Solution Engineering (Data & Sovereign Cloud) Job at Microsoft Corporation (Issy Les Moulineaux)

Sr Cloud Solution Architect - Cloud & AI Data

Join Microsoft’s US Public Sector Industries DIB Team—where mission meets innova...

Location

United States , St. Louis

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field AND 4+ years of experience in cloud/infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, technology solutions, architecture, or consulting OR equivalent experience
Active U.S. Government Top Secret Security Clearance
U.S. citizenship
Ability to pass Microsoft Cloud background check
Technical expertise in Azure Data Services, Synapse, Postgres, SQL, Databricks, Fabric, and Purview
Proficiency in Azure Kubernetes Service (AKS) and Azure API Management (APIM)
Exposure to DevSecOps principles and practices
Familiarity with DIB mission priorities, including compliance frameworks such as FedRAMP High, ITAR, and DFARS
Experience delivering data platform solutions in regulated or classified environments, including Azure Government, GCC High, and sovereign cloud deployments
Strong understanding of Zero Trust architecture, agentic DevOps, and secure-by-design principles for disconnected and mission-critical environments

Job Responsibility

Leading the modernization of customer data estates using Microsoft’s cloud-native services by designing and deploying secure, scalable architectures with Azure Data Services, Synapse, Fabric, and Purview
Aligning data platform strategies to mission outcomes, especially in regulated and classified environments
Supporting both commercial defense contractors and federal agencies through tailored data solutions, integrating Zero Trust principles, data governance, and compliance frameworks (e.g., ITAR, CMMC, FedRAMP)
Ensure data security across GCC, GCCH, and sovereign cloud environments and collaborate with security CSAs to deliver Purview, Information Protection, and Insider Risk Management capabilities
Proficient in usage of Azure Application services, including Azure AI Gateway, Azure AI Foundry, Azure Kubernetes Service (AKS), and GitHub Copilot
Support Azure Commercial, Government, Secret, and Top Secret and FedRAMP High environments with deep technical guidance on compliance, resiliency, and Zero Trust architectures

Fulltime

Cloud Solution Architecture - Cloud & AI Infrastructure

We are looking for a Technical Program Manager (TPM) who is passionate about dri...

Location

United Arab Emirates , Multiple Locations

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND at least 10+ years of experience in cloud/infrastructure technologies, information technology (IT) consulting, software development/support, technology solutions, practice development, architecture, and/or consulting. OR equivalent experience.
Strong customer presence & communication skills.
Fluency in English.
Previous experience working in a customer-facing role.

Job Responsibility

Drive technical and thought leadership across Solution Areas with demonstrated mastery of Infra, AI Apps, Data and AI and Security.
Is the trusted technical advisor to the CS Leader
Drives Microsoft Sovereign Cloud solutions along with Azure Confidential Compute.
Drives resiliency motions at scale.
Engages at Senior / Executive (e.g. CTO, CIO) level with large enterprise customers/customer clusters in strategic subsidiaries to help define their transformative cloud and AI strategy
Accountable for driving consumption across multiple solution areas and strategic customers.
Vocal leader and customer champion in Area to elevate customer patterns, adoption issues and accelerate resolution with corp and product teams.
Quality assurance of architecture solutions E2E, gate keeper for architecture design with key customers to ensure resiliency and alignment with best practices.
Acts as a technical spokesperson across internal and external communities.
Engages actively in mentoring the technical community.

Fulltime

Product Marketing Manager - Sovereign Cloud

Microsoft Azure is a rapidly growing global cloud platform where trust, security...

Location

United States , Redmond

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Master's Degree in Marketing, Computer Science, Business or related field AND 3+ years experience in product marketing, technical marketing, partner marketing, or technical sales for cloud, AI, security, or infrastructure products, including end-to-end launches and go-to-market execution
OR Bachelor's Degree in Marketing, Computer Science, Business or related field AND 5+ years experience in product marketing, technical marketing, partner marketing, or technical sales for cloud, AI, security, or infrastructure products, including end-to-end launches and go-to-market execution
OR equivalent experience.

