft 365, Exchange, SharePoint, Box, OneDrive).</li></ul></li><li>
Architecture, Design &amp; Enhancement<ul><li>
Architect and validate solution designs, secure configurations and network integrations for data security tools.</li><li>
Produce high/low level design documents, solution architecture diagrams, and technical specifications.</li><li>
Conduct threat modelling and security reviews for proposed changes impacting data flows.</li></ul></li><li>
Transition &amp; Transformation<ul><li>
Lead technical transition activities for onboarding, migrations, or vendor replacements (discovery, cutover plans, rollback plans).</li><li>
Drive transformation initiatives (cloud enablement, SaaS adoption, automation, CI/CD for policies).</li><li>
Ensure knowledge transfer, create HLD/LLD, runbooks, training materials and handover to operations.</li></ul></li><li>
Stakeholder Engagement &amp; Reporting<ul><li>
Liaise with SOC, IT ops, endpoint, identity, legal/compliance, data owners, and business units.</li><li>
Provide regular operational and executive reporting (KPI dashboards for incidents, coverage, false positives, policy enforcement, classification coverage).</li><li>
Support audits, compliance assessments and third‑party reviews</li></ul></li></ul><div></div><div> 
Required Qualifications &amp; Experience</div><ul><li><ul><li>
Bachelor&rsquo;s degree in computer science, Information Security, or related field (Master&rsquo;s or relevant certifications preferred).</li><li>
8+ years&rsquo; experience in data security roles, with hands-on experience across DLP, Data Classification, and IRM solutions.</li><li>
Proven L1&ndash;L3 operational background: triage, remediation, advanced tuning and integrations.</li><li>
Experience managing DLP products (e.g., Forcepoint, Symantec/Digital Guardian, McAfee DLP), classification tools (Boldon James or similar, Titus), IRM (Seclore, Purview), and related ecosystem integrations.</li><li>
Strong server/platform administration skills (Windows/Linux), virtualization and cloud exposure (Azure/AWS).</li><li>
Knowledge of encryption, PKI, HSMs, and secure key management (Thales or similar).</li><li>
Familiarity with SIEM (Microsoft Sentinel), EDR, email gateways, and MDM integrations.</li><li>
Solid understanding of CIS, NIST, ISO27001 frameworks and data privacy regulations.</li><li>
Excellent troubleshooting, scripting (PowerShell, Python), and automation skills.</li><li>
Strong communication skills and experience working with cross-functional teams and senior stakeholders.</li></ul></li></ul><div></div><div> 
Desirable Certifications (Good to have)</div><ul><li><ul><li>
CISSP, CISM, CCSP, or equivalent</li><li>
Vendor-specific DLP/IRM certifications (Forcepoint/Symantec/Boldon/Seclore)</li><li>
Azure/AWS certifications, Microsoft 365 security certifications</li><li>
ITIL Foundation</li></ul></li></ul></div><div></div>

