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 build and maintain reliable, scalable commerce solutions while collaborating closely with product managers to solve complex problems. Your role involves active participation in code reviews, testing, and driving technical initiatives with a strong sense of ownership.
Develop and quality control NONMEM PK/PD datasets using SDTM and ADaM standards to support pharmacometric modelling. Collaborate with cross-functional teams to ensure high-quality data delivery for regulatory submissions and maintain departmental R tools.
Lead end-to-end B2B sales cycles from prospecting to closing within the beauty and retail sectors. Manage a robust pipeline, conduct product demonstrations, and negotiate contracts to drive revenue growth across UK, EU, and US markets.
You will build a dual-sided web application including an internal admin dashboard and a creator portal. Additionally, you will engineer large-scale data collection systems to scrape and categorize influencer metrics from major social media platforms.
You will be responsible for developing back-end architecture and databases to support sustainable farming solutions. Additionally, you will participate in pair-programming and customer research to ensure the software effectively meets the needs of farmers.
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The AI Engineering Lead will design, build, and scale intelligent solutions and automated workflows to improve operational efficiency and farmer impact. They will also lead the full lifecycle of AI-enabled projects while mentoring a team of engineers to drive organizational adoption of new technologies.
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 within the AI research field while receiving intensive coaching and support. You will also participate in a personalized development program to enhance your management skills and prepare for major funding rounds.
You will own, build, and scale your own startup within the AI infrastructure sector. You will also work on personal development and iterate your product to achieve product-market fit with expert support.
The Principal Engineer will define the platform's future architecture and set the technical direction for the Merchant Experience pillar. They will also mentor development teams, drive architectural standards, and solve complex problems related to performance and scalability.
You will drive product and business impact by improving search engine ranking, precision, and relevance. This involves developing new lexical-matching signals and investigating LLMs for feature generation while maintaining high quantitative rigor.
The Senior Product Design Engineer will bridge the gap between design and engineering by working directly in the codebase to ensure high-quality execution. You will lead impactful projects, collaborate with cross-functional teams, and help shape the design engineering discipline within the company.
Own and deliver the year-end financial audit data workstream, including transactional data ingestion and reconciliation. Collaborate with accounting stakeholders to resolve data discrepancies and build robust reporting pipelines in Snowflake and Looker.
Review, evaluate, and validate AI-generated content to ensure accuracy and quality according to project guidelines. Annotate and categorize data while providing clear written feedback on identified errors or inconsistencies.
Review, evaluate, and validate AI-generated content to ensure accuracy and quality. Annotate and label various data types while providing clear feedback based on project guidelines.
Design and optimize end-to-end data solutions, including ingestion, processing, and storage, across cloud and legacy environments. Collaborate with cross-functional teams to modernize data systems while ensuring high standards of data quality, security, and performance.
Lead the design, architecture, and development of native Windows desktop applications using C#, XAML, and Windows App SDK. Collaborate with cross-functional teams to drive feature planning, accessibility efforts, and long-term product roadmap.
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Develop and maintain high-quality iOS applications while ensuring optimal performance, scalability, and user experience. Collaborate with cross-functional teams to design, launch new features, and implement robust CI/CD deployment processes.
You will build, maintain, and scale data scrapers and pipelines to collect financial data from various third-party sources. Additionally, you will perform technical investigations, conduct code reviews, and contribute to architectural improvements to reduce technical debt.
The QA Automation Engineer will own end-to-end quality for slot-math software, including math engine verification, platform reliability, and certification-readiness. They will also perform baseline security testing and validate delivery pipelines to ensure high-quality game releases.
You will design and execute comprehensive customer success strategies, including onboarding, adoption, and renewal processes. Additionally, you will lead a team of three and manage strategic enterprise accounts to drive revenue expansion.
You will manage the 'Sales to Cash' process, including billing, revenue recognition, and accounts receivable management. Additionally, you will support month-end closing procedures and handle bank and account reconciliations.
Design and build large-scale rendering infrastructure to transform modern web applications into structured content for AI agents. Optimize rendering performance, cost, and reliability while processing billions of pages at internet scale.
The role involves managing data collection and operating cloud infrastructure to support model training operations. You will collaborate with scientists to optimize data ingestion pipelines and define the AI team's dataset roadmap.
You will build and improve agents that generate test coverage, diagnose system failures, and monitor live systems to ensure quality. You are responsible for the end-to-end test strategy, including exploratory testing and determining when a release is ready to ship.
You will architect and evolve backend systems in Golang to support millions of users while maintaining existing Node.js services. You will collaborate with product and data teams to build scalable APIs and optimize performance bottlenecks.
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Engage in live, natural video conversations in Russian with other participants to provide data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
The Senior SRE will architect and manage highly available, secure, and scalable infrastructure while driving large-scale automation and reliability initiatives. They will also act as a technical leader, mentoring team members and partnering with product engineering squads to optimize cloud performance and costs.
Design, develop, and optimize low-latency, mission-critical trading systems while owning key components from architecture to production. Collaborate with quants and traders to improve trading performance, resilience, and operational excellence.
You will design and maintain internal tooling and CI/CD pipelines to simplify infrastructure and improve developer productivity. Additionally, you will operate AWS infrastructure and apply SRE principles to ensure system reliability, security, and observability.
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