solutions architect

Planet

<div>
 <strong>
  Welcome to Planet. We believe in using space to help life on Earth.
  <br/>
  <br/>
 </strong>
 Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.
 <br/>
 <br/>
 Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world&rsquo;s toughest obstacles.
 <br/>
 <br/>
 As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.
 <br/>
 <br/>
 We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.
 <br/>
 <br/>
 Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.
 <br/>
 <br/>
 <strong>
  About The Role
  <br/>
  <br/>
 </strong>
 Planet&rsquo;s Professional Services team helps our Defense and Intelligence (D&amp;I) customers adopt the Planet Platform and rapidly realize return on investment in Planet data and analytics. The Professional Services Global D&amp;I team is looking for a Solutions Architect responsible for the implementation, integration, and analysis of new software and data products that extend the Planet Platform and deliver new capabilities to our strategic D&amp;I customers. In this role, you will be embedded with our customer to train users on Planet products, translate requirements, design workflows, and communicate with Planet&rsquo;s product team on mission critical capabilities. Your work will be highly visible, directly impacting customers' ability to quickly access Planet's unprecedented datasets, as well as streamline the internal processes for adding new customers to our platform. Ideal candidates will be excited about Planet&rsquo;s mission.
 <br/>
 <br/>
 This is a full-time, in-office position based in one of our strategic customer locations 5 days a week, in Abu Dhabi, UAE. This position is contingent upon award.
 <br/>
 <br/>
 <strong>
  Impact You&rsquo;ll Own
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Understand clients&rsquo; needs and deliver tailored solutions
  </li>
  <li>
   Break down ambiguous, high-stakes problems into clearly defined, solvable components
  </li>
  <li>
   Leverage analytical skills to deliver products to our D&amp;I customers and support mission requirements
  </li>
  <li>
   Design workflows, defining data models, configuring integrations, and helping define tooling that aligns to the customer&rsquo;s mission.
  </li>
  <li>
   Train users, iterate with them in real time, and ensure that Planet solutions become mission-critical to daily operations.
  </li>
  <li>
   Translate operational requirements into actionable product feedback for Planet&rsquo;s engineering teams.
  </li>
  <li>
   Communicate technical capabilities back to customers in clear, mission-focused language.
  </li>
  <li>
   Rapidly prototype, test, and adjust workflows to match real operational needs.
  </li>
  <li>
   Mapping out high-level strategy with decision makers by sitting next to analysts to debug workflows.
  </li>
  <li>
   Work closely with customer teams to understand their workflows, pain points, and mission priorities.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What You Bring
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software, Systems Engineering, or similar
  </li>
  <li>
   4+ years of experience in supporting D&amp;I customers, with specialized technical experience in the general areas of systems integration
  </li>
  <li>
   Fluent in Golang, Python, Postgresql, &amp; React or related technologies
  </li>
  <li>
   Experience with cloud deployments; GCP, AWS, Azure
  </li>
  <li>
   Solid problem-solving and systems thinking skills
  </li>
  <li>
   Exceptional communication and stakeholder management
  </li>
  <li>
   Ability to quickly learn new technical domains and tools
  </li>
  <li>
   Comfortable operating in ambiguous, high-pressure environments
  </li>
  <li>
   Deep curiosity and willingness to dive into operational details
  </li>
  <li>
   Fluency in translating between technical and non-technical audiences
  </li>
  <li>
   Experience with solving complex problems through analytical skills
  </li>
  <li>
   Experience scaling and maintaining production systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  What Makes You Stand Out
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience working with defense and intelligence organizations in the UAE
  </li>
  <li>
   Systems integrations experience working with multi domain/multi-level security architectures, particularly the Defence and Intelligence.
  </li>
  <li>
   Working knowledge of JavaScript and its mapping libraries (OpenLayers, Leaflet, ArcGIS API for JavaScript), Google Earth Engine and it&rsquo;s SDK
  </li>
  <li>
   Experience with RDBMS (PostgreSQL, SQL) and distributed databases (NoSQL)
  </li>
  <li>
   Experience in geopolitics and data science
  </li>
  <li>
   Ability to pick up new technologies quickly
  </li>
  <li>
   Experience with building analytical products from complex datasets
  </li>
  <li>
   Experience with geospatial technologies and data
  </li>
  <li>
   GEOINT experience, imagery exploitation and analysis
  </li>
  <li>
   Fluent in multiple languages
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Application Deadline:
 </strong>
 February 20th, 2026 at 11:59PM PST
 <br/>
 <br/>
 <strong>
  Benefits While Working At Planet
  <br/>
  <br/>
 </strong>
 <em>
  These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.
  <br/>
  <br/>
 </em>
 <ul>
  <li>
   Paid time off including vacation, holidays and company-wide days off
  </li>
  <li>
   Employee Wellness Program
  </li>
  <li>
   Home Office Reimbursement
  </li>
  <li>
   Monthly Phone and Internet Reimbursement
  </li>
  <li>
   Tuition Reimbursement and access to LinkedIn Learning
  </li>
  <li>
   Equity
  </li>
  <li>
   Volunteering Paid Time Off
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  San Francisco Fair Chance Ordinance
  <br/>
  <br/>
 </strong>
 Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
 <br/>
 <br/>
 <strong>
  Why We Care So Much About Belonging.
  <br/>
  <br/>
 </strong>
 We&rsquo;re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That&rsquo;s why Planet is guided by an ultimate north star of Belonging&mdash;dreaming big as we approach our ongoing work. If this job intrigues you, but you&rsquo;re thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don&rsquo;t just fill positions, we aspire to fulfill people&rsquo;s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you&rsquo;re excited to come along for the ride.
 <br/>
 <br/>
 <strong>
  EEO Statement
  <br/>
  <br/>
 </strong>
 Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. Know Your Rights.
 <br/>
 <br/>
 <strong>
  Accommodations
  <br/>
  <br/>
 </strong>
 Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the hiring process, please reach out to accommodations@planet.com or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.
 <br/>
 <br/>
 <strong>
  Privacy Policy
 </strong>
 : By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Planet Data Privacy Notice for California Staff Members and Applicants, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
 <br/>
 <br/>
 <strong>
  Privacy Policy (European Applicants):
 </strong>
 By clicking "Apply Now" at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.
 <br/>
 <br/>
 <strong>
  AI in Our Interviewing Process
 </strong>
 : Planet is committed to providing an exceptional interview experience for all candidates. We currently use Metaview to better focus on candidates and less on trying to capture notes. As such, with the candidate's consent, select interviews may be recorded and include a "Planet AI Notetaker" for transcription and summarization purposes. Should an interview involve use of AI interview technologies, the candidate will receive notification and have the ability to opt out both in advance and/or real-time. Opting out will not affect one's candidacy.
 <br/>
 <br/>
 <strong>
  Candidate AI Policy
 </strong>
 : Planet embraces Artificial Intelligence (AI) tools, and we encourage its responsible use. We understand that candidates may use various resources, including AI tools, to
 <em>
  prepare
 </em>
 for interviews and assessments. However,
 <em>
  during any live interview stage or when actively completing assessments for this position, the use of AI tools&mdash;e.g. Large Language Models (LLMs), deep fake technology, etc.&mdash;is strictly prohibited unless explicitly prompted by an interviewer or assessment instructions
 </em>
 . If you are unsure about acceptable use, please contact your recruiter for clarification. If an AI tool or similar technology is desired as an accommodation, please contact accommodations@planet.com with your request for assistance. Your message will be confidential, and we will be happy to assist you. Violation of this policy may result in disqualification of your application.
 <br/>
 <br/>
</div>


