3,828 Software Engineering jobs available for remote work from home. Apply for positions such as Senior Data Practice Lead, Senior Platform Engineer (Cloud & AI Platform)- Remote within US, Technical Product Marketing Manager, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead the data practice by combining hands-on data engineering delivery with technical leadership in client-facing commercial meetings. Responsible for defining internal data standards, mentoring engineers, and building the company's external reputation in the data community.
Design and maintain scalable cloud platform infrastructure using Infrastructure as Code to improve developer productivity and reliability. Lead the integration of AI-powered development tools and agentic engineering capabilities across the organization.
Translate AI infrastructure pain points into compelling messaging and develop persona-driven value propositions for data scientists and AI builders. Lead go-to-market strategies and foster open-source community engagement to drive adoption of Anaconda's AI-native development platform.
Design and architect scalable full-stack solutions while writing clean code in React and Node.js. Provide technical leadership through mentorship, code reviews, and the definition of long-term technology strategies.
Lead the execution of large, high-impact projects and define the technical vision for the platform's growth. Develop and ship full-stack components to improve the developer experience and mentor junior engineers within the team.
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The role involves owning and evolving a core static analysis platform to determine vulnerability reachability and exploitability. Key duties include shaping analysis architecture, expanding language support, and leading performance initiatives for enterprise-scale codebases.
Develop and operate scalable AI-powered products and MLOps environments to transform the commercial real estate industry. Lead the entire product lifecycle from Proof of Concept and MVP development to full-scale commercial deployment.
Design and maintain highly available cloud infrastructure across AWS, GCP, and Azure to support blockchain services. Automate operational tasks and improve system reliability through CI/CD pipelines and observability tools.
The role involves analyzing business and technical requirements to design, implement, and test scalable and secure software solutions. Responsibilities include developing high-quality code, optimizing algorithmic solutions for financial institutions, and collaborating in an Agile environment.
Design and develop backend services for card transaction processing, fraud detection, and card program management. Collaborate with cross-functional teams to build scalable, compliant financial infrastructure and event-driven services.
Design and scale robust AI systems and agentic workflows to automate compliance and trust-critical enterprise workflows. Develop generalizable AI capabilities including multi-step reasoning and evidence grounding while ensuring outputs are traceable and auditable.
Lead high-impact engineering initiatives for a personalized, AI-guided educational platform focusing on discovery and payment workflows. Partner with leadership to align on technical strategy and mentor engineers in AI-native development practices.
Design and build backend services and platform infrastructure while driving the reliability and observability of cloud-native systems. Lead CI/CD pipeline evolution and collaborate on incident response and postmortems to improve operational health.
Define and evolve technical architecture and standards to ensure scalable and reusable capabilities across teams. Lead the end-to-end delivery of key features and architectural improvements while mentoring engineers and championing AI-assisted development tools.
The role involves leading the end-to-end technical success of complex space missions from initial formulation and architecture trades through on-orbit operations. The lead serves as the primary technical interface for customers and coordinates cross-functional teams to ensure mission requirements and performance goals are met.
Develop scalable platforms and internal tooling to power Revenue Cycle Management operations, including payments and claims submission. Collaborate with engineering and business stakeholders to improve the efficiency and reliability of critical business functions.
The role serves as an embedded security representative within the Falcon team to own the security architecture for AI agents and identity end-to-end. Key duties include writing production code, defining permission boundaries for MCP integrations, and aligning AI product design with enterprise security standards.
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![CI&T is hiring for remote [Job-30691] AI Orchestrator (Squad Leader), Brazil](/assets/96be70cc-b65f-449c-9299-d619efa70efb.png){kind=small}
Lead a multidisciplinary squad by orchestrating AI agents across the entire Software Development Life Cycle to ensure efficient delivery. Coordinate workflows, monitor AI output quality, and facilitate agile ceremonies to align human and AI collaboration.
Design and implement technical pipelines for LLM post-training, evaluation, and model improvement. Collaborate with research scientists and clients to build robust infrastructure for reproducible experimentation and model assessment.
Develop core product features using ETL and GraphQL to support data processing and retrieval. Design and implement backend APIs and maintain ETL pipelines to enhance product stability and user experience.
The role focuses on designing and developing enterprise software applications with a primary emphasis on frontend Angular expertise. Responsibilities include collaborating with cross-functional teams to deliver scalable, secure solutions and mentoring other developers through code reviews.
Lead the design and implementation of agent-native AI products using multi-agent orchestration and RAG on Databricks. Build scalable ETL pipelines and deploy machine learning models as tools within the orchestration layer.
The Principal AI Engineer will lead the technical design, governance, and deployment of AI/ML solutions across a global business portfolio. This includes building reusable internal tooling, establishing security standards, and mentoring engineering teams to ensure scalable production patterns.
Lead the technical evolution and modernization of software applications by designing scalable architectures and establishing engineering standards. The role involves a balance of hands-on coding, strategic planning, and mentoring engineering teams to accelerate productivity.
Lead the organization-wide technical strategy for AI adoption and the AI-native transformation roadmap. Define architecture patterns, tooling choices, and safety guardrails for autonomous AI agents across the codebase.
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Design and build an events-first observability foundation, including high-throughput ingest and query pipelines. Develop instrumentation libraries and SDKs to standardize telemetry across the organization while integrating AI agents into production investigation.
The Lead FDE architects and deploys production-grade AI and platform solutions for strategic institutional partners, bridging the gap between product demos and embedded deployments. They write production code, design agentic AI workflows, and translate field insights into the core product roadmap.
Implement and extend systems that transform payment instructions into immutable on-chain records using a ZKsync-based Layer 2 network. Develop backend services, institutional custody integrations, and Solidity smart contracts to support real-time digital money movement.
Lead and build the Managed Gateways SRE team in Toronto, ensuring 99.99%+ uptime and operational excellence for critical managed services. The role involves architecting scalable cloud-native systems and managing the end-to-end operational lifecycle from monitoring to incident response.
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