4,540 Azure jobs available for remote work from home. Apply for positions such as App Innovation Senior Cloud Solution Architect, Principal Product Manager, Forward Deployed Engineer (Immuware), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The architect will lead technical engagements to design and implement secure, scalable GitHub and AI-driven solutions for enterprise customers. They are responsible for driving adoption of Azure AI and GitHub platforms while providing delivery oversight and technical guidance to ensure production readiness.
Define the vision, strategy, and roadmap for the Brain Health & Detection platform while leveraging AI and telemetry to improve service reliability. Partner with engineering and data science teams to deliver scalable health intelligence and drive autonomous decision-making systems.
The Forward Deployed Engineer serves as a technical bridge between customer needs and internal product teams, owning the end-to-end resolution of technical issues. They lead technical working sessions, configure workflows, and build custom solutions to ensure customer success within the Immuware platform.
The Senior QA Analyst will lead testing efforts for complex data and ETL projects, ensuring high-quality delivery through automated and manual testing. They will also mentor junior team members, collaborate with stakeholders, and define robust testing strategies to improve overall team velocity.
The IAM Engineer designs, implements, and optimizes identity services including SSO, MFA, and access governance across a global technology ecosystem. They are responsible for troubleshooting complex technical issues, developing automation scripts, and ensuring secure, scalable identity solutions.
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Develop and maintain cloud platform services on Azure while automating infrastructure provisioning using Infrastructure-as-Code tools. Implement CI/CD pipelines and manage security controls to ensure scalable, secure, and reliable data operations.
The Platform Architect will lead the design and evolution of a secure hybrid cloud platform using Azure and Kubernetes to support mission-critical space operations. They will establish platform standards, automate infrastructure, and collaborate with cross-functional teams to deliver a scalable Internal Developer Platform.
The Senior Scrum Master will drive agile delivery across a complex federal data integration program by facilitating processes and managing sprint cadences. They are responsible for removing blockers, coordinating across cross-agency stakeholders, and providing technical oversight for system architecture and migration.
The analyst will lead incident response efforts across corporate, cloud, and product environments while performing proactive threat hunting to identify indicators of compromise. Additionally, they will collaborate with engineering teams to optimize security automation and strengthen defense strategies using threat modeling frameworks.
The Systems Engineer will design, deploy, and operate Microsoft Azure environments while supporting enterprise systems architectures and standards. They will also collaborate with cross-functional teams to manage infrastructure, security platforms, and automation solutions.
You will architect, build, and scale the infrastructure orchestration and distributed compute platform for decentralized model training. This includes managing multi-cloud deployments, ensuring fault-tolerant distributed ML systems, and handling real-world network conditions.
The AI/ML Architect SME will define and maintain a scalable 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 Application Engineer II provides technical support and administration for enterprise applications, including configuring, testing, and troubleshooting system solutions. They also manage integrations, triage user incidents, and collaborate with cross-functional teams to ensure operational efficiency and compliance.
The System Administrator will provide operational support for enterprise Virtual Desktop Services, including monitoring system health and resolving complex infrastructure issues. They will also perform system maintenance, patching, and collaborate with engineering teams to implement service improvements and automation.
The AI Engineer I supports the design, development, and testing of AI-powered solutions to address operational and participant care challenges within the PACE program. The role involves collaborating with senior engineers to build enterprise AI models, RAG systems, and agentic workflows while maintaining cloud-based infrastructure.
The Principal Architect leads cross-functional teams in the design and execution of complex, enterprise-grade AI solutions. They serve as a trusted technical advisor to executive stakeholders while shaping the strategic direction of the AI Product Engineering practice.
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You will architect and deploy high-impact AI solutions for federal customers while managing the full lifecycle from design to launch. Additionally, you will serve as a strategic advisor to federal stakeholders, ensuring technical success and integrating the platform with enterprise systems.
The DevSecOps Engineer is responsible for provisioning, configuring, and monitoring infrastructure resources within the Azure cloud environment. They will manage release processes, maintain CI/CD pipelines, and ensure the availability and security of development, QA, and production environments.
The role acts as a technical bridge between customers and the technology organization to design and demonstrate location intelligence solutions. Responsibilities include leading technical discovery, creating solution architectures, and partnering with sales to accelerate customer decisions.
The Senior Product Manager leads complex initiatives and defines strategy for technology platform capabilities while driving alignment across engineering and stakeholder teams. They are responsible for translating enterprise strategy into outcome-driven roadmaps and ensuring the delivery of scalable, sustainable platform solutions.
The Workday Quality Assurance Lead is responsible for defining and executing the end-to-end QA strategy for Workday implementations and upgrades. This role involves managing defect lifecycles, coordinating testing cycles across various modules, and ensuring alignment with business requirements.
Design and develop end-to-end Power Platform solutions including Power Apps, Power Automate, and Dataverse. Lead modernization initiatives and ensure adherence to governance, security, and ALM best practices.
The Senior AWS Solutions Architect will design, implement, and optimize enterprise-scale cloud solutions while ensuring they are scalable, secure, and cost-effective. The role involves leading technical implementation, mentoring engineering teams, and driving cloud innovation across various AWS services.
Develop and deploy production AI features for K-12 educators and students, focusing on lesson planning, grading, and personalized tutoring. Ensure all AI solutions adhere to strict child safety standards and education data privacy regulations like FERPA and COPPA.
The Automation Developer will lead the design, development, and maintenance of automation solutions while collaborating with cross-functional teams to optimize business workflows. They are responsible for monitoring deployed solutions for performance and applying agile methodologies to resolve complex technical issues.
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The Product Owner manages the product backlog and translates strategic roadmap priorities into actionable user stories for engineering teams. They act as the primary liaison between product management and development, ensuring features meet business requirements and customer needs.
You will design and build a next-generation multi-tenant data platform using Python and SQL Server. This involves migrating legacy stored procedures into testable Python code and integrating modern data sources like Snowflake.
Lead the architectural design of complex backend and distributed systems while taking full ownership of workstreams from inception to launch. Act as a technical consultant to clients by distilling complex technical information for various stakeholders and mentoring junior engineers.
The DevOps Engineer will design, build, and maintain infrastructure using automation tools like Terraform and Azure DevOps to support SaaS offerings. They are responsible for implementing continuous delivery systems, optimizing security and performance, and collaborating with development teams to resolve operational issues.
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