Solutions Architect Deployment Strategist

Unity Infotech

<div>
 <p>
  <strong>
   Role: Senior Solutions Architect / Engineer
  </strong>
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  7&ndash;10 Years
 </p>
 <p>
  <strong>
   Location:
  </strong>
  UAE
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Senior Solutions Architect / Engineer will be responsible for the design, implementation,
 </p>
 <p>
  integration, and production support of Wealth Management, Brokerage, and Investment
 </p>
 <p>
  platforms. The role requires deep techno-functional expertise across wealth asset classes, trading
 </p>
 <p>
  systems, consumer banking integrations, and modern cloud-native architectures, with strong
 </p>
 <p>
  ownership of production stability, scalability, and regulatory compliance.
 </p>
 <p>
  The position demands hands-on technical leadership, proactive system resilience improvements, and
 </p>
 <p>
  24/7 on-call production support in a highly regulated financial environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Required Skills &amp; Experience
  </strong>
 </p>
 <p>
  <strong>
   Mandatory
  </strong>
 </p>
 <p>
  &bull;7&ndash;10 years of experience in
  <strong>
   financial services technology
  </strong>
  , with strong focus on
  <strong>
   wealth
  </strong>
 </p>
 <p>
  <strong>
   management and brokerage platforms
  </strong>
 </p>
 <p>
  &bull;Hands-on experience in
  <strong>
   production support and system operations
  </strong>
 </p>
 <p>
  &bull;Strong analytical, troubleshooting, and problem-solving skills
 </p>
 <p>
  &bull;Excellent communication and stakeholder management capabilities
 </p>
 <p>
  &bull;Ability to work in fast-paced, regulated environments
 </p>
 <p>
  <strong>
   Desirable
  </strong>
 </p>
 <p>
  &bull;Experience working in
  <strong>
   UAE or GCC banking environments
  </strong>
 </p>
 <p>
  &bull;Exposure to
  <strong>
   digital assets Trading Platform Implementation
  </strong>
 </p>
 <p>
  &bull;Exposure to
  <strong>
   digital assets
  </strong>
  Custody Platform Implementation
 </p>
 <p>
  &bull;Cloud certifications (AWS / Azure)
 </p>
</div>


