3,822 Software Engineering jobs available for remote work from home. Apply for positions such as Staff Software Engineer, Manager, Engineering I, Software Engineering Technical Specialist – Workday Integrations, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Set the technical vision and strategy for the Global Support Platform, driving the adoption of AI and ML to optimize workflows. Lead a team of engineers to deliver scalable backend systems while mentoring staff and managing the technical roadmap.
Lead a team of 4-6 software engineers, balancing people management with hands-on technical leadership and architectural decision-making. Drive operational excellence by improving CI/CD pipelines, observability, and incident response while ensuring predictable delivery of scalable systems.
Design, develop, and support integration solutions connecting Workday to various enterprise platforms such as payroll, benefits, and identity management. Collaborate with cross-functional stakeholders to translate business requirements into scalable technical solutions and resolve production incidents.
Lead and build the network-facing infrastructure, specifically owning the FreeRADIUS proxy architecture and provisioning pipelines. Act as a player-coach by handling hands-on configuration and troubleshooting while scaling the systems engineering team.
The role involves collaborating with stakeholders to define KPIs and dashboard structures while building data models in BigQuery and dbt. The engineer will develop LookML models and leverage AI-driven solutions to enhance the user experience for data exploration.
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The role involves collaborating with stakeholders to define KPIs and dashboard structures while building data models in BigQuery and dbt. The engineer will develop LookML models and leverage AI-driven solutions to enhance the user experience for data exploration.
Design, implement, and support automation, deployment, and operational reliability across cloud and hosted environments. Partner with engineering and security teams to optimize CI/CD pipelines and integrate AI-driven operations for better service resilience.
Innovate and improve machine learning models to drive efficient financial decisions for customers. Collaborate with business leaders and technical experts to develop new data sources and implement sound risk management.
Design and implement production-grade machine learning systems to enhance threat detection and automate security analysis for ICS and xOT cybersecurity. Collaborate with data engineers and OT experts to build scalable ML workflows and optimize model performance in cloud and on-premises environments.
Design and implement production-grade machine learning systems to enhance threat detection and automate security analysis for ICS and xOT cybersecurity. Collaborate with data engineers and OT experts to build scalable ML workflows and optimize model performance in production.
Lead the Fraud & Risk Machine Learning organization to build and scale production-grade fraud detection and risk decisioning products. Partner with executive leadership to define the ML roadmap and mentor a high-performing team of data scientists and engineers.
Design, build, and scale mission-critical full-stack applications and high-throughput distributed systems on AWS. Collaborate with cross-functional teams to implement AI-powered product improvements and maintain operational excellence.
Lead a multidisciplinary pod of engineers to ship high-visibility, workflow-heavy product features. Partner with Product and Design teams to translate complex requirements into scalable product experiences while maintaining high quality and reliability.
Lead and grow the Platform Engineering team to build business-critical systems across sales, billing, and internal automation. Define the technical strategy and architecture for shared platforms while partnering cross-functionally to align engineering decisions with business outcomes.
Lead the vision, architecture, and execution of the Endpoint Platform while overseeing a global engineering organization of over 150 people. Drive innovation in EDR, XDR, and AI-assisted security to protect enterprise customers on a global scale.
Lead the design and evolution of cloud-native applications and modernize legacy monolithic systems into distributed microservices. Actively participate in coding, design reviews, and mentoring engineering teams to ensure technical solutions align with business goals.
Lead the design and evolution of scalable cloud-native architectures and modernize legacy monolithic systems into microservices. Actively participate in hands-on software development, code reviews, and mentoring engineering teams to ensure technical alignment with business goals.
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Design, build, and operate scalable data pipelines on the Azure platform to enable analytics and self-service BI. Responsibilities include implementing ELT pipelines, ensuring data quality, and collaborating with stakeholders to deliver curated Delta tables.
Architect and deploy AI-enabled workflows and LLM agents to optimize operations within Commercial Finance. Partner with security and legal teams to ensure HIPAA compliance while leading AI adoption and training across the enterprise.
Build and scale end-to-end products for the Revenue Cycle Management platform to empower operations teams. Work across the full software stack to maintain customer-facing features and improve website infrastructure.
Lead the technical vision and architecture for cloud-native financial engines and high-throughput data platforms. Provide thought leadership, mentor engineering talent, and solve complex distributed systems challenges to modernize banking infrastructure.
The role involves monitoring ELT pipelines, maintaining data warehouse models, and developing business intelligence data models. It also focuses on improving data assets for AI workflows and supporting organization-wide analytics requests.
Design and develop scalable, high-performance backend services and APIs for the DDN Infinia AI Data Platform's control plane. Focus on centralized orchestration, lifecycle management, and secure-by-design systems across hybrid cloud and on-premises environments.
Design, build, and maintain scalable data pipelines and enterprise data architecture to support organizational decision-making. Partner with cross-functional teams to implement data modeling standards, governance practices, and reliable data workflows.
The role involves partnering with engineering teams to integrate security into the product design and development lifecycle. Key tasks include performing threat modeling, conducting security code reviews, and managing application security tooling within CI/CD pipelines.
Lead the development and architecture of secure enterprise software applications and frameworks for the DHI Information Technology team. Partner with stakeholders to define technical direction and maintain robust CI/CD pipelines and third-party integrations.
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Implement and maintain user-facing functionality and scalable backend services for an eCommerce platform. Collaborate with product managers and engineers to design architecture and resolve performance bottlenecks.
The role involves evolving foundational data infrastructure to support the finance department, managing the end-to-end analytics pipeline from ingestion to reporting. You will collaborate with business and engineering teams to design schemas and promote software engineering best practices across the organization.
The intern will develop, debug, and test software applications while documenting new software. They will collaborate with senior leaders to research and fix technical issues and create innovative solutions.
Lead the design and architecture of POS terminal solutions, ensuring security, scalability, and integration with payment hardware. You will define software engineering best practices and provide technical mentorship to engineering teams.
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