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 architect and develop key features for the Android application while ensuring high performance and reliability at scale. You will collaborate with AI, design, and product teams to iterate on features and improve the overall user experience.
Own and scale the connector ecosystem by prioritizing and managing third-party API and app integrations for AI features. Collaborate with engineering teams to define product requirements, evaluate performance, and drive the roadmap for AI-powered tools.
You will own, build, and scale your own startup in the SaaS sector while receiving intensive coaching and support. You will iterate your product to achieve product-market-fit and build out your sales and marketing functions.
Design and implement a mobile test automation strategy from scratch while performing regular manual testing for mobile and wearable applications. Build automated coverage for critical user flows and maintain test infrastructure to ensure product quality.
You will be responsible for planning, executing, and optimizing end-to-end CRM campaigns across multiple channels to drive player engagement and retention. This involves leveraging data insights for segmentation and collaborating with cross-functional teams to align campaigns with business objectives.
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You will design and ship production-grade systems that integrate software engineering, data infrastructure, and AI-powered features. This includes building secure full-stack product features, creating reliable data pipelines, and implementing safe agentic workflows with strong observability.
The Data Engineer will own and deliver data engineering tasks, integrations, and marketing systems while troubleshooting pipeline and data quality issues. They will collaborate cross-functionally to transform data across various platforms and support payment orchestration flows.
The Business Analyst will conduct comprehensive analysis for fintech projects, including market benchmarking and stakeholder requirement gathering. They will also manage product documentation, support API/SDK integrations, and facilitate knowledge transfer across internal teams.
The Senior Eye Make-Up Product Developer will advise on the development of high-performance eye products from concept to launch while influencing technical and commercial decisions. They will oversee product validation programs, manage supplier relationships, and ensure compliance with EU cosmetic regulations.
The role involves building and maintaining production-grade Android applications that integrate AI-powered features like chat, vision, and voice. You will design UX patterns for AI interactions and optimize app performance, memory usage, and stability.
Take full ownership of quality assurance within cross-functional teams by designing and maintaining comprehensive test strategies. Collaborate with developers and product managers to ensure high-quality API flows and pixel-perfect web interfaces.
Own and drive the quality, reliability, and evolution of production AI systems, including the delivery of major AI features. Design and orchestrate agentic, tool-using AI workflows and manage prompt engineering and experimentation pipelines.
Conduct detailed business analysis and market research to enhance fintech product offerings. Develop use cases, user stories, and technical documentation while coordinating API integrations with third-party developers.
Facilitate technical interviews for software developers using Karat's platform to evaluate coding skills and technical knowledge. Provide objective evaluations of candidate performance, communication, and coding approach while mitigating bias.
Own the platform-level architecture for scale-up and scale-out systems, defining how accelerators are composed into high-performance platforms. Collaborate with internal divisions and strategic customers to specify interconnect infrastructure, host integration, and system-level memory organization.
The Tech Lead is responsible for the technical direction, architecture, and engineering quality within their domain. They align technical decisions with business priorities while mentoring engineers and improving platform stability.
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Design, develop, and maintain scalable high-performance applications using Elixir and related technologies. Lead architectural discussions, mentor junior engineers, and implement complex domain logic and data pipelines.
Own the end-to-end power-delivery design from on-die grids to PCB PDN and lead advanced packaging architecture for 2.5D/3D systems. Collaborate with cross-functional teams to ensure signal and power integrity targets are met for AI accelerators.
Produce 15-20 high-performing AI-driven short-form ads per week for Meta using advanced AI tools. Lead and manage a team of editors, overseeing quality control, KPIs, and hiring/firing processes.
Review and evaluate AI-generated text and multimedia content to ensure accuracy, clarity, and cultural appropriateness. Provide structured annotations and feedback to improve AI model performance based on local norms and market expectations.
Manage the entire B2B sales funnel from lead research and cold outreach to qualifying opportunities and closing deals. Actively optimize the SaaS sales process and maintain a clean pipeline within HubSpot.
Produce 15-20 high-performing AI-driven short-form ads per week for Meta. Lead and manage a team of editors, overseeing quality control, KPIs, and hiring/firing processes.
Develop and produce control system design drawings and documentation for mission-critical projects using Revit and AutoCAD. Coordinate with multidisciplinary teams to ensure integrated design delivery for HVAC and low-voltage systems.
Develop and manage data pipelines and data-driven solutions using the Databricks platform. Optimize application performance and ETL processes while supporting data infrastructure maintenance.
Contributors will annotate and label various data types to train AI systems and evaluate the quality of search results and chatbot responses. They will also create and test prompts to improve the performance of large language models.
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Responsibilities include full-stack development using modern frameworks like React and Node.js, extensive utilization of Claude Code for development acceleration, and building AI-powered tools and automation to eliminate repetitive tasks. The role also involves rapid prototyping of new product ideas and collaborating with leadership to identify high-leverage areas for AI and software implementation.
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