Solution Architect- Wealth Management

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>The Principal Full-Stack Architect (.NET &amp; Cloud) is a senior technical leader responsible for defining and driving the architecture of enterprise-scale applications across cloud, backend, frontend, data, DevOps, and AI-enabled solutions. The role combines strategic technology leadership with hands-on technical expertise, ensuring that solutions are scalable, secure, maintainable, and aligned with business objectives
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Drive the full SDLC for Azure solutions: planning, requirement definition, development, testing, and quality assurance.
</p></div><div><p>Develop, enhance, and integrate modules within core applications used by front-office investment teams.
</p></div><div><p>Design and build containerized applications (Docker, Kubernetes/AKS) and cloud-native data stores (Mongo, SQL).
</p></div><div><p>Develop RESTful APIs, microservices, and event-driven systems (Service Bus, Event Hubs) with strict secure-integration standards (OAuth2/OIDC, managed identities).
</p></div><div><p>Build responsive, cloud-connected front-end interfaces (React/TypeScript; real-time via SignalR).
</p></div><div><p>Design and deliver AI-enabled capabilities: document intelligence, retrieval/search (AI Search), and Azure OpenAI-based workloads over structured and unstructured data.
</p></div><div><p>Configure, maintain, and optimize CI/CD pipelines and infrastructure-as-code (Bicep/ARM, Terraform); enable self-service engineering capabilities.
</p></div><div><p>Implement large-scale data processing and advanced analytics solutions in collaboration with architecture and data teams.
</p></div><div><p>Own incident management: troubleshooting, root cause analysis, and preventive measures.
</p></div><div><p>Partner directly with senior IT and business stakeholders; own the platform narrative, adoption strategy, and delivery roadmap.
</p></div><div><p>Mentor cross-functional teams on cloud-native and AI best practices
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Must have:
</p></div><div><p>10+ years overall IT experience with a proven track record of architecting and delivering scalable cloud solutions through all SDLC phases.
</p></div><div><p>10+ years of .NET (C#) development within service-oriented and microservices architectures, including: ASP.NET Core / Web API, Entity Framework Core, async and concurrency patterns, and hands-on migration from .NET Framework to .NET 6/
</p></div><div><p>Production code on a current LTS version is expected; legacy-only (.NET Framework, WebForms) profiles do not qualify.
</p></div><div><p>7+ years hands-on Microsoft Azure: App Services, Functions, Logic Apps, AKS/Container Apps, APIM, Service Bus/Event Hubs, AI Search, AI Services/Azure OpenAI, Storage, Key Vault, Application Insights, Monitor. Skills:
</p></div><div><p>Demonstrated architecture ownership: solution/application architecture defined and delivered end-to-end at enterprise scale, including presenting architectural strategy to senior leadership. Candidates with purely implementation-level experience will not be considered.
</p></div><div><p>5+ years containerization and orchestration (Docker, Kubernetes/AKS) in production.
</p></div><div><p>5+ years Azure DevOps and CI/CD, including infrastructure-as-code (Bicep/ARM mandatory; Terraform preferred).
</p></div><div><p>Practical delivery of AI/GenAI workloads on Azure (Azure OpenAI, AI Search, document intelligence, or equivalent) &mdash; in production, within the last 24 months. Proof-of-concept-only or pre-2024 experience does not qualify.
</p></div><div><p>Deep database expertise: NoSQL (Mongo) and relational SQL, including data access patterns for AI use cases.
</p></div><div><p>Expertise in designing and consuming secure REST APIs; strong understanding of network architecture and authentication protocols (OAuth2/OIDC, managed identities).
</p></div><div><p>Modern front-end delivery: React/TypeScript with real-time capabilities (SignalR).
</p></div><div><p>Experience in regulated environments (financial services / investment management strongly preferred). Required certifications:
</p></div><div><p>Microsoft Certified: Azure Solutions Architect Expert: required. Applications without it are not shortlisted.
</p></div><div><p>Plus at least one of: Azure DevOps Engineer Expert or Azure AI Engineer Associate.
</p></div></div><p>Nice to have
</p><div><div><p>AWS and/or GCP exposure (multi-cloud evaluation experience)
</p></div><div><p>Terraform in production
</p></div><div><p>Python
</p></div><div><p>Databricks (recent, Unity Catalog-era experience) or comparable data/AI platforms; Palantir exposure
</p></div><div><p>Azure Security Engineer Associate
</p></div><div><p>Experience establishing self-service platforms for citizen developers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C2 Proficient
</p></div></div><div><div><p>Seniority</p>
<p>Lead</p></div></div></div></div></div>
<br><div><div><div><p>Abu Dhabi, United Arab Emirates
</p></div><p>Req. VR-123799
</p></div><div></div><div><div><p>C#/VB.NET
</p></div><div><p>BCM Industry</p>
</div><div><p>07/07/2026
</p></div><div><p>Req. VR-123799</p></div></div></div><p></p>

Principal Full-Stack Architect (.NET & Cloud)

