22,650 Cloud jobs available for remote work from home. Apply for positions such as Sales and Delivery Architect, Director (L40), Data Engineering Lead, Marketing Automation Systems Analyst, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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Lead client advisory, pre-sales solutioning, and technical delivery for complex Databricks data transformation programs, guiding architecture, implementation, and technical governance. Build client relationships, reusable platform assets, and team capability through clear communication, thought leadership, and mentoring.
Lead technical design, engineering standards, and delivery quality for enterprise data products, including dbt transformation models and reliable, cost-efficient AWS pipelines. Guide distributed internal and partner teams through design reviews, coaching, data quality practices, production issue resolution, and alignment with business and enterprise requirements.
Administer and optimize the global Eloqua platform, building and maintaining campaigns, nurture programs, lead management workflows, integrations, and marketing assets. Ensure data quality and compliance, troubleshoot platform issues, support and train marketers, and establish scalable standards and documentation across teams.
Provide expert technical support for PAC hybrid computing efforts using knowledge of commercial and government cloud environments and relevant academic research. Advise the Government on achieving its cloud computing objectives through high-level recommendations and guidance on cloud technologies and services.
Manage configuration for developmental and operational systems, including establishing and maintaining baselines, implementing version control, and conducting change control and configuration audits. Coordinate review boards and change requests, and work with software teams to validate configuration processes in CI/CD pipelines and software integration frameworks.
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Provide functional SME support and design, configure, troubleshoot, and optimize Oracle Fusion Cloud Finance solutions across Accounts Receivable, Accounting, Advanced Collections, and Enterprise Contracts. Analyze client requirements, resolve application and PaaS integration issues, and support implementation, testing, deployment, enhancements, and production operations.
Own and evolve Finom's visual identity, setting creative direction and ensuring consistent, high-quality brand execution across marketing, product, and other touchpoints. Lead and mentor the Marketing Design team, build scalable workflows and AI-enabled production systems, and direct projects from concept through delivery.
Lead client technology strategy discussions, develop roadmaps and budgets, and create Statements of Work for technology initiatives. Assess client environments, recommend infrastructure and cloud solutions, and coordinate with engineering, sales, and project teams to support successful delivery.
Define, execute, and maintain an effective automated testing strategy across functional, integration, contract, performance, and load testing, including suitable test data and approaches for areas where automation has limitations. Coach and guide colleagues, improve tools and processes, promote team-wide quality ownership, and collaborate with product and engineering teams to deliver and operate reliable software.
Lead the IA3 portfolio and oversee innovation programs from ideation through deployment, aligning roadmaps, resources, and delivery with enterprise priorities. Coordinate cross-functional teams and stakeholders, manage dependencies and risks, and communicate portfolio progress while supporting AI/ML and analytics product development.
Architect, deploy, and operate highly available multi-cloud infrastructure across AWS and Azure, including Kubernetes platforms, Linux systems, data services, and infrastructure-as-code workflows. Build CI/CD automation, improve observability, security, and performance, support incident response and on-call operations, and document platform standards.
Own the data transformation layer by building and maintaining scalable dbt and SQL models, setting standards for modeling, testing, monitoring, and data quality. Partner with business stakeholders and deliver consistent, reliable data products through BI tools and reverse ETL systems.
Build and scale the partner and reseller ecosystem across the region, developing relationships with resellers, managed service providers, and DevOps consultancies. Generate a pipeline of partner-sourced opportunities and collaborate with sales, solutions engineering, marketing, product, finance, and legal teams to drive revenue.
Partner with Account Executives to shape technical sales strategies, uncover customer needs, demonstrate Datadog solutions, and lead technical evaluations through to successful adoption. Build customer champions, document opportunity progress, provide product feedback, and collaborate with Product, Support, and go-to-market teams to resolve technical blockers.
Serve as the senior technical focal point for EMEA customer issues, resolving complex escalations and coordinating with customers, Product Management, Engineering, and other teams. Develop subject-matter expertise, mentor support colleagues, share customer feedback, identify recurring issues, and contribute to support processes and internal projects.
Build, maintain, and secure scalable AWS infrastructure, while developing infrastructure-as-code, automation, and self-service tools. Improve platform reliability through observability, monitoring, incident response, security practices, and collaboration with engineering, security, and DevOps teams.
Build and ship AI-powered products, scalable Python and FastAPI backend services, and data pipelines, taking features from initial idea through deployment and production. Make architectural decisions, evaluate practical uses for generative AI, and own the reliability, observability, and performance of the systems you build.
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Own complex customer-impacting technical issues, investigate production problems using logs, metrics, and SQL, and coordinate incident response through resolution. Communicate proactively with customers and internal teams while improving troubleshooting documentation, operational processes, and support practices.
Design and maintain analytical data structures and scalable ETL/ELT pipelines to produce reliable business metrics, detect unusual customer spending behavior, and automate business-rule-based triggers. Work with technical and business stakeholders and Data Science colleagues to validate requirements, build analytical features, ensure data quality, and document and evolve solutions through agile sprints.
Conduct security-focused design reviews across applications, systems, and networks, and partner with development and infrastructure teams to remediate identified risks. Guide secure product design and development, advise on security practices, support incident response and remediation, and help ensure products and AI use meet security and compliance requirements.
Lead EMEA territory and named-account sales strategy, manage and develop a regional sales team, and drive pipeline generation and high-value enterprise deals across scientific and process industries. Position the company’s R&D-to-production software portfolio, build strategic customer and partner relationships, and collaborate across Siemens and internal teams to achieve regional growth.
Lead the technical vision and delivery of scalable, high-throughput data systems and a self-service data platform, partnering with AI, ML, analytics, and other teams. Recruit, mentor, and develop the engineering team while setting data quality and governance standards, prioritizing projects, and balancing technical debt with business goals.
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The GCP Cloud Engineer will architect and manage cloud infrastructure while leading a dedicated AWS-to-GCP migration workstream. Responsibilities include deploying resources via Terraform, managing GKE workloads, and automating CI/CD pipelines using Azure DevOps.
Design, develop, and maintain secure cloud-native applications, including user interfaces, backend services, REST APIs, and microservices, using .NET Core, Angular/TypeScript, and Go. Deploy containerized applications on Azure Government and contribute to DevSecOps pipelines, ensuring security, compliance, scalability, and performance throughout delivery and operations.
Validate AI agent investigations, assess security risks, and serve as the technical escalation point and mentor for junior analysts. Hunt for threats in customer environments, support monitoring and incident response, communicate findings to customers, and help improve team processes and the security platform.
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