Req 1 : 4853 - API Integration & Data Platform Engineer
JOB DESCRIPTION
Update: The hours are 12-5 PM EST (4 or 5 hours per day) - Part time
Rate: $70
Location: Remote
ROLE OVERVIEW
seeking an Integration & Data Platform Engineer to design, configure and support cloud data, messaging, API and AI integration services required for digital platforms within the environment. The role will enable secure data movement, event-driven integration, storage connectivity, Azure AI Search enablement and OpenAI integration validation across cloud-native and enterprise application services.
KEY RESPONSIBILITIES
Data Platform & Storage Services
Deploy, configure and support PostgreSQL, Azure SQL, Redis, Storage Accounts, Blob Storage and data platform components required by digital tool deployments.
Design secure data connectivity and access patterns for application, integration and AI service consumption.
Support performance tuning, availability checks, backup considerations and operational readiness for supported data services.
Configure storage integration patterns for application files, logs, data ingestion and AI-related processing requirements.
Integration, Messaging & APIs
Configure Azure Data Factory pipelines, data movement workflows and orchestration processes for integration use cases.
Set up and support Azure Service Bus, Event Hub and event-driven integration patterns for platform and application services.
Support REST API integrations, secure application-to-application connectivity and API validation across Azure-hosted services.
Collaborate with application, cloud, network and security teams to implement reliable and secure integration flows.
AI Search & OpenAI Integration Enablement
Configure and validate Azure AI Search services, indexing patterns, search endpoints and integration with application workloads.
Support Azure OpenAI integration validation including endpoint connectivity, access controls, data flow verification and monitoring readiness.
Enable supporting services for retrieval-augmented generation patterns, data ingestion and AI-enabled application integration where required.
Document data flows, integration dependencies, API touchpoints, operational runbooks and troubleshooting procedures.
REQUIRED TECHNICAL SKILLS
PostgreSQL, Azure SQL, Redis Cache, Storage Accounts, Blob Storage and data platform administration concepts
Azure Data Factory, Service Bus, Event Hub, API integrations and event-driven architecture patterns
Azure AI Search, Azure OpenAI integration validation, data ingestion and RAG-supporting service awareness
REST APIs, authentication methods, secure connectivity, private endpoints and application integration troubleshooting
Monitoring, logging, performance validation, documentation and cross-team coordination for integration services
QUALIFICATIONS & EXPERIENCE
7-12 years of data platform, integration engineering, application integration or cloud engineering experience.
4+ years of hands-on Azure data, integration or messaging services experience.
Experience supporting AI-enabled applications, enterprise integrations, APIs and cloud-native data platforms.
Strong analytical troubleshooting, documentation and stakeholder coordination skills.
PREFERRED QUALIFICATIONS
Microsoft Certified: Azure Data Engineer Associate (DP-203)
Microsoft Certified: Azure AI Engineer Associate (AI-102) is preferred
Experience with Azure AI Search, Azure OpenAI, Service Bus, Event Hub and enterprise API integration is preferred
PROFESSIONAL COMPETENCIES
Strong communication and stakeholder management
Structured problem solving and ownership mindset
Clear technical documentation and knowledge transfer
Ability to work across architecture, engineering, security, application and business teams
Req 2: 4852 : Azure Infrastructure Architect
JOB SUMMARY JOB DESCRIPTION Update: The hours are 12-5 PM EST (4 or 5 hours per day) Part-time
Title: Azure Infrastructure Architect
Rate: $90
Location: Remote
Job Description Azure Infrastructure Architect (Enterprise Cloud Platform)
Primary Focus Enterprise Azure architecture, Landing Zone governance, platform standards, solution design and technical leadership.
Role Overview seeking an experienced Azure Infrastructure Architect to lead the architecture, governance and implementation of enterprise-scale Azure cloud platforms supporting digital tools, AI-enabled services, automation platforms and modern applications. The role will define Azure architecture standards, Landing Zone alignment, governance guardrails, security baselines, networking, high availability, disaster recovery, cost optimization and operational readiness while providing technical leadership across delivery teams.
Key Responsibilities Design end-to-end Azure reference architectures for digital tools, AI workloads, automation platforms, application hosting and enterprise integrations.
Define Azure Landing Zone architecture including Management Groups, Subscriptions, Resource Groups, Azure Policy, RBAC, naming standards, tagging and governance.
Lead architecture for compute, networking, storage, databases, AI services, AKS, App Services, Functions, Azure Virtual Desktop and platform services.