Microsoft

<div><b>Overview</b><div><p><br>
With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.</p><p>
We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.</p></div><div><p>
The ideal candidate will have hands-on project delivery experience in customer-facing roles and success in leading in-depth technical security architecture discussions with senior customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to Secure our customer's technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.</p></div><b><br>
Responsibilities</b><p></p><div><ul><li><p><br>
Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
</p></li></ul></div><div><ul><li><p>AI &amp; Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
</p></li></ul></div><div><ul><li><p>Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes</p></li></ul></div><div><ul><li><p>
Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations</p></li></ul></div><div><ul><li><p>
Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health</p></li></ul></div><div><ul><li><p>
Customer Impact: Improve security posture with scalable, resilient, and high-performing designs</p></li></ul></div><div><ul><li><p>
Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes</p></li></ul></div><div><ul><li><p>
Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers</p></li></ul></div><div><ul><li><p>
Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security</p></li></ul></div><div><ul><li><p>
Practice Development: Contribute to capability building across CSA community and complex solution delivery</p></li></ul></div><b><br>
Qualifications</b><div><div><ul><li><p><br>
Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.</p></li></ul></div><div><ul><li><p>
Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
</p></li></ul></div><div><ul><li><p>Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)</p></li></ul></div></div><div><div><ul><li><p>
Microsoft Sentinel</p></li></ul></div><div><ul><li><p>
Microsoft Entra (identity, Conditional Access, lifecycle governance)</p></li></ul></div><div><ul><li><p>
Microsoft Purview (data security, compliance, governance)</p></li></ul></div><div><ul><li><p>
Demonstrated experience securing AI‑powered workloads, including:
</p></li></ul></div><div><ul><li><p>Identity, access control, and least‑privilege enforcement</p></li></ul></div><div><ul><li><p>
Data protection and information governance</p></li></ul></div><div><ul><li><p>
Threat detection, posture management, and incident response for AI systems
</p></li></ul></div><div><ul><li><p>Hands‑on understanding of agentic architectures, including:
</p></li></ul></div><div><ul><li><p>AI agents, copilots, or autonomous systems</p></li></ul></div><div><ul><li><p>
Agent identity, lifecycle, and access management concepts</p></li></ul></div><div><ul><li><p>
Observability, logging, and behavioural monitoring for autonomous systems
</p></li></ul></div><div><p><b>Preferred Qualifications</b></p></div><div><ul><li><p>
Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms</p></li></ul></div><div><ul><li><p>
Familiarity with AI security architecture patterns, including:
</p></li></ul></div><div><ul><li><p>Secure model access and isolation</p></li></ul></div><div><ul><li><p>
Guardrails, policy enforcement, and content safety</p></li></ul></div><div><ul><li><p>
AI workload discovery and posture management</p></li></ul></div><div><ul><li><p>
Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification</p></li></ul></div><div><ul><li><p>
Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
</p></li></ul></div><div><ul><li><p>Microsoft certifications such as:
</p></li></ul></div></div><div><div><ul><li><p>SC‑100: Cybersecurity Architect</p></li></ul></div><div><ul><li><p>
SC-200: Security Operations Analyst Associate</p></li></ul></div><div><ul><li><p>
SC-300: Identity and Access Administrator Associate</p></li></ul></div><div><ul><li><p>
AI-900: Microsoft Azure AI Fundamentals</p></li></ul></div><div><ul><li><p>
AZ-500: Azure Security Engineer Associate</p></li></ul><div><p><b>
Core Skills &amp; Attributes :</b></p></div><div><ul><li><p>
Strong hands‑on engineering mindset with architectural thinking
</p></li></ul></div><div><ul><li><p>Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
</p></li></ul></div><div><ul><li><p>Comfortable working across security, AI, and platform teams
</p></li></ul></div><div><ul><li><p>Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
</p></li></ul></div><div><ul><li><p>Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem</p></li></ul></div><div><ul><li><p>
Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams</p></li></ul></div><div><ul><li><p>
Ability to engage with CISOs, security architects, and IT leadership</p></li></ul></div><div><ul><li><p>
Proven customer‑facing delivery experience</p></li></ul></div><div><ul><li><p>
The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.</p></li></ul></div></div></div><br>
<br>
<p>This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.</p><p></p><p><br>
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process<b>.</b></p></div>