Job Responsibility

Drive insights and cross-Microsoft narrative development of a differentiated and customer-centric Microsoft Sovereign Cloud initiative
Partner closely with engineering, business development, and partner teams to shape roadmap priorities and go-to-market strategy for Sovereign AI solutions across public cloud, private cloud, and hybrid environments, grounded in customer, regulatory, and national requirements
Define the end-to-end customer journey for Sovereign AI solutions across web, events, blogs, social, and other digital properties
Define differentiated positioning and messaging for Sovereign AI solutions that help customers adopt advanced AI while maintaining control over data, infrastructure, operations, models, and compliance
Develop customer evidence and technical proof points, including solution narratives, reference architectures, competitive insights, partner value propositions, and regulatory-aligned messaging that can scale globally while remaining locally relevant
Play a critical role in product launches and announcements, ensuring a consistent and scalable campaign landing model that balances big moments with sustained presence across channels
Enable field and partner teams with launch materials, training, sales plays, and repeatable go-to-market assets that support customer conversations across sovereign cloud, AI innovation, and regulated industry requirements
Translate customer and market insight into product and business recommendations, helping influence solution strategy, partner priorities, and long-term category development for Sovereign cloud.

Fulltime

Senior Cloud Solution Architect - Apps

Join Microsoft’s US Public Sector Industries DIB Team—where mission meets innova...

Location

United States , St. Louis

Salary:

106400.00 - 203600.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or a related field AND 4+ years of experience in cloud or infrastructure technologies, IT consulting or support, systems administration, network operations, software development or support, technology solutions, architecture, or consulting OR equivalent experience
Active U.S. Government Top Secret Security Clearance
U.S. citizenship
Ability to work on site in St. Louis, MO
Deep understanding of Azure Application services, including Azure AI Gateway, Azure AI Foundry, Azure Kubernetes Service (AKS), and GitHub Copilot
Support Azure Government, Secret, and Top Secret and FedRAMP High environments with deep technical guidance on compliance, resiliency, and Zero Trust architectures
Understanding of FedRAMP, ITAR, DFARS, and Zero Trust architectures for Azure Gov and Secret environments
Knowledge in Azure secure enclaves and MS-ISR, specifically application and data architecture, RMF/ATO awareness, IL6 aligned data and application patterns, and secure data movement (batch ingestion, controlled transfer models)
App Platform Expertise: Proficiency in Azure App modernization, Logic Apps, containerization patterns, API-based integration, DevSecOps pipelines, CI/CD under disconnected or semi-connected conditions, and integration with M365 workloads
Demonstrated technical depth in Azure application services, including Azure Functions, Logic Apps, Power Platform, and AI integration

Job Responsibility

Architect and deliver agentic AI applications and secure DevOps pipelines tailored to DIB mission platforms, systems integrators, and digital-native defense startups
Lead technical engagements that accelerate secure, AI-powered transformation across mission-critical Defense workloads in an Air-gapped Cloud environment
Collaborate with engineering, delivery, and account teams to modernize platforms and applications in enclave-based deployments and drive innovation aligned to national security priorities
Translate mission workloads (Apps & Data) into deployable architectures, supporting secure data platforms, app hosting patterns, and DevSecOps pipelines
Deliver deep technical expertise in Azure application modernization and agentic AI, drive usage excellence across mission workloads, and accelerate adoption of Microsoft’s cloud and AI platforms within classified, sovereign, and disconnected environments

Fulltime

Sovereign Cloud Flex Architect

This role is for a Sovereign Cloud Architect on the PubSec Architecture team to ...

Location

United States

Salary:

204000.00 - 281000.00 USD / Year

Wiz

Expiration Date

Until further notice

Requirements

4+ years of experience architecting in Cloud with regulations around data sovereignty and data residency (FedRAMP), in a role such as a Security or Cloud Architect
Preferred experience in AWS (GCP and Azure a plus)
Expertise architecting solutions using cloud native services, while following cloud security best practices
Experience working with technologies like Microservices, Containers, Kubernetes, IaC, Configuration Management, APIs, CI/CD
A strong sense of taking ownership for projects and leading them from start to finish
Excellent skills around handling administrative activities, time management and prioritization of tasks
Ability to translate compliance requirements to technical outcomes
Ability to think outside the box when working with compliance frameworks by implementing technical solutions that meet the spirit of controls, vs. the written guidance
Knowledge of and ability to evaluate controls and requirements against frameworks like NIST 800-53, a plus if you’re familiar with EU privacy regulations
A thirst to use Wiz and learn everything the product can do

Job Responsibility

Help design Wiz deployments based specific Sovereign Cloud requirements depending on the market we are in
Work with our GRC/Compliance team members to translate security controls or requirements, based on a provided framework into applicable technical solutions
Work cross functional with Engineering and DevOps teams to consult and guide on implementation of framework requirements
Ownership and crafting of detailed diagrams using tools like LucidChart, Visio, etc
Perform architecture reviews and provide architecture requirements to help bring new features to Wiz regulated environments
Help test and validate new features to see their value for customer’s as well as help Wiz meet its own security and compliance goals
Automation of internal processes that lend themselves to meeting security controls or requirements based on a provided framework
Stay up to date with the latest guidelines (FedRAMP, DISA, NIST, EU) to ensure that systems and processes adhere to these standards, addressing any compliance issues promptly

