Azure Lead Technical Architect
HSO Nederland B.V. · United Kingdom
- Location
- United Kingdom
- Work location
- Hybrid
- Employment
- Full-time
- Posted
- Today
About the job
Azure Lead Technical Architect
Skopje, MK
Cloud & Infrastructure
Full-Time
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Role introduction
Role Overview
HSO is seeking an experienced technical leader to shape and evolve its Monitoring & Observability service across Dynamics 365, Power Platform, AI agents, Azure, and hybrid environments. Working closely with the Service Owner and monitoring development team, this role will set technical direction, translate strategy into scalable service design, and improve onboarding, automation, reliability, and cost efficiency.
The role combines architecture, platform strategy, operational improvement, technical mentoring, and clear communication. A key priority is building a differentiated observability offering for Microsoft business applications, not only infrastructure monitoring.
Key Responsibilities
- Partner with the Service Owner to define the technical strategy and roadmap, including priorities, risks, dependencies, investment options, and practical recommendations.
- Act as the senior technical authority for the service, setting architecture, engineering, observability, alerting, dashboard, telemetry, and service-health standards.
- Lead the evolution of monitoring capabilities across Dynamics 365, Power Platform, AI agents (Copilot Studio + Microsoft Foundry, Azure Monitor, and hybrid environments, with business applications as the primary focus.
- Improve how the service is developed, onboarded, changed, and operated by removing bottlenecks, manual effort, and unnecessary dependencies.
- Drive automation, reusable components, standardized patterns, infrastructure as code, self-service, self-healing, and efficient DevOps practices.
- Identify service cost drivers with the Service Owner and prioritize improvements that increase scalability and reduce cost without compromising quality, security, reliability, or client outcomes.
- Assess Microsoft and third-party technologies based on client value, implementation effort, operational impact, and total cost of ownership.
- Partner with domain specialists to turn critical processes, failure modes, meaningful signals, and client impacts into monitoring and observability service designs.
- Provide technical leadership, mentoring, architecture review, training and escalation guidance, while partnering with engineering and service delivery rather than acting as the primary responder.
- Engage clients and internal stakeholders, translating technical options, constraints, and service insights into clear business impact and roadmap recommendations.
Expected Outcomes
- Faster, more predictable customer onboarding and implementation of changes.
- Lower manual effort and delivery cost through automation, standardization, reuse, and improved engineering practices.
- A scalable, maintainable, and market-leading observability offering for Dynamics 365, Power Platform, AI agents, and the wider Microsoft platform.
- A prioritized, evidence-based roadmap supported by measures for lead time, effort, automation, efficiency, service cost, reliability, and client value.
- Clear, business-focused service insights that help clients and service teams understand risk and prioritize improvements.
Required Skills & Experience
- Strong Azure architecture and engineering experience across enterprise-scale Azure and hybrid environments, including networking, security, governance, resilience, and operations.
- Hands-on experience with Azure Monitor, Log Analytics, Application Insights, Managed Prometheus, and Grafana.
- Experience designing and operating enterprise monitoring and observability solutions, including APM, distributed telemetry, service health, troubleshooting, and root-cause analysis.
- Automation experience using PowerShell, Azure Automation, Logic Apps, Azure Functions, GitHub Actions, Azure DevOps, infrastructure as code, or comparable technologies.
- Experience with Github Copilot and AI augmented delivery.
- Technical leadership in a managed services or similarly complex environment, including standards, reference architectures, operational patterns, and ITIL-based processes.
- Demonstrated success improving onboarding, implementation, development, deployment, maintainability, operational efficiency, and cost through automation and standardization.
- Experience evaluating tools and technologies against business value, delivery effort, operational impact, and total cost of ownership.
- Experience designing observability for business applications or SaaS platforms, ideally Dynamics 365, Power Platform, or a comparable enterprise application estate.
- Ability to work across unfamiliar domains, draw out critical processes and failure modes from specialists, and convert them into coherent service designs.
Communication & Leadership
- Explains complex technical concepts, options, risks, and trade-offs in clear, outcome-focused language for technical and non-technical audiences.
- Advises and constructively challenges stakeholders while building alignment and shared ownership of decisions.
- Influences effectively across engineering, service delivery, leadership, sales, and client teams.
- Demonstrates sound judgement, active listening, collaborative problem-solving, ownership, and transparent follow-through.
- Mentors technical teams and leads improvement discussions without undermining others’ expertise or ownership.