Cloud Solution Architecture-Security

<div>
 <strong>
  Overview
  <br/>
  <br/>
 </strong>
 With over 17,000 employees worldwide, the Microsoft Customer Experience &amp; Success (CE&amp;S) organization is responsible for the strategy, design, and implementation of Microsoft's end-to-end customer experience. Come join CE&amp;S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.
 <br/>
 <br/>
 We are looking for a highly motivated and passionate Security Cloud Solution Architect (CSA) to drive our customer's security transformation on the Microsoft Azure and Microsoft 365 Platforms. This is a customer-facing role, owning the security-focused technical relationship and strategy between the customer and Microsoft as well customer engagements, including architecture, implementation, and operational health.
 <br/>
 <br/>
 The ideal candidate will have hands-on project delivery experience in customer-facing roles and success in leading in-depth technical security architecture discussions with senior customer executives, Enterprise Security Architects, Enterprise Architects, IT Management, and Developers to Secure our customer's technology estate and drive Security as an enabler for Azure and Microsoft 365 workloads.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Trusted Advisor: Lead customers through secure AI and Security adoption&mdash;defining strategy, architecture, and implementation across M365 and Azure Security workloads.
  </li>
  <li>
   AI &amp; Agentic Security: Architect and secure AI workloads, including governance, identity, access, and observability leveraging Agent 365, MDASH, Defender for AI and DSPM for AI.
  </li>
  <li>
   Solution Design &amp; Delivery: Run architecture/design sessions and drive secure-by-design implementations aligned to business outcomes
  </li>
  <li>
   Adoption &amp; Expansion: Drive usage of M365 and Azure Security workloads (Defender stack, Entra, Sentinel, Purview, Agent 365, MDASH); expand security across cloud migrations
  </li>
  <li>
   Execution &amp; Blocker Removal: De-risk deployments, resolve technical barriers, and ensure operational health
  </li>
  <li>
   Customer Impact: Improve security posture with scalable, resilient, and high-performing designs
  </li>
  <li>
   Collaboration: Partner across sales, engineering, services, and partners to deliver end-to-end outcomes
  </li>
  <li>
   Field &amp; Product Feedback: Act as voice of customer to influence roadmap and remove systemic blockers
  </li>
  <li>
   Thought Leadership: Lead on end-to-end security architecture across threat protection, identity, and cloud security
  </li>
  <li>
   Practice Development: Contribute to capability building across CSA community and complex solution delivery
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Bachelor&rsquo;s degree in computer science, Information Technology, Engineering, Business, Cybersecurity, or related field 5+ years&rsquo; experience in cloud/infrastructure technologies, cybersecurity, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
  </li>
  <li>
   Deep understanding of Microsoft security technologies with hands on experience in delivering two or more of the following Microsoft security solutions:
  </li>
  <li>
   Microsoft Defender (Defender for Cloud, Defender XDR, Defender for Cloud Apps)
  </li>
  <li>
   Microsoft Sentinel
  </li>
  <li>
   Microsoft Entra (identity, Conditional Access, lifecycle governance)
  </li>
  <li>
   Microsoft Purview (data security, compliance, governance)
  </li>
  <li>
   Demonstrated experience securing AI‑powered workloads, including:
  </li>
  <li>
   Identity, access control, and least‑privilege enforcement
  </li>
  <li>
   Data protection and information governance
  </li>
  <li>
   Threat detection, posture management, and incident response for AI systems
  </li>
  <li>
   Hands‑on understanding of agentic architectures, including:
  </li>
  <li>
   AI agents, copilots, or autonomous systems
  </li>
  <li>
   Agent identity, lifecycle, and access management concepts
  </li>
  <li>
   Observability, logging, and behavioural monitoring for autonomous systems
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with Microsoft Copilot Studio, Azure AI Foundry, or custom AI/agent frameworks secured on Azure or Microsoft 365 platforms
  </li>
  <li>
   Familiarity with AI security architecture patterns, including:
  </li>
  <li>
   Secure model access and isolation
  </li>
  <li>
   Guardrails, policy enforcement, and content safety
  </li>
  <li>
   AI workload discovery and posture management
  </li>
  <li>
   Knowledge of Zero Trust principles applied to AI and agent‑based systems, including identity‑centric security and continuous verification
  </li>
  <li>
   Experience integrating security into CI/CD or platform engineering workflows for AI or automation solutions
  </li>
  <li>
   Microsoft certifications such as:
  </li>
  <li>
   SC‑100: Cybersecurity Architect
  </li>
  <li>
   SC-200: Security Operations Analyst Associate
  </li>
  <li>
   SC-300: Identity and Access Administrator Associate
  </li>
  <li>
   AI-900: Microsoft Azure AI Fundamentals
  </li>
  <li>
   AZ-500: Azure Security Engineer Associate
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Core Skills &amp; Attributes
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Strong hands‑on engineering mindset with architectural thinking
  </li>
  <li>
   Ability to reason about risk, trust boundaries, and blast radius in autonomous systems
  </li>
  <li>
   Comfortable working across security, AI, and platform teams
  </li>
  <li>
   Clear communicator who can explain complex AI security concepts to both technical and non‑technical stakeholders
  </li>
  <li>
   Curiosity and adaptability in a rapidly evolving AI and agentic ecosystem
  </li>
  <li>
   Ability to translate security requirements into practical, deployable solutions and work closely with developers, architects, and security teams
  </li>
  <li>
   Ability to engage with CISOs, security architects, and IT leadership
  </li>
  <li>
   Proven customer‑facing delivery experience
  </li>
  <li>
   The technical aptitude and experience to learn new cloud security technologies and understand relevant cloud security market trends.
   <br/>
   <br/>
  </li>
 </ul>
 This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
 <br/>
 <br/>
 Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about
 <strong>
  requesting accommodations.
 </strong>
</div>


