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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The Director will define how data, insights, and AI drive decision-making across the company by serving as the analytical hub for eCommerce, Marketing, and Operations. This role is responsible for establishing analytical standards, governing AI-enabled workflows, and transforming complex data into actionable business recommendations.
You will design, implement, and scale the platform's core backend systems and data pipelines while leading end-to-end development for critical features. Additionally, you will define architecture standards for security and identity management while collaborating with cross-functional teams.
Conduct research on Large Multimodal Models to develop expressive, real-time conversational avatars. Partner with the Applied ML team to transition research prototypes into production-ready systems.
Design and implement new functionality while collaborating with the product engineering team to resolve bugs and technical enhancements. Work alongside infrastructure teams to ensure high-availability and performance of backend applications at scale.
The Solutions Engineer will act as a network expert supporting account teams and customers by designing tailored infrastructure solutions. They will lead technical discussions, manage the solution pipeline, and provide product training to both sales teams and clients.
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Join a talent network to be matched with software development opportunities across various industries. Your profile will be shared with companies seeking experienced QA professionals while maintaining your confidentiality.
Join a talent network to be matched with software development opportunities across various industries. Maintain confidentiality while your profile is shared with companies seeking experienced QA engineers.
Develop and maintain user interfaces for web applications using modern front-end frameworks and technologies. Collaborate with designers to ensure style consistency and perform code reviews to maintain high quality and usability standards.
Design, implement, and optimize custom CUDA kernels for NVIDIA GPUs to maximize performance and throughput. Collaborate with AI systems and distributed teams to improve GPU efficiency and scalability for mission-critical AI applications.
The Lead Analytics Consultant will independently deliver data analytics projects and lead consulting teams through complex tasks like dashboard development and platform modernization. They will also manage stakeholder relationships, define project scopes, and contribute to business development and pre-sales efforts.
Develop and execute a comprehensive go-to-market strategy for B2B SaaS products, including positioning, channel selection, and content creation. You will report directly to the founder and iterate on strategies based on performance metrics.
You will be responsible for the entire sales cycle, including lead generation, cold outreach, product demonstrations, and contract closing. Additionally, you will manage customer onboarding to ensure a smooth transition for new clients.
The Lead Software Engineer will provide architectural leadership and set technical standards for a team building Enterprise B2B solutions. This role involves driving AI adoption, mentoring engineers, and leading legacy modernization initiatives while maintaining hands-on technical contributions.
The role involves joining a talent database to be matched with software development opportunities for various global clients. You will provide expert-level AI engineering services while maintaining a professional and agile development process.
Join a talent network to be matched with software development opportunities based on your skills and experience. Maintain confidentiality while your profile is shared with companies seeking expert AI engineering talent.
The Junior DevOps Engineer will maintain and improve AWS cloud infrastructure using infrastructure-as-code and contribute to full-stack application development. They will also manage CI/CD pipelines, support containerized deployments, and collaborate with nonprofit partners to facilitate tool adoption.
The adjunct faculty member will actively engage and motivate students through online instruction while providing constructive feedback on their work. They are also responsible for demonstrating subject-matter expertise and collaborating with the program chair on curriculum improvements.
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Design, develop, and maintain backend services and scripts using Python to integrate the platform with 3rd-party design solutions. Collaborate with cross-functional teams to build data models and ensure the delivery of clean, maintainable code.
You will partner with leadership and product teams to define go-to-market strategies and serve as the technical voice for customers. Additionally, you will design repeatable sales processes, deliver tailored product demos, and act as a bridge between the sales and product departments.
Serve as a technical advisor to bridge the gap between business needs and technical solutions for customers. Manage API integrations, data migrations, and system configurations while providing expert support during the sales and implementation lifecycle.
The role involves defining and developing system-level architectures and behavioural models for high-speed links and mixed-signal subsystems. You will collaborate across teams to translate system requirements into block-level specifications and ensure model-to-silicon correlation.
The role involves reverse engineering software to perform root cause analysis and authoring original exploits for initial access vulnerabilities. You will also implement detection signatures and develop queries for Attack Surface Management to identify vulnerable systems.
You will be responsible for the full software development lifecycle, including designing, implementing, and maintaining scalable features using Kotlin and Spring Boot. Additionally, you will integrate AI coding agents into your workflow to enhance development efficiency and collaborate with the team on frontend and backend tasks.
The AI Software QA Engineer is responsible for testing, validating, and ensuring the quality of AI-enabled systems and backend APIs. They will design and execute automated test cases while collaborating with developers and AI engineers in an agile environment.
Develop and maintain high-load payment gateway services, including API design and integration with external providers. Collaborate with cross-functional teams to ensure system security, performance, and compliance with PCI DSS standards.
You will manage the operational and financial backbone of IT infrastructure services by handling data mapping, invoicing, and systems integration. Additionally, you will oversee the recruitment lifecycle for IT technicians and maintain standard operating procedures for field service administration.
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Architect and build full-stack, enterprise-grade platforms using modular agentic workflow patterns. Design and implement intelligent workflows while ensuring system security, scalability, and seamless enterprise integration.
You will spearhead the development of innovative AI-driven solutions and deploy scalable products leveraging LLMs to support the payment orchestration platform. Additionally, you will design and optimize prompts while collaborating with cross-functional teams to integrate AI features into existing payment workflows.
You will drive business development by positioning the Vicoland model as a modern alternative to traditional consulting and system integrators. This involves managing the full sales cycle, building client relationships, and collaborating with Vico Leads to ensure successful project delivery.
The Research Engineer will translate complex research hypotheses into tangible AI applications and build robust infrastructure for scientific experimentation. They will also lead scientific publications and collaborate across multidisciplinary teams to integrate theoretical research into practical business solutions.
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