Desirable Experience
- Dynamics 365, Power Platform, or Microsoft Fabric
- SRE practices including SLIs, SLOs, error budgets, and reliability engineering
- Microsoft Sentinel, SIEM, integrations, APIs, GitHub Enterprise, or modern DevOps
- Agentic AI, Microsoft Foundry, Copilot Studio, or AI-led operations
- Third-party platforms such as Datadog, Dynatrace, New Relic, LogicMonitor, or SolarWinds
- Client-facing service design, consulting, presales, or roadmap discussions
Preferred Certifications
- Microsoft Certified:• Azure Administrator Associate (AZ-104)
- Azure Solutions Architect Expert (AZ-305)
- DevOps Engineer Expert (AZ-400)
- ITIL Foundation or higher
Apply now!
Fill out the form below, include your resume and we will get in touch with you shortly.
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Freelance/contract engagement, starting with an initial 2-month project
Fully remote within North Macedonia
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Experience administering and securing Azure and hybrid environments.
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#LI-MH1
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Exposure to both project delivery and managed services operations
Work with modern Microsoft technologies and architecture
Competitive Compensation & Bonus aligned with your experience and performance
Private Healthcare Insurance to support your well-being
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#LI-MH1#LI-Hybrid
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Azure Architecture & Platform Engineering
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Lead cloud migration programs across a range of scenarios: on-premises-to-Azure, cloud-to-cloud (e.g., AWS to Azure), and application modernization and refactoring efforts.
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Define security blueprints: Azure Policy, Defender for Cloud, Microsoft Sentinel, Defender XDR integrations, and Key Vault design.
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Design CI/CD pipelines in Azure DevOps and/or GitHub Actions: environment gates, drift detection, and pre-deployment compliance checks.
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Promoting the mission and shared values of the company
Sound interesting? If so, you’ll have…
8+ years of hands-on experience architecting and delivering Azure solutions across networking, compute, storage, identity, and security.
Proven experience leading Azure migration programs—on-premises, cloud-to-cloud, or application modernization—including assessment, wave planning, cutover, and stabilization.
Proven delivery of enterprise Azure Landing Zones: management group design, Azure Policy, RBAC frameworks, and platform automation.
Solid IaC experience in Terraform and/or Bicep with Azure DevOps or GitHub Actions CI/CD pipelines.
Strong Azure networking fundamentals: hub-and-spoke or Virtual WAN, Azure Firewall, Application Gateway/WAF, Private Link, and ExpressRoute/VPN.
Microsoft Entra ID experience: Conditional Access, PIM, hybrid identity, and Zero Trust concepts.
Familiarity with Azure security services: Defender for Cloud, Microsoft Sentinel, Key Vault, and compliance frameworks.
AVD experience: host pool design, FSLogix profiles, Scaling Plans, and monitoring.
Proficiency in PowerShell and Azure CLI; Python is a plus.
Strong analytical, problem-solving, and troubleshooting skills
Excellent written, verbal, and presentation skills
Strong client-facing skills, empathy, and the ability to guide clients through complex technical challenges
Ability to work independently, take ownership, and translate goals into actionable outcomes
Preferred qualifications include
Experience with tenant-to-tenant Microsoft 365 migrations: Exchange Online, SharePoint/OneDrive, Teams, and Entra ID coexistence and cutover.
Microsoft 365 platform: Intune, Exchange Online, SharePoint/OneDrive, Teams, and Purview.
Copilot readiness/governance, Copilot Studio development, and Microsoft Foundry experience.
AKS/Kubernetes and cloud data platform experience (SQL MI, Cosmos DB, Synapse Analytics, or Fabric).
Pre-sales and consulting delivery: scoping workshops, SOW authoring, and client relationship management.
Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Microsoft Certified: Azure Administrator Associate (AZ-104)
Microsoft Certified: Azure Security Engineer Associate (AZ-500) or Cybersecurity Architect Expert (SC-100)
Microsoft Certified: DevOps Engineer Expert (AZ-400)
Microsoft Certified: Azure Network Engineer Associate (AZ-700)
Microsoft 365 Certified (e.g., Enterprise Administrator Expert)
The Perks
We offer competitive pay and a comprehensive benefits package designed to support your health, flexibility, and long-term success. Benefits include generous paid time off, medical, dental and vision coverage, flexible spending accounts, a health reimbursement account, and a 401(k) plan with company match. You’ll also work alongside collaborative, driven teammates in a dynamic and growing professional services environment.
HSO is an Equal Opportunity Employer.