Xebia

<div>
 <p>
  We are seeking a
  <strong>
   Databricks Architect
  </strong>
  with deep expertise in
  <strong>
   Azure Data Platform, Data Modelling, and Medallion (Lakehouse) Architecture
  </strong>
  . The ideal candidate will design and implement scalable, high-performance data solutions using
  <strong>
   Databricks, Delta Lake, and modern data engineering practices
  </strong>
  , enabling enterprise-wide analytics and business intelligence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Abu Dhabi
 </p>
 <p>
  <strong>
   Experience:
  </strong>
  10&ndash;15+ Years
 </p>
 <p>
  <strong>
   Email
  </strong>
  : vijay.kajla@xebia.com
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <strong>
   Medallion Architecture &amp; Lakehouse Design
  </strong>
 </p>
 <ul>
  <li>
   Design and implement
   <strong>
    Medallion Architecture (Bronze, Silver, Gold layers)
   </strong>
   on
   <strong>
    Azure Databricks
   </strong>
  </li>
  <li>
   Define data flow standards across ingestion, cleansing, transformation, and consumption layers
  </li>
  <li>
   Ensure
   <strong>
    data quality, lineage, and governance
   </strong>
   across all layers
  </li>
  <li>
   Optimize storage and compute using
   <strong>
    Delta Lake features (ACID transactions, time travel, schema evolution)
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Architecture &amp; Strategy
  </strong>
 </p>
 <ul>
  <li>
   Architect
   <strong>
    end-to-end Azure data platforms
   </strong>
   using:
  </li>
  <li>
   Azure Databricks
  </li>
  <li>
   ADLS Gen2
  </li>
  <li>
   Azure Data Factory
  </li>
  <li>
   Azure Synapse
  </li>
  <li>
   Define
   <strong>
    data platform standards, best practices, and reusable frameworks
   </strong>
  </li>
  <li>
   Lead
   <strong>
    data modernization initiatives
   </strong>
   (on-prem to cloud, legacy to lakehouse)
  </li>
 </ul>
 <p>
  <strong>
   Data Engineering Leadership
  </strong>
 </p>
 <ul>
  <li>
   Build scalable pipelines using
   <strong>
    PySpark, Spark SQL, and Databricks workflows
   </strong>
  </li>
  <li>
   Implement
   <strong>
    batch + real-time ingestion patterns
   </strong>
  </li>
  <li>
   Drive
   <strong>
    performance tuning and cost optimization
   </strong>
  </li>
  <li>
   Mentor teams on
   <strong>
    Spark optimization, partitioning, and job orchestration
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Data Modelling
  </strong>
 </p>
 <ul>
  <li>
   Design
   <strong>
    enterprise-grade data models
   </strong>
   :
  </li>
  <li>
   Dimensional (Star/Snowflake)
  </li>
  <li>
   Normalized and Data Vault (nice to have)
  </li>
  <li>
   Align data models with
   <strong>
    Gold layer consumption use-cases (BI/Reporting)
   </strong>
  </li>
  <li>
   Translate business needs into
   <strong>
    scalable analytical datasets
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Integration &amp; Consumption
  </strong>
 </p>
 <ul>
  <li>
   Build ingestion pipelines using:
  </li>
  <li>
   <strong>
    ADF, Event Hub, Kafka, APIs
   </strong>
  </li>
  <li>
   Enable reporting via:
  </li>
  <li>
   <strong>
    Power BI, Tableau, or similar BI tools
   </strong>
  </li>
  <li>
   Ensure seamless consumption from
   <strong>
    Gold datasets
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Stakeholder Engagement
  </strong>
 </p>
 <ul>
  <li>
   Act as a
   <strong>
    data architecture SME
   </strong>
   in client discussions
  </li>
  <li>
   Drive solutioning, architecture reviews, and governance forums
  </li>
  <li>
   Collaborate with business teams for
   <strong>
    data-driven decision making
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Required Skills
  </strong>
 </p>
 <p>
  <strong>
   Core
  </strong>
 </p>
 <ul>
  <li>
   Strong hands-on experience with
   <strong>
    Azure Databricks &amp; Delta Lake
   </strong>
  </li>
  <li>
   Proven expertise in
   <strong>
    Medallion Architecture implementation
   </strong>
  </li>
  <li>
   Advanced
   <strong>
    PySpark and Spark SQL
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    ADF, ADLS Gen2, Synapse
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Data Modelling
  </strong>
 </p>
 <ul>
  <li>
   Strong experience in:
  </li>
  <li>
   <strong>
    Dimensional modelling (must-have)
   </strong>
  </li>
  <li>
   Data modelling aligned to
   <strong>
    Gold layer analytics
   </strong>
  </li>
  <li>
   Understanding of
   <strong>
    data quality and governance frameworks
   </strong>
  </li>
 </ul>
 <p>
  <strong>
   Nice-to-Have
  </strong>
 </p>
 <ul>
  <li>
   Real-time processing (
   <strong>
    Kafka / Spark Streaming
   </strong>
   )
  </li>
  <li>
   Azure Purview or data governance tools
  </li>
  <li>
   ML pipelines on Databricks
  </li>
  <li>
   Domain: Airlines / BFSI / Retail
  </li>
 </ul>
 <p>
  <strong>
   Leadership Skills
  </strong>
 </p>
 <ul>
  <li>
   Strong architectural thinking
  </li>
  <li>
   Client-facing experience
  </li>
  <li>
   Ability to lead and scale engineering teams
  </li>
  <li>
   Excellent communication and stakeholder management
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are an Equal Opportunity Employer committed to fostering a diverse, inclusive, and respectful workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We believe diversity drives innovation and success, and we welcome individuals from all backgrounds to join our team.
 </p>
</div>


