4,540 Azure jobs available for remote work from home. Apply for positions such as Lead Cloud Infrastructure Engineer, Principal Identity Governance Lead, Playwright Automation Tester, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead the migration of on-premise infrastructure to a multi-cloud environment while ensuring reliability, security, and cost-optimization. Implement SRE practices, automate workflows using Infrastructure-as-Code, and mentor engineering teams throughout the migration lifecycle.
The Principal Identity Governance Lead will design and oversee a comprehensive identity governance program for both human and non-human identities. This role involves collaborating with security and IT teams to align identity systems with AI-first strategies while ensuring compliance with regulatory frameworks.
The Senior QA Engineer will lead quality assurance efforts for Microsoft Power Platform applications by designing test strategies and executing both manual and automated tests. They will also manage defect tracking and ensure automation is integrated into CI/CD pipelines to support rapid release cycles.
You will design and operate batch and streaming data pipelines on Databricks using a medallion architecture. Additionally, you will migrate legacy ETL workloads to the Lakehouse while ensuring data quality and governance.
Design, build, and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake. Migrate legacy ETL workloads to a governed Lakehouse architecture while ensuring data quality and performance optimization.
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The Technical Sales Engineer will serve as the deep technical expert for the sales team, handling complex inquiries regarding security, cloud infrastructure, and system integration. They will lead technical evaluations, respond to RFPs, and act as a bridge between the sales team and internal product/engineering departments.
Design and develop immersive, scenario-driven cybersecurity training content and lab environments. Lead and mentor team members while ensuring technical accuracy and high-quality learning experiences.
The IT Project Manager will oversee multiple concurrent projects supporting Customer Services applications and business operations. Responsibilities include developing project plans, managing execution, and collaborating with global cross-functional teams to ensure on-time and on-budget delivery.
The Project Manager will lead cross-functional Agile teams to deliver software solutions while serving as a bridge between business stakeholders and technical teams. Responsibilities include managing project scope, schedule, and budget, as well as facilitating Agile ceremonies and refining product backlogs.
The AI/ML Architect SME will define and maintain a scalable, modular AI/ML architecture while implementing end-to-end pipelines for data ingestion, model training, and deployment. They will also integrate MLOps best practices and leverage Infrastructure-as-Code to manage cloud-based AI/ML infrastructure in compliance with federal standards.
The Sr. Solutions Engineer will serve as a trusted advisor to customers, architecting secure identity and access management solutions. They will lead technical workshops, design integration strategies, and troubleshoot complex workflows to ensure successful platform adoption.
The developer will design and implement automated test frameworks and contribute directly to the product codebase using AI-assisted development practices. They will work within an agile SCRUM team to improve code quality, reduce defect rates, and manage exploratory testing for enterprise software solutions.
The developer will contribute to the adoption of AI-first software development practices while building and maintaining scalable, cloud-native SaaS capabilities. They will work across the full development lifecycle, including design, implementation, automated testing, and troubleshooting using C#, Python, and Azure/AWS technologies.
The Senior Solutions Engineer will own the technical sales process from introductory meetings through post-sales, including designing solutions and demonstrating Cloudera products. They will also partner with Account Managers to drive sales and advocate for customer needs to internal Product and Engineering teams.
The Sales Engineer will own the technical sales cycle for SMB and Midmarket accounts, leading discovery, demonstrations, and proof-of-value engagements. They will partner with Account Executives to align technical solutions with customer business outcomes and support RFP responses.
You will be responsible for building, securing, and optimizing SQL Server database platforms, with a primary focus on Azure-hosted workloads. This includes managing database reliability, performance, backup and recovery strategies, and automating operational tasks.
The Cloud-Native Architect will lead the modernization of enterprise-scale applications using microservices, Kubernetes, and cloud-native technologies. They are responsible for defining architecture standards, driving technical excellence, and mentoring engineering teams.
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The Connected Systems Engineer will design, develop, and deploy data-driven industrial systems that integrate factory-floor operations with enterprise and cloud platforms. They will be responsible for architecting scalable, secure solutions while leading technical initiatives and mentoring engineering teams.
The Microsoft Azure Specialist will design, implement, and maintain secure, scalable, and highly available enterprise-grade cloud infrastructure. They will also lead cloud modernization, automation, and DevSecOps initiatives while providing technical leadership and mentoring to engineering teams.
The IT Solutions Consultant will design and govern enterprise-grade technology solutions, including cloud platforms, integration ecosystems, and large-scale business applications. They will collaborate with business stakeholders and engineering leadership to translate strategic objectives into secure, scalable, and maintainable technology roadmaps.
The Data Engineer will build and maintain scalable data ingestion pipelines and transformation models using Snowflake and dbt. They will also leverage AI-assisted workflows to automate testing, documentation, and code generation while ensuring data quality and security.
The Senior Microsoft DevSecOps Engineer will design, configure, and sustain Microsoft Azure capabilities while implementing secure CI/CD pipelines and infrastructure automation. This role involves collaborating with cross-functional teams to translate mission requirements into reliable, secure, and maintainable platform solutions.
The Business Systems Analyst will act as a liaison between stakeholders and development teams to gather requirements and translate them into functional specifications. They will also facilitate Agile ceremonies, manage backlogs, and support system testing to ensure project success.
The Senior Agentic AI Engineer will design, build, and deploy enterprise AI agents that reason, plan, and execute complex business processes across various systems. This role involves partnering with business stakeholders to identify high-value use cases and creating scalable, production-ready AI frameworks.
The Senior Desktop Specialist will manage and troubleshoot the Windows endpoint fleet, focusing on Windows Autopilot, Intune, and hybrid identity environments. This role also involves refining enrollment workflows, mentoring junior staff, and collaborating with security teams to ensure device compliance.
You will architect and sustain scalable data infrastructure, including secure data lakes and pipelines for complex geospatial datasets. Additionally, you will provide technical leadership, mentor engineering staff, and define engineering benchmarks to ensure platform reliability and performance.
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The Senior Enterprise Architect will lead technical planning and cloud modernization efforts to align with enterprise standards and security compliance. They will collaborate with teams to define cloud patterns and provide thought leadership on best practices for scalable cloud-native solutions.
The engineer will design, deploy, and operate cloud networking infrastructure across major cloud providers. They will collaborate with cross-functional teams to translate requirements into scalable solutions while providing mentorship to junior staff.
The Real-Time Data Engineer will architect, deploy, and operate large-scale Apache Kafka and Confluent platform environments for mission-critical workloads. They will own the platform end-to-end, including cluster sizing, security, automation, and developer enablement.
The Senior Microsoft SRE will design, develop, and sustain Azure cloud platform capabilities while ensuring system reliability, observability, and operational readiness. This role involves collaborating with cross-functional teams to implement CI/CD pipelines, infrastructure as code, and secure deployment automation to support mission-aligned digital services.
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