Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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The role involves engaging with strategic customers to gather engineering insights and drive product improvements for Windows 365 and Azure Virtual Desktop. You will influence product roadmaps and enable the deployment ecosystem through deep technical collaboration.
This role is responsible for modernizing analytics and streamlining reporting assets from legacy systems to Epic native reporting and Tableau. The incumbent will maintain reporting environments, collaborate with data architects, and ensure high-quality, actionable data delivery.
The role involves designing and building next-generation networking infrastructure to support large-scale AI training and inference. You will lead architectural discussions, develop complex design specifications, and ensure the performance, scalability, and security of distributed AI systems.
Define and execute the product strategy for GPU back-end networking to support large-scale AI training and inference workloads. Drive cross-functional alignment across hardware, software, and operations teams to deliver infrastructure from concept through deployment.
The Industry Architect leads R&D engagements from pre-sales through delivery, bridging scientific requirements with Microsoft's AI technologies. They are responsible for shaping high-value opportunities, managing technical workstreams, and developing reusable architectures to scale R&D solutions.
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The Industry Architect will lead complex R&D engagements from pre-sales through delivery, bridging scientific requirements with Microsoft's AI technologies. They are responsible for shaping high-value opportunities, designing technical solutions, and developing repeatable patterns to scale R&D motions across industries.
The AI Platform Engineer will build and operate platforms for deploying, monitoring, and maintaining production AI models and services. They will collaborate with cross-functional teams to ensure AI capabilities are safely and consistently delivered into production workflows.
The manager will serve as the strategic analytics engine for the GTM organization, owning target setting, KPI development, and performance reporting. They will drive cross-functional initiatives to optimize sales productivity, pricing, and account segmentation while providing actionable insights to leadership.
The Lead Privacy Engineer will design and operationalize advanced de-identification, anonymization, and encryption capabilities for Project Trinity. This role involves translating complex privacy and regulatory requirements into technical controls across data pipelines and platform architectures.
Lead reliability engineering initiatives for critical user-facing systems to ensure high availability, performance, and scalability. Drive operational excellence by architecting robust systems, automating workflows, and leading complex incident response efforts.
Lead the operational strategy and execution for the Salesforce platform to ensure reliability, performance, and scalable delivery of business value. Manage cross-functional teams, vendor performance, and platform governance while driving continuous improvement and operational excellence.
The Finance Integration Lead is responsible for coordinating the finance workstream for the integration of IDT and Aldevron, including harmonizing processes, systems, and reporting. This role facilitates weekly management meetings and partners with cross-functional teams to ensure program governance and value realization.
Design and implement automated data quality validation and monitoring processes across cloud-native data pipelines. Collaborate with stakeholders and engineering teams to translate data quality findings into actionable improvements and technical solutions.
The Data Catalog Engineer will configure and maintain enterprise data catalog systems to ensure metadata accuracy and accessibility across the platform. They will also implement data lineage tracking and enforce governance policies within Databricks Unity Catalog to support secure data access.
Build and deploy production-grade AI/ML capabilities using Azure and Databricks to support enterprise data modernization. Implement MLOps practices and ensure AI solutions comply with safety, privacy, and governance standards.
The Senior Data Engineer will lead the design and implementation of scalable ingestion architectures and data models for a federal agency's cloud-native platform. They will also serve as a team lead, managing technical delivery, mentoring staff, and acting as the primary liaison between the team and customer leadership.
Develop accessible, workflow-driven web applications using JavaScript and TypeScript to support enterprise data platform initiatives. Collaborate with cross-functional teams to integrate frontend applications with backend APIs and ensure compliance with federal accessibility standards.
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The AI Training Specialist will evaluate complex machine learning scenarios and develop statistical models to address real-world business problems. They will also write and optimize code while providing expert insights on analytical systems to both technical and non-technical stakeholders.
Develop and maintain native C++ components and Windows platform APIs while diagnosing and resolving complex OS-level issues. You will take ownership of technical problems from initial investigation through to testing and delivery within the Store ecosystem.
The role involves owning the diagnostic loop for LLM-based clinical services by identifying failure modes and designing experiments to verify improvements. You will also define the evaluation roadmap, establish quality standards, and partner with clinical and product teams to ensure AI service reliability.
Lead enterprise-scale AI transformation initiatives by reimagining business processes and defining human-AI operating models. Manage program governance, stakeholder alignment, and change management strategies to ensure sustainable adoption and measurable business value.
You will lead the productization of new GPU boards for datacenter architectures by planning processes, defining test requirements, and optimizing production lines. Additionally, you will collaborate with engineering teams to debug complex hardware and software interactions while ensuring compliance with DFx requirements.
You will design and develop large-scale, fault-tolerant multimodal agentic experiences, including Voice AI and Deep Research capabilities. Additionally, you will lead complex, multi-team initiatives to bridge the gap between applied research and scalable engineering.
This role involves designing, building, and maintaining scalable data pipelines and ETL/ELT workflows between corporate IT systems and the data lake. You will also collaborate with stakeholders to implement data quality governance and integrate solutions with cloud platforms.
The Data Support Engineer serves as the primary point of contact for data platform incidents, user access requests, and reporting issues. They also monitor data integrations, maintain support documentation, and assist with data quality validation and cleansing tasks.
The manager will lead strategic AI initiatives by acting as a hands-on tech lead while managing and mentoring a team of AI-native engineers. They are responsible for setting technical standards, managing compute budgets, and ensuring software engineering excellence across the development lifecycle.
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The Business Analyst is responsible for analyzing complex business problems, identifying gaps, and developing technical solutions for Provider Enrollment and screening subsystems. They act as a bridge between IT teams and clients, managing the end-to-end requirements lifecycle and facilitating design sessions.
The Principal Systems Engineer serves as the senior technical leader for VMware Cloud Foundation, overseeing architecture, automation, and lifecycle management. They are responsible for defining cloud strategy, leading end-to-end infrastructure projects, and providing technical mentorship to the engineering team.
The Senior Cyber Security Analyst will secure software development lifecycles and protect critical infrastructure by embedding security controls and managing vulnerabilities. They will also lead incident response efforts, conduct penetration testing, and partner with engineering teams to strengthen the overall security posture.
The Senior Azure Engineer will lead the design, implementation, and evolution of enterprise cloud platforms while establishing engineering standards. They are responsible for infrastructure automation, cloud security, and providing technical leadership during critical production incidents.
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