Data Architect

ENEC Operations

<div>
 <p>
  The Data and AI Engineering Expert is a senior hands-on technical authority responsible for the design, development, and operationalization of enterprise data and AI platforms across ENEC. This role leads the engineering delivery of scalable, secure, and compliant data pipelines, AI/ML solutions, and analytics platforms leveraging technologies such as Databricks (Delta Lake, Unity Catalog, MLflow, Delta Live Tables), Microsoft Azure (Azure Data Factory, Azure ML, Microsoft Fabric, Azure AI Foundry, Copilot Studio), Collibra (Data Governance &amp; Data Quality), Power BI, and OT/industrial data systems including PI System, SCADA, and DCS.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The Expert applies deep engineering expertise to architect and deliver production-grade solutions, ensures data governance and quality standards are upheld, and drives the adoption of AI and analytics capabilities that directly support ENEC's mission of safe, innovative, and efficient nuclear energy generation. This role acts as a principal technical contributor and mentor, enabling operational excellence and digital transformation at scale.
 </p>
 <p>
  Activity: Data Engineering Architecture &amp; Platform Development
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Design, build, and maintain scalable, secure, and high-performance data platforms including Lakehouse architectures using Databricks Delta Lake, Unity Catalog, and Delta Live Tables (DLT).
 </p>
 <p>
  &bull; Develop and operationalize robust data pipelines, ETL/ELT workflows, and integration frameworks using Azure Data Factory, Databricks Workflows, and related orchestration tools.
 </p>
 <p>
  &bull; Architect and implement data models, semantic layers, and data products that serve enterprise analytics, AI, and reporting needs.
 </p>
 <p>
  &bull; Ensure seamless integration of OT and industrial data sources &mdash; including PI System, SCADA, and DCS &mdash; into enterprise data platforms.
 </p>
 <p>
  &bull; Design and implement APIs, data contracts, and integration frameworks to enable enterprise-wide data consumption.
 </p>
 <p>
  &bull; Ensure platform scalability, resilience, high availability, and disaster recovery capabilities in compliance with nuclear and regulatory requirements.
 </p>
 <p>
  &bull; Apply and enforce data standards, naming conventions, and metadata management practices across all data assets using Collibra and Unity Catalog.
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Design, develop, and deploy production-grade machine learning, deep learning, and generative AI models using Azure ML, MLflow, and Databricks ML.
 </p>
 <p>
  &bull; Engineer end-to-end MLOps pipelines covering model training, versioning, validation, deployment, monitoring, and retraining &mdash; ensuring reliability and reproducibility.
 </p>
 <p>
  &bull; Build and operationalize AI-powered solutions including predictive analytics, anomaly detection, natural language processing (NLP), and GenAI/LLM-based applications using Azure AI Foundry and Copilot Studio.
 </p>
 <p>
  &bull; Develop BI and semantic models in Microsoft Fabric and Power BI, enabling self-service analytics and executive reporting across the organization.
 </p>
 <p>
  &bull; Apply Responsible AI principles and governance frameworks to all AI and ML solutions, ensuring explainability, fairness, and compliance.
 </p>
 <p>
  &bull; Conduct rigorous model evaluation, performance benchmarking, and validation to ensure solutions meet accuracy, reliability, and safety standards.
 </p>
 <p>
  &bull; Contribute to the continuous improvement of AI engineering standards, patterns, and reusable components across the enterprise.
 </p>
 <p>
  Activity: Advanced Subject Matter Knowledge
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Demonstrates deep, hands-on expertise in enterprise data engineering, AI/ML platform development, and cloud-native architectures within highly regulated environments.
 </p>
 <p>
  &bull; Maintains current knowledge of global trends in data engineering, MLOps, GenAI, cloud technologies (Azure, hybrid, on-premise), and nuclear industry compliance requirements.
 </p>
 <p>
  &bull; Understands the full lifecycle of data and AI platforms including design, development, testing, deployment, monitoring, and decommissioning.
 </p>
 <p>
  &bull; Applies comprehensive knowledge of data governance frameworks (Collibra, Unity Catalog), master data management, data quality, and lineage management.
 </p>
 <p>
  &bull; Possesses strong awareness of OT/IT convergence, industrial data systems (PI System, SCADA, DCS), and their integration into enterprise analytics environments.
 </p>
 <p>
  &bull; Maintains expert-level proficiency in programming languages and frameworks including Python, SQL, Spark, and relevant AI/ML libraries.
 </p>
 <p>
  Activity: Complex Problem Solving &amp; Innovation
