4,018 Software Engineering jobs available for remote work from home. Apply for positions such as Sr Hardware Test Development Engineer, Aud Fitting Support Advisor - Remote, Aud Fitting Support Advisor - Remote, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Design and develop comprehensive test systems and procedures for manufacturing processes, including creating test plans and scripts for hardware components. Maintain and support server and rack-level test software and infrastructure while collaborating with cross-functional teams to ensure quality standards.
Provide technical and audiological support to customers regarding hearing aid fitting, product information, and software troubleshooting. Collaborate with internal teams including engineering, product management, and sales to ensure customer satisfaction and resolve product discrepancies.
Provide technical and audiological support for hearing aid products, including troubleshooting software and hardware issues. Collaborate with internal teams such as engineering, product management, and sales to ensure customer satisfaction and product quality.
The Senior Manager leads a team of program and project managers to deliver complex, enterprise-level customer engagements. They are responsible for driving strategic vision, ensuring business outcomes, and fostering cross-functional alignment across various industry verticals.
Own the reliability and operational health of Substrate components in highly regulated environments. Design and implement automation to reduce toil and lead post-incident reviews to ensure durable fixes.
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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.
You will lead strategic projects to modernize M365 Core infrastructure while solving complex, high-visibility technical challenges. You are responsible for aligning cross-functional teams, mentoring senior engineers, and ensuring the reliability and scalability of distributed services.
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.
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.
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.
You will own and deliver end-to-end computer vision projects, including equipment defect detection and thermal anomaly identification for power grid infrastructure. Additionally, you will bridge the gap between research and production by adapting novel algorithms and building scalable data pipelines.
You will own core platform capabilities such as identity, permissions, and enterprise integrations while driving the development of AI-native workflows. You will lead complex technical initiatives from architecture through implementation and mentor other engineers to raise the engineering bar.
The developer will design, build, and maintain scalable enterprise applications using Java, Spring Boot, and microservices architecture. They will also be responsible for cloud-native development, deployment, and monitoring on the Google Cloud Platform.
Develop and support tools and services that enhance enterprise development workflows within the Atlassian ecosystem. Collaborate with cross-functional teams including developers, system administrators, and project managers to solve technical challenges.
This is a talent community pool for future software engineering opportunities rather than an active job opening. Candidates will be contacted by recruiters when their profile aligns with specific project needs.
Lead and support multiple engineering teams to deliver high-quality, scalable software solutions while translating business strategy into technical roadmaps. Foster a culture of growth and accountability by mentoring engineering managers and collaborating with cross-functional stakeholders.
The QA Analyst will plan, develop, and execute quality assurance activities to support healthcare data integration and interoperability solutions. Responsibilities include validating data exchanges, managing defects, and collaborating with Agile teams to ensure quality objectives are met.
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You will modernize legacy SQL Server systems while building scalable data infrastructure to support AI applications and agents. This involves designing embedding pipelines, optimizing database performance, and implementing event-driven architectures.
Lead and support multiple engineering teams to deliver high-quality, scalable software solutions while aligning technical roadmaps with business strategy. Foster a culture of growth and accountability by mentoring engineering managers and collaborating with cross-functional stakeholders.
You will own the frontend architecture for internal and customer-facing applications while establishing engineering patterns and design standards. You will collaborate with cross-functional teams to build accessible, scalable interfaces that integrate with governed backend systems.
Drive full-cycle recruitment for high-impact technical roles, specifically within software engineering and platform development. Partner with hiring managers to build effective hiring plans and champion inclusive, data-driven recruitment practices.
You will own and deliver end-to-end computer vision projects for power grid infrastructure, including defect detection and thermal anomaly identification. You will also bridge the gap between research and production by adapting novel algorithms and building scalable deployment pipelines.
Develop and modernize legacy mainframe systems into cloud-native microservices using AWS GovCloud. Collaborate with engineering teams to troubleshoot production systems and provide technical leadership for architectural decisions.
The Software Solutions Lead manages end-to-end software engineering execution, overseeing sprint planning, build operations, and production deployment. They also lead integration efforts with VA enterprise systems while ensuring compliance with DevSecOps standards and quality gates.
The AVP of Infrastructure provides strategic leadership for enterprise infrastructure operations, technology platforms, and engineering across all business lines. They are responsible for shaping the long-term vision, ensuring scalable and secure systems, and managing high-performing teams to drive operational excellence.
The Data & AI Engineer II will develop analytical applications, data pipelines, and AI-powered capabilities to support clinical research and decision-making. They will collaborate with cross-functional teams to productionize statistical models and translate research-based workflows into maintainable Python code.
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You will architect, build, and operate production-grade agentic AI systems that reason over enterprise data and execute mission-critical identity security actions. You will also lead technical initiatives, raise the engineering bar through code reviews, and mentor team members on production AI practices.
Design and improve machine learning models for ad ranking, relevance, and optimization while managing production inference systems. Collaborate with cross-functional teams to translate user experience gaps into measurable ML improvements using active learning and LLM-assisted workflows.
You will research, develop, and deploy advanced AI systems, including large language models and agentic AI, to solve real-world problems. Additionally, you will contribute to the AI community by publishing research and developing scalable data processing methods.
The engineer will own complex production and customer-impacting issues while building and improving the cloud-based platform end-to-end. Responsibilities include triaging incidents, performing root-cause analysis, and developing durable code fixes across web applications, APIs, and databases.
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