What we offer

Medical, dental and vision insurance
Home Office Setup reimbursement
Flexible Spending Accounts
Monthly Connectivity reimbursement
Employee Assistance Program (EAP)
Short- and Long-term Disability Insurance
Life & Accident Insurance
401(k) Retirement Savings Plan (with employer match)
Flexible paid time off + 11 paid holidays
Paid leave programs, including parental, pregnancy health, medical and bereavement leave

Fulltime

Senior Azure ACE Engineer - Sovereign Cloud

As a customer focused Advanced Cloud Engineer, you are the primary engineering c...

Location

Ireland , Dublin

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND relevant experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience.
Demonstrated experience supporting and troubleshooting enterprise level, mission-critical applications and infrastructure resolving complex issues/situations and driving technical resolution across cross-functional organizations.
Familiarity with operating in regulated or restricted‑access environments, such as sovereign cloud, high‑security, or compliance‑driven workloads is an advantage.
Experience with being on-call and driving mitigation for mission critical incidents.
Demonstrated hands-on experience with expertise in one or more of the following Cloud technologies: Core IaaS: Compute (Windows/Linux), Storage, Networking, Kubernetes, High Availability
Data Platform and Bigdata: Azure SQL DB, Cosmos DB, PostgreSQL on Azure, Azure Data Bricks, Azure Data Factory, AI/ML
Azure PaaS Services: App Services, Azure Functions, Redis Cache, and Event Hub.
Monitoring technologies: Azure Monitor, Log Analytics, Grafana, Datadog, Confluent and similar technologies.
Communication skills: ability to empathize with customers and convey confidence. Able to explain highly technical issues to varied audiences. Able to prioritize and advocate customer’s needs to the proper channels. Take ownership and work towards a resolution.
Customer Obsession: Passion for customers and focus on delivering the right customer experience.

Job Responsibility

With minimal oversight, track customer incidents, engage with strategic customers and partners to understand issues, contribute to troubleshooting through diagnostics, communicate progress and next steps to customers with a focus on reducing time taken to mitigate critical incidents.
Use engineering and support tools, customer telemetry and/or direct customer input to detect and flag issues in the products or with the customer usage of the products.
Help customers stay current with best practices by sharing content.
Identify and leverage developmental opportunities across product areas and business processes (e.g., mentorships, shadowing, trainings) for professional growth and to develop technical skills to resolve customer issues.
With minimal guidance, serve as a connecting point between the product team and customers throughout the engagement life cycle, engage with customers to understand their business and availability needs, develop and offer proactive guidance on designing configurations and deploying solutions on Azure with support from subject matter experts.
Handle critical escalations on customer issues from the customer or support or field teams, conduct impact analysis, help customers with answers to their technical questions, and serve as an escalation resource in areas of subject matter expertise.
Conduct in-depth root cause analysis of issues and translates findings into opportunities for improvement and track and drive them as repair items.
Act as the voice of customers and channel product feedback from strategic customers to product groups. Identify customer usage patterns and drive resolutions on reoccurring issues with product groups. Close the feedback loop with the customers on product features.
With minimal guidance, partner with other teams (e.g., program managers, software engineers, product, customer service support teams), prioritize, unblock, and resolve critical customer issues.
Collaborate with stakeholders to support delivery of solutions to strategic customers and resolving customer issues.

Fulltime

New

Principal Technical Program Manager, Sovereign & Regulated Cloud

Security is a top priority for organizations navigating an increasingly complex ...

Location

United States , Redmond

Salary:

165600.00 - 296400.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree AND 8+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience
6+ years of experience managing cross-functional and/or cross-team projects
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter

Job Responsibility

Lead the development of a unified sovereignty strategy across Microsoft Security services, including data residency, isolation models, and cross-service data flows
Drive alignment across engineering teams to ensure consistent approaches to sovereignty and regulated cloud readiness
Deliver complex, cross-organizational programs supporting EU Sovereign Cloud and government cloud scenarios
Develop scalable architectures, deployment patterns, and onboarding frameworks for regulated environments
Identify and resolve cross-service dependencies, inconsistencies, and system-level challenges
Partner with Azure, compliance, and senior engineering leaders to influence Microsoft’s broader sovereignty and regulated cloud strategy
Establish repeatable models that enable services to scale efficiently across sovereign and regulated regions
Provide clarity and direction in ambiguous environments, balancing technical constraints with evolving regulatory requirements
Advocate for inclusive, accessible solutions that support a diverse global customer base

Fulltime

Senior Principal AI Infrastructure Architect

The Senior Principal AI Infrastructure Architect is a highly skilled and advance...

