4,317 Software Engineering jobs available for remote work from home. Apply for positions such as AI Infrastructure Engineer, Application Security Engineer, Site Reliability Engineer (SRE), and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The AI Infrastructure Engineer will design, build, and operate the platform layer for large-scale AI training and inference workloads. Responsibilities include managing GPU clusters, optimizing scheduling systems, and ensuring high-performance data pipelines for ML researchers.
The Application Security Engineer will embed security throughout the software development lifecycle by partnering with engineering teams to design secure systems and identify vulnerabilities. They will also drive vulnerability management workflows, conduct threat modeling, and implement runtime protections like WAF and RASP.
The SRE will ensure the availability, performance, and operational excellence of large-scale distributed systems by applying software engineering principles to infrastructure. Responsibilities include defining service-level objectives, leading incident response, automating operational tasks, and managing Kubernetes clusters.
You will design and build cloud-native platforms using CNCF technologies while advising clients on optimized cloud services and automated deployment processes. Additionally, you will drive automation and foster a DevOps culture within agile, cross-functional teams.
You will design and operate robust, production-grade data pipelines while defining core data models for the platform. Additionally, you will collaborate with cross-functional teams to ensure data architecture scales effectively with product and AI growth.
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The role involves designing, developing, troubleshooting, and testing software applications or operating systems. You will build enhancements within existing software architectures and provide improvements to the system design.
You will lead the technical direction for AI enablement by identifying high-leverage opportunities and building scalable, production-ready AI solutions. You will also act as a multiplier by mentoring teams, establishing engineering standards, and measuring the business impact of AI initiatives.
You will design, develop, and maintain scalable backend services while providing technical leadership and architectural guidance to the engineering team. The role involves hands-on coding, mentoring other engineers, and ensuring the reliability and performance of distributed systems in a cloud-native environment.
You will lead end-to-end product lifecycle management for ServiceNow and workflow-enabled capabilities by translating business needs into scalable technical solutions. This involves partnering with engineering and operational teams to define product backlogs, integrate automation, and drive impactful healthcare outcomes.
Design, develop, and maintain Linux-based embedded systems while ensuring high performance and reliability. Collaborate with hardware and software teams to integrate components and resolve complex system issues.
The Lead Java Engineer will define and own the platform architecture while leading architecture reviews and influencing product roadmaps. They will also mentor engineering teams and guide technical strategy for global cloud deployments and compliance.
The engineer will design, develop, and maintain platform software solutions, including printer drivers and developer SDKs. They will collaborate with cross-functional teams to define requirements, resolve defects, and improve development processes.
You will design, build, and maintain scalable web applications while defining frontend architecture and engineering standards. You will also collaborate with cross-functional teams to deliver high-quality, accessible user interfaces and mentor other engineers.
You will design, build, and maintain scalable web applications while defining frontend architecture and engineering standards. Additionally, you will collaborate with cross-functional teams to deliver high-quality, accessible user interfaces and mentor other engineers.
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The Principal Software Engineer will design and develop end-to-end advertising software solutions while managing cross-team dependencies. They will also mentor junior team members and contribute to technical roadmaps and architecture decisions.
You will support the technical due diligence and transition readiness of OpenStack-derived cloud services using AI-assisted software engineering methods. This involves analyzing service boundaries, dependencies, and runtime requirements to create structured handover documentation for engineering teams.
Design, build, and operate enterprise security controls as software products that integrate directly into the SDLC. Own security control capabilities end-to-end, including architecture, implementation, deployment, and ongoing operational support.
Design, develop, and maintain highly scalable and performant services for the Git code-hosting platform. Lead technical discussions, mentor team members, and participate in on-call rotations to ensure system reliability and performance.
Design, develop, and maintain high-quality, scalable technical solutions for the Git systems infrastructure. Provide technical leadership through code reviews, architectural documentation, and mentorship while ensuring the reliability of live services.
Design, develop, and maintain production-grade AI-enabled applications and ServiceNow solutions within secure U.S. Government cloud environments. Ensure compliance with federal security standards while managing the full software development lifecycle and DevSecOps practices.
Lead a team at the core of Atlassian's data strategy, focusing on throughput, latency, cost, and reliability. Manage the full-lifecycle platform team responsible for critical data infrastructure including ingestion and consumption systems.
You will build and maintain features for enterprise-grade infrastructure, focusing on scalability, observability, and security. This involves writing end-to-end code, managing database migrations, and participating in on-call rotations to support production environments.
The Cloud Product Security Engineer designs, builds, and operates cloud-native security controls as software products across infrastructure and application services. This role involves engineering preventative and detective capabilities, including CSPM and DLP, while collaborating with teams to ensure reliable and scalable security integrations.
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The role involves designing and maintaining robust business data models to support GTM analytics and driving the automation of the business intelligence ecosystem. You will collaborate cross-functionally to ensure data consistency and provide actionable insights to enhance revenue operations efficiency.
The engineer will investigate and resolve application defects, system issues, and technical problems within an AI-enabled platform. Additionally, they will perform quarterly AI model tuning and optimization to improve system performance and behavior.
You will lead end-to-end system design and delivery for complex cloud and AI workloads while embedding within customer teams to solve critical challenges. The role involves driving technical strategy, mentoring engineers, and ensuring high standards of security, quality, and operational excellence.
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