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Tackles complex, ambiguous engineering challenges in data platform architecture, AI model development, and system integration &mdash; delivering innovative, compliant, and production-ready solutions.
 </p>
 <p>
  &bull; Leads root cause analysis and corrective/preventive actions for platform incidents, data quality failures, model degradation, and system disruptions.
 </p>
 <p>
  &bull; Develops and implements robust engineering solutions to address performance bottlenecks, scalability constraints, and integration challenges.
 </p>
 <p>
  &bull; Navigates conflicting technical requirements, evolving regulatory standards, and stakeholder needs to deliver optimal engineering outcomes.
 </p>
 <p>
  &bull; Drives continuous improvement by benchmarking against global engineering best practices, evaluating emerging technologies, and implementing lessons learned.
 </p>
 <p>
  &bull; Leads proof-of-concept and pilot initiatives to evaluate new data and AI technologies and engineering approaches
 </p>
 <p>
  <br/>
 </p>
 <p>
  Activity: Applied Skills &amp; Professional Know-How
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Expertly engineers, deploys, and operates scalable, secure, and compliant data and AI platforms across Databricks, Azure, and OT environments.
 </p>
 <p>
  &bull; Applies hands-on proficiency in building data pipelines, ML models, GenAI solutions, BI semantic models, and governance frameworks in production environments.
 </p>
 <p>
  &bull; Mentors and develops junior and mid-level data engineers, data scientists, and analytics engineers &mdash; building future-ready technical capabilities.
 </p>
 <p>
  &bull; Leads technical design reviews, code reviews, and architecture assessments to uphold engineering quality and best practices.
 </p>
 <p>
  &bull; Effectively translates complex technical concepts into clear, actionable insights for both technical and non-technical stakeholders.
 </p>
 <p>
  &bull; Documents solutions, engineering patterns, and technical standards to build institutional knowledge and enable knowledge transfer.
 </p>
 <p>
  Activity: Security, Governance &amp; Compliance
 </p>
 <p>
  <br/>
 </p>
 <p>
  Responsibilities and Accountabilities:
 </p>
 <p>
  &bull; Design and enforce data security, access control, and privacy frameworks across all data and AI platforms using Unity Catalog, Collibra, and Azure security controls.
 </p>
 <p>
  &bull; Ensure all data engineering and AI solutions comply with national and international nuclear regulations, FANR requirements, and Responsible AI principles.
 </p>
 <p>
  &bull; Maintain comprehensive data lineage, audit trails, and documentation to support regulatory, audit, and governance requirements.
 </p>
 <p>
  &bull; Implement and enforce data quality frameworks and data governance policies using Collibra Data Quality and Unity Catalog.
 </p>
 <p>
  &bull; Conduct regular platform security assessments, data quality audits, and compliance reviews.
 </p>
 <p>
  &bull; Oversee risk management, audit readiness, and the implementation of robust technical controls for all platform operations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Minimum
  </strong>
 </p>
 <p>
  &bull; Bachelor&rsquo;s degree in computer science, Information Technology, Data Management, Engineering, or related discipline.
 </p>
 <p>
  &bull; Minimum 12+ years' hands-on experience in enterprise data engineering, AI/ML platform development, and cloud-native architectures, including production deployment and operations.
 </p>
 <p>
  &bull; Experience embedding governance within modern data platforms (preferably Databricks) and integrating SAP/Oracle ERP domains.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &bull; Master&rsquo;s degree in a relevant field.
 </p>
 <p>
  &bull; Experience in energy, utilities, nuclear, financial services, government, or other highly regulated sectors.
 </p>
 <p>
  &bull; Demonstrated AI governance experience (provenance, bias monitoring, model data requirements) in data bricks or similar AI/analytics platforms exposure.
 </p>
 <p>
  &bull; Demonstrated experience leading large-scale data and AI engineering programs
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Certification -
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Multiple cloud and AI certifications. Microsoft Fabric, Azure AI Foundry, or Databricks Unity Catalog specialty certifications. Industry publications or contributions in data engineering or AI.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Relevant certifications in one or more of: Databricks (Data Engineer Associate/Professional, ML Professional), Microsoft Azure (Data Engineer, AI Engineer, Solutions Architect), MLOps, or Data Governance (Collibra).
 </p>
</div>


Data and AI Engineering Expert

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