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IN Remote
Cloud & Infrastructure
HSO India | Lead D365 Integration Engineer (AIS) | 10+ Years
D365 Integration Engineer
Design and implement enterprise integration architectures that connect business applications, analytics platforms, and intelligent services across the Microsoft ecosystem
Build scalable integrations using Azure Integration Services including Azure API Management (APIM), Logic Apps, Azure Functions, Service Bus, Event Grid, and Event Hubs
Develop API-based, event-driven, and message-based architectures connecting ERP, CRM, Dataverse, analytics platforms, and external enterprise systems
Enable downstream analytics and AI workloads by delivering ingestion pipelines into Microsoft Fabric, Synapse, Azure Databricks, and Power BI semantic environments
Support integration patterns required for Copilot, Azure OpenAI, semantic search, and intelligent application scenarios
Integrate Microsoft Business Applications including Dynamics 365 and Dataverse with Azure data platforms and enterprise systems
Develop secure APIs and integration workflows leveraging OAuth2, Managed Identities, and APIM policies
Implement Infrastructure as Code (IaC) using Bicep and YAML to support consistent and repeatable deployments
Build and maintain CI/CD pipelines using Azure DevOps to support automated delivery across development, test, and production environments
Design resilient integrations with monitoring, alerting, retry logic, and observability frameworks to ensure production reliability
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IN Remote
Data & AI
HSO India | Senior Power BI Engineer with MS Fabric | 8+ Years
Power BI Engineer
Microsoft Fabric hands-on experience, including workspaces, capacities, OneLake, lakehouse and warehouse artifacts, and how a semantic model sits on top of them.
Power BI Desktop and the Power BI service to a production standard: model, report, publish, refresh, and share.
DAX including calculated measures, CALCULATE and filter context, time intelligence, and variables for readability.
Power Query and the M language for shaping, merging, and cleansing data at model load.
Star schema modeling: fact and dimension tables, relationship cardinality and direction, role-playing dimensions, and why flattened wide tables cause problems later.
SQL to a working level for profiling source data and validating report figures against the underlying tables.
Report and dashboard design fundamentals: appropriate visual selection, layout, consistent formatting, conditional formatting, bookmarks, and drillthrough.
Row-level security implementation and testing, including dynamic security driven by the signed-in user.
Report validation discipline: reconciling every published figure to a source of truth and documenting the check.
Preferred
Fabric semantic model storage modes, particularly Direct Lake, and the practical differences between Direct Lake, Import, and DirectQuery.
Refresh configuration and troubleshooting, covering scheduled refresh, incremental refresh, gateways, and credential management.
Tabular Editor, DAX Studio, and the Best Practice Analyzer for model development and performance work.
Fabric deployment pipelines, workspace app lifecycle, and Git integration for reports and semantic models.
Paginated reports in Power BI Report Builder for pixel-perfect and print output.
Microsoft certification PL-300, and DP-600 for Fabric analytics engineering.
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AU Sydney
Software Engineering & Development
ANZ Senior Machine Learning Engineer | Expression of Interest
Sydney | Full Time | Permanent | Hybrid
Are you an experienced Machine Learning Engineer who enjoys turning complex business challenges into reliable, production-ready AI solutions?
At HSO, we're interested in connecting with experienced Senior Machine Learning Engineers who would like to be considered for upcoming opportunities within our AI and Data practice across Australia and New Zealand. You’ll combine strong machine learning engineering capability with cloud architecture, consulting, and technical leadership to build solutions that are secure, maintainable, and designed to deliver measurable business value.
This is a hands-on senior role for someone who can lead projects end to end, communicate confidently with customers, and help grow the capability of the wider technical team.
We're building a talent pool of exceptional professionals who would like to be among the first people we contact when new opportunities become available.
Why HSO?
HSO is a leading global Microsoft partner, helping organisations transform through Microsoft business applications, cloud technologies, data, and AI solutions.
We’re proud to be
A Microsoft Solutions Partner
A Microsoft Managed Frontier Partner
Named Australia AI Partner of the Year by Tech Partner News
With more than 2,500 professionals globally and a strong presence across ANZ, Europe, North America, and Asia Pacific, HSO combines the capability of a global organisation with the agility of a high-growth business.
The Opportunity
As a Senior Machine Learning Engineer at HSO, you would work directly with customers to identify opportunities, shape solutions, and lead AI projects from initial discovery through to production support.
You’ll design and implement cloud-based machine learning and AI solutions, establish robust development and MLOps practices, and resolve complex technical or architectural challenges. You’ll also play an important leadership role by coaching technical colleagues, sharing knowledge, and helping HSO stay across emerging AI technologies and use cases.
This role is broader than model development. You’ll consider the complete solution, including data, cloud infrastructure, security, privacy, integration, deployment, and monitoring.
