4,029 Software Engineering jobs available for remote work from home. Apply for positions such as Software Engineering Director, QA Analyst, AI Data & Database Engineer – Modernization & AI Infrastructure, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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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.
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.
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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.
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.
Design and implement core Agent OS platform services, including agent runtime, tool execution, and evaluation infrastructure. Partner with cross-functional teams to define platform contracts and ensure reliable, production-grade agent workflows.
Lead the technical team in designing and shipping AI-powered solutions including agentic systems, predictive analytics, and diagnostic tools for humanitarian impact. Manage the full development lifecycle, establish engineering quality standards, and foster strategic partnerships with frontier AI organizations.
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The IAM Engineer designs, implements, and maintains complex identity solutions including SailPoint and Azure Active Directory. They are responsible for managing daily IGA functions, onboarding applications, and providing tier 3 technical support.
The Senior Platform Engineer will contribute to hybrid infrastructure and build platform capabilities to enhance developer experience and speed to market. Responsibilities include developing IaC, managing Kubernetes clusters, and mentoring junior developers on technical design and implementation.
You will be responsible for developing and closing business with large State, Local, and Education prospects while building long-term relationships. You will partner with internal teams to provide feedback on product gaps and leverage customer analytics to optimize buying decisions.
Define and drive the technical vision and strategy for the Enterprise Fulfillment team while overseeing the engineering roadmap. Lead, coach, and grow a team of 10+ engineers to build high-quality, scalable grocery picking solutions.
The Lead Product Manager will define and execute a multi-year strategic vision for public safety software portfolios, including CAD and RMS systems. They will lead cross-functional teams to modernize solutions, integrate AI, and ensure alignment with organizational goals and customer needs.
The Lead Product Manager will define and execute a multi-year strategic vision for mission-critical public safety platforms like CAD and RMS. They will lead cross-functional teams to modernize systems, integrate AI, and ensure product outcomes align with organizational goals and customer needs.
You will design and execute experiments to evaluate model behavior, create benchmarks, and develop training strategies for AI models. You will also collaborate with engineering teams and AI labs to turn research hypotheses into concrete data and evaluation solutions.
The role serves as a technical anchor for a cross-functional engineering squad, overseeing architecture, design, and development of healthcare data platforms. Responsibilities include building full-stack Java/React applications, maintaining Python data pipelines, and mentoring peers within an AI-accelerated development environment.
The role serves as a technical anchor for a cross-functional engineering squad, overseeing architecture, design, and development of healthcare data platforms. Responsibilities include building full-stack applications, maintaining data pipelines, and mentoring peers while utilizing AI-accelerated development practices.
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The role serves as a primary technical point of contact for external resources and provides design input across product development. Responsibilities include mentoring lead developers, resolving complex technical issues, and working directly with customers to finalize requirements.
You will own and evolve BI integrations and semantic model converters while working at the intersection of third-party BI ecosystems and the company's query engine. Additionally, you will solve complex cross-protocol challenges and investigate real customer issues to turn recurring problems into durable solutions.
You will own the end-to-end delivery of features for the stablecoin payment rail, including backend Go services and React-based merchant checkout experiences. You will also implement fault-tolerant payment workflows and collaborate with cross-functional teams to integrate these solutions into the broader developer platform.
The Technical Architect manages the technical track on client engagements by defining architecture and ensuring application scalability. They lead technical discussions, mentor development teams, and design custom solutions to meet complex business requirements.
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