Location

Italy , Milano

Salary:

Not provided

NTT DATA

Expiration Date

Until further notice

Requirements

Significant experience in a consulting, presales or architecture role within a large-scale (preferably multi-national) technology services environment, with a track record of leading AI infrastructure pursuits
Demonstrable experience designing and delivering production AI platforms — from single multi-GPU servers through to multi-rack training clusters and inference factories
Strong working knowledge of the AI hardware vendor landscape (NVIDIA, AMD, Intel, Dell, HPE, Lenovo, Supermicro, Cisco, Pure, VAST, WEKA, DDN, NetApp) and how to position partner ecosystems competitively
Proven ability to translate AI workload requirements (model size, parameter count, sequence length, throughput SLOs, latency targets) into accurate hardware bills of materials and sizing justifications
Significant client engagement and consulting experience, including client needs assessment, change management and the ability to identify whitespace for follow-on AI infrastructure and managed-services work
Significant business development and presales experience on infrastructure-led deals, ideally including sovereign AI, AI Factory or regulated-industry GenAI programmes
Strong understanding of how AI infrastructure integrates with business processes, applications, data platforms and existing enterprise architecture
Bachelor's degree or equivalent in Information Technology, Engineering, Computer Science or a related field
Deep, hands-on knowledge of AI hardware: GPU and accelerator portfolios (NVIDIA Hopper / Blackwell, AMD MI300/MI325, Intel Gaudi 3, emerging custom silicon), host CPU platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), system topologies (HGX, DGX, MGX, OAM) and how each choice maps to specific AI workloads
Strong understanding of AI-class storage: parallel filesystems, all-flash NVMe platforms, S3-class object stores, checkpoint and dataset pipelines and the I/O patterns of large-scale training and inference (VAST, WEKA, DDN EXAScaler, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)

Job Responsibility

Lead the end-to-end design of large, complex AI infrastructure solutions — covering accelerated compute (NVIDIA H100/H200/B200 and GB200 NVL72, AMD Instinct MI300X/MI325X, Intel Gaudi 3), CPU host platforms (Intel Xeon, AMD EPYC, NVIDIA Grace), high-throughput storage tiers and lossless AI fabric — for enterprise, sovereign AI and AI Factory clients
Architect reference designs built on NVIDIA DGX/HGX SuperPOD, Dell AI Factory with NVIDIA, Cisco Nexus HyperFabric AI, HPE / Lenovo / Supermicro accelerated compute and equivalent platforms, balancing single-node performance with cluster-scale efficiency
Size and validate GPU clusters against real workloads — foundation-model pre-training, distributed fine-tuning, RAG, real-time and batch inference — using the right combination of NVLink/NVSwitch domains, InfiniBand NDR/XDR or Ultra Ethernet / NVIDIA Spectrum-X fabrics and tiered NVMe and parallel storage (VAST, WEKA, DDN, Pure FlashBlade, NetApp ONTAP AI, Dell PowerScale)
Define the supporting datacenter design: high-density power (50–140 kW/rack), direct-to-chip and rear-door liquid cooling, structured cabling for AI fabrics and modular deployment models across on-prem, colo and sovereign-cloud footprints
Work closely with the sales team to drive the presales process for AI infrastructure pursuits — client discovery, technical workshops, proposal writing, executive presentations and bid defence
Translate clients' AI ambitions and business outcomes into a hardware and platform roadmap, positioning NTT DATA's end-to-end portfolio — silicon, systems, storage, fabric, MLOps stack and managed services — to land service-led AI solutions
Lead integration of compute, storage, networking, the AI software stack (CUDA, ROCm, Triton, NIM, NVIDIA AI Enterprise, Run:ai, Slurm, Kubernetes / Kubeflow) and managed-service operating models across multiple domains, delivery units and geographies
Build business cases, TCO and unit-economics models (cost per token, cost per training run, GPU-hour economics) and end-to-end transition roadmaps for cloud-to-private AI migrations and sovereign AI deployments
Define architectural principles for AI infrastructure — accelerator utilisation, data gravity, multi-tenancy, model lifecycle, energy efficiency — and apply them to influence architectural outcomes and governance
Develop As-Is, Vision, FMO and To-Be AI platform architectures, identify gaps and develop transition roadmaps

Fulltime

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Solution Engineering (Data & Sovereign Cloud)

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