Data Security - DLP Architect

Jorofy Private Limited

We are seeking a highly skilled Senior AI Engineer (PhD) to lead the design, development, and deployment of advanced Artificial Intelligence and Machine Learning solutions. The ideal candidate will possess a PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, or a related field, along with extensive industry experience in developing AI-driven products, conducting research, and translating innovative concepts into scalable enterprise solutions.The role requires expertise in Generative AI, Large Language Models (LLMs), Deep Learning, Natural Language Processing (NLP), Computer Vision, and MLOps practices.Key ResponsibilitiesAI Research &amp; Innovation<ul><li>Conduct advanced research in Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.</li><li>Evaluate emerging AI technologies, frameworks, and methodologies to enhance organizational capabilities.</li><li>Publish research findings, technical papers, patents, or contribute to industry thought leadership initiatives.</li><li>Lead proof-of-concept (PoC) development for innovative AI solutions.</li></ul>Solution Design &amp; Development<ul><li>Architect and develop scalable AI/ML models and intelligent systems.</li><li>Design and optimize Large Language Model (LLM)-based applications and AI agents.</li><li>Build and fine-tune machine learning and deep learning models for production environments.</li><li>Develop AI-powered applications involving NLP, Computer Vision, Predictive Analytics, and Recommendation Systems.</li><li>Integrate AI solutions with enterprise platforms, APIs, and cloud environments.</li></ul>Generative AI &amp; LLM Engineering<ul><li>Develop and optimize Retrieval-Augmented Generation (RAG) architectures.</li><li>Fine-tune foundation models and implement prompt engineering strategies.</li><li>Design AI agents, autonomous workflows, and conversational AI solutions.</li><li>Implement vector databases and semantic search frameworks.</li><li>Evaluate model performance, accuracy, safety, and responsible AI practices.</li></ul>MLOps &amp; Deployment<ul><li>Build end-to-end ML pipelines for model training, deployment, monitoring, and maintenance.</li><li>Implement CI/CD processes for AI applications.</li><li>Optimize model performance, scalability, and infrastructure costs.</li><li>Monitor model drift and ensure continuous improvement.</li></ul>Leadership &amp; Collaboration<ul><li>Provide technical leadership and mentorship to AI Engineers, Data Scientists, and ML Engineers.</li><li>Collaborate with business stakeholders to identify AI opportunities and define solution roadmaps.</li><li>Participate in strategic technology planning and AI transformation initiatives.</li><li>Review code, architecture, and technical deliverables to ensure quality standards.</li></ul>Required QualificationsEducation<ul><li>PhD in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Mathematics, Statistics, or a related discipline.</li></ul>Experience<ul><li>8+ years of experience in AI/ML development, including research and production deployment.</li><li>Proven experience leading AI projects in enterprise environments.</li><li>Experience working with Generative AI, LLMs, and advanced deep learning architectures.</li></ul>Technical SkillsProgramming<ul><li>Python (Advanced)</li><li>SQL</li><li>Java, C++, or Scala (Preferred)</li></ul>AI/ML Frameworks<ul><li>PyTorch</li><li>TensorFlow</li><li>Keras</li><li>Scikit-learn</li><li>Hugging Face Transformers</li></ul>Generative AI &amp; LLM Technologies<ul><li>OpenAI APIs</li><li>LangChain</li><li>LangGraph</li><li>LlamaIndex</li><li>RAG Architectures</li><li>Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)</li></ul>Cloud Platforms<ul><li>AWS</li><li>Microsoft Azure</li><li>Google Cloud Platform (GCP)</li></ul>MLOps &amp; DevOps<ul><li>Docker</li><li>Kubernetes</li><li>MLflow</li><li>Kubeflow</li><li>Jenkins</li><li>GitHub Actions</li></ul>Databases<ul><li>PostgreSQL</li><li>MongoDB</li><li>Vector Databases</li></ul>Preferred Qualifications<ul><li>Publications in reputed journals or AI conferences (NeurIPS, ICML, ICLR, ACL, CVPR, etc.).</li><li>Experience in Agentic AI, Autonomous Systems, and Multi-Agent Frameworks.</li><li>Knowledge of AI Governance, Responsible AI, Explainable AI (XAI), and AI Security.</li><li>Industry certifications in Cloud, AI, or Machine Learning technologies.</li></ul>Core Competencies<ul><li>Strategic Thinking</li><li>Research &amp; Innovation</li><li>Problem Solving</li><li>Leadership &amp; Team Mentoring</li><li>Stakeholder Management</li><li>Communication &amp; Presentation Skills</li><li>Analytical Thinking</li><li>Project Management</li></ul>Key Deliverables<ul><li>Production-ready AI and Generative AI solutions.</li><li>Scalable machine learning pipelines and architectures.</li><li>AI research initiatives and innovation roadmaps.</li><li>Performance optimization and continuous model improvement.</li><li>Technical mentorship and knowledge-sharing across teams.</li></ul>Experience Required: 8&ndash;15+ Years Education: PhD (Mandatory) Level: Senior / Lead Individual Contributor or Technical Lead Role.Education:<ul><li>Master's (Preferred)</li></ul>Experience:<ul><li>Senior Engineer: 10 years (Required)</li></ul>Work Location: In person

Senior AI Engineer (PhD)

Confidential

OverviewThe IT Solution Architect will play a critical role in the design, implementation, deployment, and adoption of IT solutions across the organization. This role will be responsible for ensuring that solutions are scalable, secure, and aligned with business needs. You will work closely with various stakeholders and vendors to ensure that the solutions meet current requirements and are future-ready. Key Responsibilities1. Project Coordination:<ul><li>Plan, consult, and coordinate projects related to application design, development, and implementation.</li><li>Collaborate with cross-functional teams to ensure timely and successful project delivery.</li><li>Oversee the alignment of project goals with business requirements, ensuring seamless integration and functionality.</li></ul>2. Application Management:<ul><li>Maintain, customize, and enhance business applications based on user requirements.</li><li>Collaborate with end-users to understand their needs and ensure the solution is tailored accordingly.</li><li>Perform application upgrades, patches, and configuration changes as necessary to improve system performance.</li></ul>3. Solution Architecture Design:<ul><li>Define and document the overall solution architecture, ensuring alignment with business objectives.</li><li>Work closely with stakeholders to understand business needs and design technical solutions that address these requirements.</li><li>Evaluate and select appropriate technologies, platforms, and tools for the solution.</li></ul>4. Architectural Standards and Best Practices:<ul><li>Develop and maintain architectural standards, guidelines, and best practices to ensure consistency across projects.</li><li>Ensure solutions meet performance, scalability, and security requirements to support the organization's goals.</li><li>Continuously review and improve architectural standards in line with emerging trends and technologies.</li></ul>5. Technical Leadership and Support:<ul><li>Provide technical guidance and direction to development teams, ensuring that solutions are implemented as designed.</li><li>Identify and mitigate potential risks and issues related to the architecture and solution delivery.</li><li>Participate in post-implementation reviews to assess the solution’s performance and suggest improvements.</li></ul>   6. Continuous Improvement:<ul><li>Actively contribute to the continuous improvement of existing solutions, ensuring they remain efficient and relevant.</li><li>Stay informed of the latest developments in technologies and frameworks to recommend upgrades or changes to enhance system performance.</li></ul>Qualifications:<ul><li>Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.</li><li>Certifications: Relevant certifications in D365 F&amp;O, CRM, and other relevant streams like Azure or AWS platforms.</li><li>Experience: Minimum of 10 years of experience in application management, systems engineering, or software development, with significant experience in solution architecture.</li><li>Skills and Competencies:<ul><li>Strong problem-solving skills and analytical thinking.</li><li>Expertise in databases and SQL.</li><li>Solid knowledge of enterprise systems like MS D365 CRM, F&amp;O, Business Central.</li><li>Strong understanding of cloud computing concepts and architecture (Azure or AWS).</li><li>Excellent communication skills to articulate technical solutions to both technical and non-technical stakeholders.</li></ul></li></ul>Reporting Line: You will report to the Senior Manager - Group IT Applications.

IT Solution Architect

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