Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Lead the architectural design and global template governance for SAP MII and ME landscapes within the Aerospace & Defense sector. Drive the end-to-end implementation of shop-floor operations and ensure strict compliance with defense regulations like ITAR and EAR.
Lead the design and delivery of scalable Digital Experience and Marketing solutions for global enterprise customers using Adobe Experience Manager. Define architecture strategies and lead multi-functional teams to align technical solutions with client business objectives.
Design, develop, and maintain ETL data integration processes using Python and Azure Synapse Analytics to ensure data accuracy. Collaborate with cross-functional teams to build scalable data storage structures and optimize performance to meet SLAs.
Design and implement cloud-based data architecture solutions to optimize storage, retrieval, and processing for clients. Collaborate with cross-functional teams to translate business requirements into effective data strategies and mentor junior team members.
Design and deliver technical curriculum and enablement sessions for field architects, partners, and customer administrators. Build hands-on labs and recorded training modules to equip teams with the technical depth needed to win enterprise deals.
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Lead the design, deployment, and operationalization of Arista networking solutions for large-scale cloud customers in the Pacific Northwest. Balance post-sales technical leadership with strategic pre-sales support, including POCs and technical training.
The role involves tuning ClickHouse queries, administering database settings, and maintaining data models and dashboards in Looker. Additionally, the engineer will manage infrastructure for Kafka, Zookeeper, and Kubernetes to ensure data quality and system performance.
Administer and optimize security posture across multi-cloud GCP and AWS environments, focusing on IAM, logging, and threat detection. Manage Kubernetes security hardening and implement secure integrations for AI/LLM services within the cloud infrastructure.
Define and evolve the architectural direction for platform services and shared engineering capabilities while remaining hands-on in software development. Lead the design and implementation of scalable, secure, and resilient Azure-based solutions to improve developer experience and operational efficiency.
Design and build scalable cloud-native applications on AWS, covering the full stack from frontend interfaces to backend services. Lead technical architecture for serverless and container-based solutions while mentoring engineers in regulated environments.
The Sales Engineer provides technical pre-sales support, including demonstrations and POVs, for Thales' Application Security portfolio. They collaborate with Regional Sales Managers and partners to align technical solutions with customer requirements and drive revenue.
Architect and evolve The SOURCE platform from an internal system into a scalable SaaS product. Translate creative workflows and brand logic into technical systems while integrating AI and automation tools.
Review and evaluate AI-generated outputs for accuracy, clarity, and cultural appropriateness in Luxembourgish. Provide structured annotations and corrections to improve AI model performance across text and multimedia content.
Design, build, and maintain scalable cloud infrastructure on GCP using Kubernetes and Terraform. Establish observability, manage CI/CD pipelines, and lead incident response to ensure system reliability and security.
Design and deploy AI-powered internal applications, copilots, and scalable workflow accelerators using Generative AI. Build reusable AI components and retrieval pipelines while maintaining statistical models to support organizational automation and optimization.
Lead the end-to-end delivery of high-priority strategic AI initiatives and drive AI adoption across the organization. Coordinate cross-functional stakeholders to align resources and ensure data-driven decision making is embedded in product delivery.
Responsible for the installation, troubleshooting, and preventative maintenance of Beckman Coulter equipment to ensure optimal performance. This includes providing technical training to customers and maintaining accurate service records using business systems.
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Design and develop software to solve Workload Identity challenges from prototyping to production. Act as the technical lead by guiding the team, mentoring engineers, and collaborating with stakeholders to define technical priorities.
Conduct comprehensive safety engineering analyses, including PHAs, SHAs, and SOHAs, to ensure compliance with MIL-STD-882E for the SLCM-N program. Integrate safety requirements across the entire DoD acquisition lifecycle and provide oversight for vendor safety activities.
Transform data into actionable insights by building self-service dashboards and data models to support data-driven decision-making. Collaborate with stakeholders to translate business requirements into BI products and provide ad-hoc analysis for leadership.
Design and implement intelligent conversational agents using agent-based architectures and LLMs. Integrate these agents with corporate systems, REST APIs, and cloud environments like GCP Vertex AI while ensuring scalability and quality.
Design, build, and maintain scalable backend services and distributed systems using Java and Python. Take full ownership of features from design to optimization while leveraging AI-assisted tools to accelerate delivery.
Review and refine AI-generated content regarding eIDAS2 and Qualified Electronic Signatures to ensure technical and regulatory accuracy. Develop realistic scenarios and workflows to train AI systems on digital identity and trust services.
Review and enhance AI-generated content related to employer branding, EVP, and candidate experience to ensure strategic clarity. Draft authentic branding scenarios and identify gaps in AI-produced materials to improve the model's understanding of branding processes.
Review and enhance AI-generated content regarding infrastructure optimization and systems architecture to ensure technical accuracy. Develop practical use cases and provide actionable feedback to improve how AI reasons about operational challenges.
Review and refine AI-generated content regarding eIDAS2 and Qualified Electronic Signatures to ensure technical and regulatory accuracy. Develop realistic scenarios and workflows to train AI systems on digital identity and trust services.
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Review and refine AI-generated content and workflows related to system operations and automation. Develop real-world use cases and provide actionable feedback to improve AI reasoning in operational scenarios.
Review and refine AI-generated content and workflows related to system operations and automation. Develop real-world use cases and risk assessments to improve how AI models reason about operational challenges.
The role involves interacting with stakeholders to gather and analyze business requirements and translating them into functional specifications and user stories. The analyst will oversee the implementation of Power Platform solutions, conduct UAT, and maintain project documentation.
Design, develop, and maintain scalable data pipelines to integrate data from various source systems like ERP and MES. Collaborate with architects and scientists to transform raw data into high-quality data products for business decision-making.
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