4,540 Azure jobs available for remote work from home. Apply for positions such as BUSINESS SYSTEMS ANALYST, Enterprise Services - Enterprise Technical Team Lead, Data Scientist, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Business Systems Analyst translates business needs into actionable requirements and collaborates with stakeholders to identify process improvements and automation opportunities. They also support the product owner in managing the technology backlog and ensuring solutions meet business objectives through effective documentation and testing.
The Enterprise Technical Team Lead oversees the implementation and operationalization of managed services while providing technical leadership and mentorship to the team. This role involves hands-on management of Azure and endpoint environments, incident response, and acting as a primary escalation point for complex technical issues.
The Data Scientist will build and maintain data pipelines, features, and machine learning models within the Databricks platform to support marketing intelligence. They will also perform exploratory data analysis and collaborate with senior engineers to ensure model quality and effective deployment.
Lead the RTS delivery squad and oversee the end-to-end architecture and delivery of strategic, API-driven data products. Mentor engineering team members while establishing technical standards, CI/CD practices, and robust data quality monitoring.
Design, build, and maintain scalable DBT models on Azure Databricks while leveraging AI-assisted tools for development and testing. Collaborate with engineering teams to implement data quality frameworks and ensure data products align with business objectives.
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The Software QA Engineer will design, develop, and execute automated and manual test cases to ensure the quality of complex enterprise software. They will also partner with developers and product owners throughout the SDLC to integrate AI-powered testing tools and maintain robust CI/CD pipelines.
You will administer and improve Microsoft 365 and Azure infrastructure services while designing scalable architectures. Additionally, you will lead implementation projects, automate processes, and provide technical guidance to bridge the gap between IT and business leadership.
The Software Support Analyst provides frontline technical support by troubleshooting and resolving issues related to hardware, software, and enterprise applications. They are responsible for managing helpdesk tickets, supporting onboarding processes, and maintaining internal technical documentation.
Design, develop, and maintain backend services that support product provisioning, licensing, and purchasing capabilities. Collaborate with cross-functional teams to improve system reliability, observability, and operational excellence while mentoring other engineers.
The Junior Quality Assurance Analyst executes manual and exploratory test cases for web applications and Azure-hosted services. They are responsible for documenting defects in Jira, performing regression testing, and maintaining test documentation in Confluence.
The Quality Assurance Analyst is responsible for designing and executing comprehensive test strategies and plans to validate product functionality and compliance. They will collaborate with cross-functional teams to identify, log, and resolve defects while ensuring the platform meets the needs of veterans, caregivers, and internal advocates.
The Site Reliability Engineer will operate and maintain production infrastructure services, ensuring high availability, performance, and security. They will also manage production incidents, automate operational tasks, and collaborate with application teams to implement observability and reliability improvements.
The Site Reliability Engineer will operate and maintain production infrastructure services in AWS, ensuring high availability, security, and performance. They will also manage incident responses, automate operational tasks using infrastructure-as-code, and collaborate with development teams to implement observability requirements.
The Site Reliability Engineer will operate and maintain production infrastructure services in AWS, ensuring high availability, performance, and security. They will also manage incident responses, implement observability tools, and automate operational tasks using an everything-as-code approach.
Lead the security workstream for Microsoft 365 Copilot adoption, providing strategic guidance on data protection, identity security, and AI governance. Design and implement secure solutions in collaboration with cross-functional teams to ensure alignment with enterprise security and compliance requirements.
You will drive automation and process improvement initiatives while supporting the infrastructure for the Robotic Process Automation platform. Responsibilities include designing, coding, testing, and debugging systems while responding to performance events to minimize downtime.
Analyze business processes to identify and implement automation, continuous improvement, and innovation opportunities. Design and build solutions using Bizagi as an orchestrator while integrating AI tools to enhance operational efficiency.
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The DevSecOps Engineer designs, builds, and maintains secure CI/CD pipelines while integrating cybersecurity controls throughout the software development lifecycle. They are responsible for automating deployment processes, managing infrastructure-as-code, and supporting cloud-native environments.
The Senior Data Engineer designs and develops data interfaces, ETL pipelines, and data models to support enterprise-wide data consumption. They also partner with business and security teams to optimize data workflows and ensure compliance across all data platforms.
The Technology Project Manager will lead the planning and execution of complex, cross-functional technology initiatives across the organization. This role involves creating transparent delivery plans, managing dependencies, and ensuring alignment between engineering, product, and business stakeholders.
Design, build, and maintain scalable end-to-end data pipelines while developing efficient data processing and transformation workflows. Collaborate with cross-functional teams to integrate diverse data sources and ensure data accuracy through robust monitoring and validation processes.
You will lead end-to-end security incident investigations and manage escalations from the Managed Security Service Provider. Additionally, you will conduct proactive threat hunts and develop detection content within Microsoft Sentinel to improve cloud security coverage.
Design and develop scalable backend services and responsive frontend applications within a modern TypeScript and Python monorepo. Collaborate with product and design teams to translate business requirements into high-quality, secure, and auditable technical solutions.
The Senior SRE will design and implement automated cloud infrastructure and CI/CD pipelines for Syniti's global SaaS platform. They will also lead incident response, ensure compliance with security standards, and maintain observability across microservices.
You will provide technical leadership for applied AI and data science initiatives, guiding complex projects from concept to production. You will also act as a senior consultant to cross-functional teams to identify high-value opportunities and establish best practices for AI and GenAI solutions.
Design, build, and operate cloud-native engineering platforms to enhance software validation, release confidence, and production readiness. Collaborate with engineering teams to implement automation, observability, and reliability signals while mentoring staff on best practices.
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The BSA/AML Program Analyst supports initiatives through requirements gathering, project coordination, and delivery tracking. They are responsible for maintaining project boards, developing dashboards, and facilitating planning sessions to ensure program alignment.
Design, develop, and maintain full-stack applications using React, Angular, and .NET technologies while collaborating with cross-functional teams. Implement cloud-based solutions on Azure, manage RESTful APIs, and utilize DevOps practices to ensure continuous integration and delivery.
The Data Scientist will analyze incident and performance trends to identify service improvements and resolve operational issues using Splunk and cloud-native monitoring tools. They will also develop predictive models, algorithms, and prototypes to enhance data quality and automation across enterprise systems.
You will own and scale the platform end-to-end, managing the extraction engine, accuracy subsystems, and API layers. You are expected to make architectural decisions and ship high-quality code to production within a TypeScript-based monorepo.
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