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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Design complex security architectures for government, financial services, and private sector clients to mitigate digital risks. Embed security thinking early in the delivery lifecycle by guiding teams on secure-by-design practices and upskilling engineers.
Deploy and operationalize AI-powered workflow solutions and agentic AI integrations within client ServiceNow environments. Contribute to the development of NewRocket's AI intellectual property and platforms while providing technical consulting to stakeholders.
Lead the creation and optimization of advanced machine learning algorithms to enhance advertising effectiveness and ROI. Own the end-to-end development of production-grade ML models and collaborate with Data Engineers for system integration.
Embedded within delivery teams to provide real-time engineering rigor, reviewing technical decisions and code to ensure enterprise scalability. Bridges the gap between business-built AI capabilities and production-ready software through integration design and data governance.
Own the end-to-end technical direction for offline video generation, bridging the gap between pre-training and post-training. Partner with research leadership to define long-term roadmaps and accelerate the delivery of research capabilities into the final product.
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Provide executive leadership for Quality Assurance and Regulatory Compliance within the Clinical Pharmacology Services business unit. Lead the design and implementation of audit, inspection readiness, and quality oversight programs across global clinical pharmacology units and GMP pharmacies.
Lead the end-to-end delivery of AI and automation initiatives to scale CX operations and reduce manual friction. Build and maintain technical integrations and AI agents while documenting systems and tracking success metrics.
Modernize legacy services using AI to analyze codebases and implement migration patterns like the strangler fig. Build AI-powered development infrastructure, including MCP servers and automated CI/CD pipelines for code review and testing.
Review and refine AI-generated marketing strategies, content, and analyses to ensure they meet best-in-class industry standards. Develop real-world case studies and provide structured feedback to guide AI models in understanding complex marketing concepts.
Review and refine AI-generated legal and notarial content to ensure accuracy, completeness, and compliance. Create real-world scenarios and provide structured feedback to improve AI models' understanding of notarial workflows.
Review and refine AI-generated outputs related to treasury analysis, cash management, and risk assessment. Develop real-world case studies and scenarios to improve how AI systems interpret treasury best practices.
Lead the technical vision and architecture of the Kraken Pro mobile application while driving engineering excellence across the trading platform. You will mentor engineers and partner with Product and Design teams to deliver high-performance, user-facing features.
Design and build a governed enterprise AI platform including orchestration, model routing, and RAG layers. Manage the full stack from tool selection and deployment to security, governance, and enabling non-engineers to ship workflows.
Lead the design and development of scalable data processing and persistence components within agile teams. Provide technical leadership, enforce development best practices, and manage the performance and career growth of junior staff.
The role involves bridging the gap between business needs and technical solutions to ensure customer software meets user requirements. Responsibilities include articulating problems to stakeholders and facilitating the design of cost-effective software solutions.
The role involves ensuring customer solutions meet business and user needs by articulating problems and processes to both technical and business stakeholders. You will facilitate the analysis and design of cost-effective software solutions and manage the product backlog.
The role involves leading analysis activities to translate complex business needs into actionable digital solutions and user stories. You will facilitate workshops and manage backlogs to ensure solutions meet both user and business requirements.
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Build advanced AI solutions using machine learning, generative, and agentic AI technologies while driving the adoption of AIOps and cloud-native architectures. Act as a technical mentor to junior developers and collaborate with customers to translate business challenges into ethical AI solutions.
Lead the design and automation of modern digital service platforms, ensuring they are scalable, secure, and performant. Collaborate with multi-disciplinary teams to deploy high-quality software and mentor junior engineers.
Design and apply industry-leading security practices for diverse customer platforms and services. Manage, coach, and develop a small team of staff while ensuring Agile delivery teams follow secure software development journeys.
Design and develop large-scale data processing and persistence software components within agile teams. Provide technical leadership, mentor team members, and ensure software meets non-functional requirements and operational readiness.
Lead teams in developing high-quality technical solutions and collaborate with customer architects to agree on technical designs. Manage and coach staff while overseeing employee performance and career development.
Lead teams in designing, automating, and optimizing modern digital service platforms while providing technical direction and mentorship. Collaborate across engineering and security functions to deploy high-quality software and foster a DevOps culture.
Lead the development of high-quality Power Platform solutions while managing and coaching a small team of engineers. You will provide technical direction, interact with customers, and balance technical decisions with commercial constraints.
Define and implement a cloud security framework across Azure, AWS, and SaaS environments. Collaborate with SOC and GRC teams to manage threat detection, incident response, and compliance requirements.
Lead the delivery of large-scale, production-grade AI solutions and set the strategic direction for AI and data science across the business. Mentor a community of data scientists and AI engineers while managing C-level stakeholder relationships to drive business value.
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Design and implement secure practices across platforms and services while collaborating with Agile delivery teams. Lead, coach, and develop a small team of staff to solve complex security challenges.
Architect and deliver advanced AI solutions using machine learning and generative AI while driving the adoption of AIOps and cloud-native architectures. Provide technical leadership and mentorship to a small team, managing performance and career development.
Lead and manage cross-functional teams of machine learning engineers and data scientists to deliver ML-driven product capabilities. Accountable for technical direction, talent growth, and strategic partnership with product managers to balance short- and long-term goals.
Research and develop state-of-the-art voice synthesis models including TTS and voice cloning. Collaborate with cross-functional teams to integrate these models into production-ready pipelines for expressive and natural-sounding speech.
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