22,665 Cloud jobs available for remote work from home. Apply for positions such as AI/ML Engineer I, Consultor(a) SAP BTP Sênior, Property Services Coordinator, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The AI/ML Engineer will develop, integrate, and maintain AI/ML components within secure, production-grade applications for federal customers. They will also troubleshoot system behavior, resolve defects, and optimize model performance across AI-driven workflows.
Design, develop, and maintain complex integration flows using SAP Cloud Integration and manage APIs via SAP API Management. Implement cloud-based applications using CAP and RAP frameworks while ensuring secure connectivity and platform performance.
The Property Services Coordinator oversees building operations by managing work orders, service contracts, and vendor relationships. They also provide administrative support for health, safety, and financial reporting to ensure efficient property maintenance.
Lead and develop a multidisciplinary network security team while overseeing the operation and evolution of firewall, VPN, and edge security infrastructure. Collaborate with cross-functional teams to implement automation, define security standards, and manage vendor relationships to ensure high performance and resilience.
Lead architecture and technology strategy for complex mobile and cross-platform systems, scalable content personalization and delivery, and distributed services. Guide multi-team engineering initiatives, establish quality and security standards, contribute resilient code, support production operations, and mentor engineering staff.
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Build and expand strategic relationships with technology partners, generating joint pipeline through go-to-market campaigns, partner enablement, and coordinated sales activity. Map partner decision-makers, develop technical pre- and post-sales practices, and manage partner selection, performance, contractual reviews, and policy compliance.
Design, develop, and execute performance testing strategies and workloads, then analyze test results, telemetry, and infrastructure data to identify bottlenecks and recommend improvements. Maintain performance testing tools and frameworks, assess scalability and capacity, and collaborate with Engineering, Quality Engineering, Product, and SRE teams to improve platform performance and guide service-level performance ownership.
Design, implement, and maintain scalable AWS infrastructure while managing Kubernetes environments and CI/CD pipelines. Contribute to cloud automation, observability, security, and production troubleshooting.
Create high-quality visuals for different media, including simple animations and video edits, and contribute through curation, styling, photography, and AI-assisted creative work. Collaborate with the team to deliver work on time, maintain organized files and records, and develop fresh creative ideas.
Design, build, deploy, and optimize AI and generative AI solutions for healthcare platforms, including machine learning, multimodal LLMs, predictive analytics, natural language processing, and image processing. Integrate solutions with existing systems, manage model evaluation and monitoring, apply security and regulatory safeguards, and identify opportunities to automate workflows.
Design, develop, deploy, and optimize AI solutions—including generative AI, NLP, and predictive models—for healthcare platforms, integrating them into existing systems and processing large healthcare datasets. Monitor model performance, apply MLOps practices, ensure regulatory and ethical compliance, and identify opportunities to automate workflows and improve operational efficiency.
Lead and develop a team of approximately 15 Home Concierge Specialists through regular call reviews, individual coaching, performance management, and clear follow-up. Own team sales and service results while managing daily operations, escalations, scheduling, new-hire ramp, and hiring recommendations.
Design, engineer, and integrate cloud-based services, infrastructure, and end-to-end solutions that meet mission and technical requirements. Analyze system performance and resolve functionality, configuration, and integration issues while improving the stability, scalability, reliability, and sustainability of cloud systems.
Provide pre-sales technical consultation, solution design, demonstrations, and proof-of-concepts, and lead deployment of enterprise wired, wireless, cloud, and security solutions. Support customers and channel partners after the sale, relay customer feedback to Product Management, and promote secure, cloud-managed networking adoption.
Develop and execute regional channel plans, recruit and enable resellers and solution partners, and manage partner pipelines, forecasts, and account plans. Drive partner-sourced and partner-influenced revenue through co-selling, joint marketing, partner enablement, and collaboration with internal sales and cross-functional teams.
Generate new subscription revenue by prospecting, building a qualified pipeline, and selling Granicus SaaS solutions to state government agencies across the assigned territory. Lead executive-level discovery and complex, multi-stakeholder sales cycles, qualify opportunities using MEDDPICC, and manage territory strategy, forecasts, and account growth.
Own the maintenance, supportability, defect resolution, releases, and customer commitments for Windward’s production software, while making technology decisions and setting standards for products transitioning into maintenance. Lead six developers and oversee quality assurance through its lead, managing delivery, team development, performance, planning, and the adoption of organizational AI standards.
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Identify AI opportunities across products and translate business needs into secure, scalable solution architectures, roadmaps, and implementation plans. Guide governance and responsible AI adoption, support teams through workshops and documentation, and contribute to AI proofs of concept, pilots, and production deployments.
Administer, optimize, and evolve virtual desktop environments, including applications, user profiles, master images, policies, printing, security updates, and performance monitoring. Troubleshoot advanced incidents, support technology projects, collaborate with infrastructure and other IT teams, and maintain technical documentation and procedures.
Lead a multi-team technical program covering product integration and migration from AWS to Google Cloud, translating high-level goals into detailed workstreams, milestones, dependencies, and delivery plans. Coordinate engineering, testing, data, cloud, and product teams; manage risks and blockers; and report progress and decisions to stakeholders and senior management.
Collect and compare component, design, testing, and supply-chain information to support value engineering proposals and justify component selections. Maintain proposal database records, prepare proposal documents and charts, and lead internal and customer review meetings.
Lead technical and management proposal development for DHA, VA, and other federal healthcare opportunities, translating complex IT solutions into clear, compliant, mission-focused narratives. Collaborate with capture, proposal, and technical teams to shape solutions, develop win themes, and support proposal reviews and timely submissions.
Lead and modernize Autodesk’s Trust Risk Program, including its strategy, operating plans, metrics, and AI-enabled workflows across security, privacy, trusted AI, resilience, and third-party risk. Align executives and cross-functional teams on risk-based priorities, mitigation ownership, delivery plans, program communications, and measurable outcomes.
Design, develop, and optimize SQL Server database systems for high-transaction applications, ensuring data integrity, performance, and scalability. Partner with architects, engineering, and DevOps teams to evolve AWS data architecture, troubleshoot database issues, and prototype new technologies.
Lead observability design and OpenTelemetry telemetry pipelines across products, platform services, data pipelines, and internal systems, while establishing service-level indicators, objectives, error budgets, dashboards, alerts, and runbooks. Build end-to-end observability for AI and agentic workflows, including tracing, quality and cost signals, and privacy controls, and support on-call response, failure testing, and capacity planning.
Operate and extend existing analytical platform capabilities, integrations, governance controls, and self-service tooling while following established patterns. Monitor platform health, participate in on-call incident response, and document work for a clear contract handoff.
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Design, build, and optimize scalable Azure data and AI platforms, including batch and streaming pipelines, feature stores, and production workflows for machine learning models. Ensure data quality, governance, security, and reliability while developing reusable engineering frameworks, supporting production systems, and deploying responsible AI solutions.
Design and optimize CI/CD pipelines, secure Azure infrastructure, and MLOps/LLMOps workflows for software and AI workloads. Manage containerized deployments and observability, integrate AI-assisted development and security tools, and collaborate across teams to improve reliability, release workflows, and cost efficiency.
Build and operate backend services, Kafka streaming pipelines, and APIs that process user behavior data and provide behavioral models to New Relic's classic and agentic experiences. Participate in architecture and on-call operations, improve operational automation, and evaluate AI coding tools in the engineering workflow.
Understand business processes across multiple systems and define integration requirements for Microsoft Dynamics 365 solutions. Bridge business and technical teams by documenting and supporting integrations, gathering requirements, and writing user stories with clear acceptance criteria.
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