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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You will lead and oversee the organization’s Cloud Security team, enforcing security architecture, policies, and controls to safeguard cloud platforms. This role involves managing cloud posture, vulnerability assessments, and ensuring compliance with industry frameworks like SOC2, NIST, and HIPAA.
You will architect storage and compute solutions while hardening training and inference pipelines to ensure reliable, reproducible, and cost-efficient ML systems. Additionally, you will collaborate with data scientists and engineers to productionize models and establish best practices for the ML platform.
You will lead and oversee the organization’s Cloud Security team, enforcing security architecture, policies, and controls across cloud platforms. This role involves managing cloud posture, vulnerability assessments, and ensuring adherence to global security frameworks like SOC2, NIST, and HIPAA.
Develop and integrate embedded software for safety-critical systems while collaborating with cross-functional teams. Troubleshoot and debug software on target hardware within lab environments throughout the full development lifecycle.
You will design and maintain resilient, low-latency ML backend systems to productionize computer vision models for edge devices and cloud applications. Additionally, you will build scalable data pipelines and monitoring infrastructure to ensure model performance, reliability, and continuous iteration at fleet scale.
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You will act as the quality lead for a product squad, owning test coverage, automation, and validation standards for a large-scale marketplace. Your role involves writing automated tests, managing releases, and improving deployment processes while the platform migrates between cloud providers.
You will design, build, and deploy security controls and guardrails across cloud-native platforms, including AI security solutions. Additionally, you will automate security processes as code and conduct risk audits to ensure platform resilience.
The Service Engineer will perform start-up, commissioning, maintenance, and troubleshooting for measurement and analyzer systems across Egypt. They will also build strong customer relationships and ensure service execution meets performance KPIs and safety standards.
The Business Intelligence Developer will generate and maintain data and analytic solutions to transform raw data into actionable knowledge. They will collaborate with stakeholders to develop reporting applications, validate data integrity, and streamline analytics processes.
Coordinate and prioritize security testing for LLM-based applications, including prompt injection, jailbreak, and data leakage scenarios. Monitor and analyze security alerts from AI-specific controls like LLM Firewalls and AI Gateways to ensure robust protection.
The SDET II will design and execute comprehensive test suites for Oracle Fusion Financial modules while collaborating with cross-functional teams to ensure scalable QA practices. They are responsible for automating test cases, conducting integration testing, and providing accurate test documentation and reports.
You will design and implement complex technical solutions while owning large features from design to completion. Additionally, you will mentor engineers and drive technical strategy within your autonomous team.
You will support the CRM Manager with daily operational tasks, data maintenance, and the analysis of CRM-related requests. Additionally, you will contribute to testing and improving internal processes while collaborating across various teams.
You will own end-to-end product messaging and build a content engine that bridges the gap between deep product knowledge and market-facing communication. You will collaborate with product, sales, and customer success teams to create narratives and assets that drive adoption of agentic AI in engineering.
The Automation Test Engineer is responsible for implementing complex QA programs and establishing software quality standards throughout the SDLC. They will create master test plans, develop automated test scripts, and oversee defect tracking to ensure system applications are free from defects.
Develop scalable, AI-driven enterprise applications on SAP BTP by integrating generative AI into core business processes. Manage data pipelines and design agentic user interfaces while maintaining high-performance code standards using Gitflow strategies.
You will lead the technical direction for data architecture, scaling high-throughput pipelines and real-time matching signals. You will also partner with engineering and product teams to enable AI-driven experiences and establish robust data governance standards.
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The Solutions Architect leads technical discovery, design, and governance for complex enterprise AI and software engagements. They provide technical direction to cross-functional teams while ensuring solutions align with business outcomes and Siemens standards.
The Principal Solutions Architect leads technical discovery, solution definition, and architecture governance for complex enterprise engagements. They provide day-to-day technical direction to delivery teams while serving as the primary technical advisor to customers throughout the project lifecycle.
You will design, develop, and maintain backend web services and AI-based solutions while ensuring clean, scalable, and extensible code. You will also collaborate cross-functionally with AI, product, and DevOps teams to meet business objectives and mentor team members.
The Product Manager will develop and own the AI product strategy and multi-year roadmap to drive customer outcomes and business results. They will collaborate with cross-functional teams, including software engineers and designers, to build and release new AI agents and features.
You will lead the technical direction for data architecture, scaling, and platform reliability while building production-grade pipelines. Additionally, you will partner with engineering and product teams to enable machine learning at scale and establish robust data governance standards.
The Lead Software & Production Engineer is responsible for ensuring the stability, reliability, and operational excellence of critical business applications. This role leads production support activities, manages major incidents, and drives continuous improvement through root cause analysis and automation.
You will own the technical direction and architecture for verification services, ensuring they remain fast, safe, and compliant. You will also mentor senior engineers and drive the removal of recurring system failures through robust design and patterns.
You will build and maintain reliability for AI-native software using a modern tech stack while actively utilizing coding agents for development. You will also engage directly with users to understand their pain points and iterate on solutions based on their feedback.
Design, develop, and maintain scalable backend services and APIs using Kotlin, Java, and Spring Boot within a microservices architecture. Collaborate with cross-functional teams to translate business requirements into effective technical solutions while optimizing system performance.
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You will develop and deploy machine learning and AI solutions to improve automated outreach and product quality. Additionally, you will collaborate with cross-functional teams to scale models in production and mentor other engineers.
The Technical Solutions Engineer manages the end-to-end post-order process, serving as the primary point of contact for Data Centre clients and project teams. They coordinate manufacturing, logistics, and commissioning activities while ensuring accurate technical submittals and sales forecasting.
The developer will perform break-fix incident resolution by troubleshooting data discrepancies across SAP BW and HANA environments. They will also manage and optimize SAP extractors, HANA calculation views, and ABAP code to ensure system performance.
You will lead statistical input for clinical study design, develop SAPs, and perform sample size calculations. Additionally, you will deliver high-quality statistical outputs using SAS and collaborate cross-functionally with data management and study teams.
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