Define hybrid connectivity architecture including VNets, Subnets, NSGs, Private Endpoints, Private DNS, ExpressRoute, VPN, Azure Firewall, Application Gateway and Front Door.
Define enterprise identity architecture using Microsoft Entra ID, Managed Identities, Service Principals and Key Vault integration.
Establish Infrastructure-as-Code standards using Terraform, Bicep and ARM Templates.
Perform infrastructure sizing, capacity planning, HA/DR design, backup strategy, resilience reviews and production readiness assessments.
Provide technical leadership to Azure, Network, Security, DevOps, Application and Data Engineering teams.
Review solution designs against Microsoft Cloud Adoption Framework, Azure Well-Architected Framework and enterprise security standards.
Drive FinOps practices including Azure Cost Management, budgets, tagging strategy, rightsizing and governance.
Produce architecture documents, HLDs, LLD reviews, decision records, deployment blueprints and operational standards.
Identify technical risks, architectural dependencies and mitigation plans throughout implementation.
Required Technical Skills Azure Landing Zones, Cloud Adoption Framework (CAF) and Azure Well-Architected Framework
Management Groups, Azure Policy, RBAC, Resource Graph, Azure Governance and Cost Management
Azure VMs, App Services, Azure Functions, AKS, Azure Container Registry, Azure Virtual Desktop
Azure SQL, PostgreSQL Flexible Server, Storage Accounts, ADLS Gen2, Azure AI Search, Redis Cache, Event Hubs, Data Factory
Azure OpenAI, AI Foundry/AI Studio, Document Intelligence and AI platform architecture
VNets, NSGs, UDRs, Private Endpoints, Private DNS, Azure Firewall, Application Gateway, Front Door, ExpressRoute and VPN
Azure Monitor, Log Analytics, Application Insights, Defender for Cloud, Azure Backup
Terraform, Bicep, ARM Templates, Azure DevOps and Git-based deployment practices
Qualifications & Experience 12+ years of IT infrastructure, cloud architecture or enterprise technology experience.
5+ years designing enterprise Azure platforms and Landing Zones.
Experience delivering AI, automation, cloud-native and application modernization initiatives.
Strong architecture governance, stakeholder management and technical leadership skills.
Preferred Certifications Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
Microsoft Certified: Azure Administrator Associate (AZ-104)
Microsoft Certified: Azure DevOps Engineer Expert (AZ-400) Preferred
TOGAF certification or equivalent enterprise architecture experience Preferred
Professional Competencies Executive communication and stakeholder management
Architecture governance and decision making
Structured problem solving
Cross-functional leadership
Technical mentoring and knowledge transfer
Req 3: 4851 - Azure DevOps & Automation
JOB DESCRIPTION Update: The hours are 12-5 PM EST (4 or 5 hours per day) Part-time
Rate: $70/hr
Duration: 4-6 months
Location: Remote
Job Description Azure DevOps & Automation Engineer
Primary Focus CI/CD, Infrastructure as Code, DevSecOps, deployment automation and platform engineering enablement.
Role Overview seeking an Azure DevOps & Automation Engineer to establish enterprise CI/CD pipelines, Infrastructure as Code, deployment automation and standardized Azure platform provisioning for AI-enabled digital tools, automation platforms and cloud-native workloads.
Key Responsibilities Design, build and maintain Azure DevOps multi-stage YAML pipelines for infrastructure and application deployments.
Develop reusable Terraform, Bicep and ARM modules for repeatable Azure platform provisioning.
Automate deployment of Azure App Services, Functions, AKS, Azure Container Registry, Azure AI services and platform resources.
Implement Git branching strategies, pull request policies, release approvals and environment promotion (Dev, QA, UAT, Prod).
Implement DevSecOps controls including Key Vault integration, Managed Identity, secret management, IaC validation and security scanning.
Automate AKS deployments using Helm, workload identities and container image lifecycle management.
Integrate Azure Monitor, Log Analytics and Application Insights into deployment pipelines.
Support Power Platform/RPA deployment automation where applicable.
Prepare deployment runbooks, rollback plans, operational documentation and knowledge transfer.
Collaborate with architects, cloud engineers, network, security and application teams to implement enterprise platform standards.
Required Technical Skills Azure DevOps (Repos, Boards, Pipelines, Artifacts)
Git, GitFlow, YAML pipelines
Never miss an opportunity! Create an alert based on the job you applied for.