What You’ll Be Doing
Lead the design, development, testing, deployment, support, and maintenance of production AI and machine learning solutions.
Work directly with customers to understand business challenges, scope opportunities, and recommend practical technical approaches.
Lead AI projects end to end, working independently or guiding a multidisciplinary project team.
Design and apply appropriate AI, cloud, data, integration, and solution architecture patterns.
Build maintainable, well-tested solutions that use cloud technologies wherever appropriate.
Establish and improve machine learning development lifecycles using DevOps and MLOps practices.
Identify and resolve complex technical, architectural, security, and performance issues.
Provide technical support and identify opportunities to improve the reliability and maintainability of existing solutions.
Translate complex technical concepts and architectural decisions for non-technical stakeholders.
Facilitate customer workshops that support discovery, solution design, knowledge transfer, and the adoption of new technologies.
Produce clear technical documentation to support project delivery and ongoing operations.
Explore emerging technologies and evaluate how they can be applied to new customer and business challenges.
Coach and mentor technical colleagues, supporting their project delivery and professional development.
Contribute to technical standards, reusable patterns, best practices, and continuous improvement across HSO.
Proactively identify project risks and provide practical solutions and mitigations.
Design or implement supporting components outside machine learning where these are required for a complete solution.
Promote a positive, accountable, and customer-focused culture by demonstrating HSO’s values in everything you do.
What You’ll Bring
Ideally, at least five years of development experience delivering AI or machine learning solutions into production.
A degree in Information Technology, Computer Science, Data Science, Engineering, or a related field, or equivalent relevant experience.
Demonstrated experience designing and delivering secure, scalable, and maintainable AI solutions.
Broad experience with current cloud technologies, platforms, and services.
Strong understanding of machine learning development lifecycles and practical DevOps and MLOps experience.
Experience with source control, automated testing, deployment pipelines, monitoring, and production support.
Proven experience leading technical projects or project teams from discovery through to delivery.
The ability to explain complex technical architecture and solutions to non-technical audiences.
Strong customer-facing consulting, workshop facilitation, and stakeholder management skills.
Experience accurately scoping technical work, identifying dependencies, and providing recommendations.
Strong organisational and problem-solving skills, including the ability to balance deadlines and competing priorities.
Sound judgement regarding when technical, delivery, or customer issues need to be communicated or escalated.
Strong emotional intelligence and the ability to work effectively with customers and colleagues from a range of backgrounds.
An understanding of applicable privacy obligations and experience identifying and mitigating security risks.
A proactive approach to learning, experimentation, knowledge sharing, and continuous improvement.
A calm and professional approach when working through ambiguity, changing requirements, or high-pressure situations.
What We Offer
A senior, hands-on role delivering meaningful AI solutions for real customer challenges.
Flexible hybrid working arrangements.
Ongoing professional development and Microsoft certification opportunities.
Career growth within a global Microsoft partner.
Exposure to complex and innovative customer environments.
The opportunity to influence HSO’s AI engineering standards and ways of working.
Collaboration with experienced technical teams across ANZ and HSO’s global network.
A culture focused on learning, innovation, continuous improvement, and customer success.
Join Us
If you're passionate about building AI solutions that work reliably in the real world, and you enjoy bringing customers and technical teams together to solve complex problems, we'd love to hear from you.
We're currently building our network of talented AI and Machine Learning professionals for future opportunities at HSO. By submitting your expression of interest, you'll be considered for upcoming Senior Machine Learning Engineer roles as they become available.
Join HSO and help organisations realise measurable value from cloud, data, machine learning, and AI technology.
Register your interest today and be among the first to hear about our upcoming opportunities with HSO.
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US Remote
ERP & CRM (e.g. D365 F&O, D365CE)
Engagement Director
As an Engagement Director you can expect to...
Serve as the executive leader for a portfolio of 3-5 strategic client accounts representing more than $10 million in total revenue, ensuring alignment between client objectives and HSO’s business goals.
Own overall client satisfaction, retention, and reference ability across assigned accounts while serving as the executive escalation point for critical client concerns and complex issues.
Build and strengthen trusted relationships with client executives, sponsors, and key stakeholders, positioning HSO as a strategic advisor and long-term partner.
Lead account planning efforts and growth strategies that expand revenue through additional services, solution offerings, and geographic opportunities.
Partner closely with Sales, Delivery, Practice Leaders, and Solution Leads to identify, pursue, and close account expansion opportunities.
Drive financial performance across assigned
From HSO Nederland B.V.'s own posting, which is always the source of truth. Apply there.