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 be responsible for developing, testing, and deploying innovative Android applications for the wellness sector. This includes collaborating with cross-functional teams to integrate apps with back-end services and equipment-embedded infrastructure.
The role involves bridging commercial underwriting expertise with platform design to build scalable Agentic AI underwriting capabilities. You will lead discovery sessions, define underwriting workflows, and partner with engineering teams to modernize policy operations.
You will act as a technical driver across teams to own and extend GPU and traditional cloud infrastructure. Your role involves empowering engineers by building excellent developer experiences and ensuring the stability of GPU deployments.
Lead end-to-end software delivery, including architecture design, hands-on development, and production support for the ecommerce platform. Mentor engineering teams, champion modern engineering practices, and influence architectural strategy to ensure system scalability and reliability.
You will support the design and development of LLM-powered pipelines and AI application components while assisting in model evaluation and performance analysis. You will also collaborate with senior engineers to build and test prompt engineering strategies and agent workflows.
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You will be responsible for designing, deploying, and operating distributed systems and microservices that support Sotheby's global auction and luxury sales platforms. You will collaborate across teams to maintain high-quality code and solve complex business problems while ensuring system reliability.
You will lead the vision, strategy, and execution of the company's Knowledge Graph and contextual AI capabilities. This involves building and mentoring a high-performing team while driving the technical roadmap for reasoning systems and graph-based learning.
Develop and maintain native iOS and Android applications while contributing to TV platform streaming experiences. Partner with cross-functional teams to define API contracts and drive architectural decisions for the native platform.
The Integration Consultant is responsible for the technical implementation and support of diagnostic cardiology systems, including configuring HL7 and DICOM interfaces. They act as the technical lead for projects, ensuring system integration with hospital information systems while providing expert support to customers.
The role involves leading the implementation and quality assurance of building management and control systems for new data center construction projects. The engineer will manage system integrators, oversee commissioning processes, and ensure all controls meet stringent design and safety standards.
The System Administrator II monitors and maintains system hardware, network infrastructure, and software performance to ensure optimal operation. They also provide technical support to users, manage system access, and implement security measures while contributing to infrastructure improvements.
You will build and own data infrastructure, pipelines, and warehousing while analyzing product usage to drive product decisions. Additionally, you will develop machine learning models and LLM-based systems to provide actionable insights that influence product strategy.
You will design, build, and maintain core software components while ensuring the scalability and stability of system resources. Additionally, you will participate in incident response and collaborate with cross-functional teams to improve infrastructure and observability.
You will design, build, and maintain core software components while ensuring the observability and stability of Tailscale's infrastructure. Additionally, you will collaborate with cross-functional teams to automate processes and improve system scalability.
You will design, build, and maintain core software components while improving the efficiency and scalability of system resources. Additionally, you will support internal business units by building tools and processes to ensure their success.
You will lead innovation in data science to identify guest preferences and optimize the online discovery funnel across Airbnb's business verticals. The role involves partnering with product and engineering teams to build AI-driven data products and frameworks that enhance personalized user experiences.
You will be responsible for administering IBM AIX systems, including server hardware, VIOS, and HMC, as well as managing high-availability solutions using PowerHA. Additionally, you will support data backup operations using IBM Storage Protect and contribute to the maintenance of Linux partitions on the Power platform.
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The Lead Software Engineer will architect and develop complex software solutions while mentoring junior and mid-level engineering staff. They will collaborate across cross-functional teams to ensure scalable, high-quality product delivery and technical alignment.
You will lead the end-to-end design, deployment, and management of decentralized exchange infrastructure and liquidity provisioning strategies. This includes coordinating with centralized exchanges and managing token market operations to ensure stability and efficiency for the ecosystem token.
The Security & Risk Engineer will conduct technical security assessments and risk analysis to ensure federal information systems comply with cybersecurity standards. They are responsible for validating security controls, identifying exploitable vulnerabilities, and producing objective findings to support mission assurance and risk-based decision-making.
The Principal AI Strategist will serve as a senior leader driving enterprise AI transformation and client strategy. They will lead end-to-end solution architecture, manage executive stakeholder relationships, and guide delivery teams to ensure successful AI adoption.
You will build and maintain integrations between the epilot platform and external systems like ERPs and third-party APIs. Additionally, you will design event-driven data pipelines and manage cloud infrastructure using Infrastructure as Code.
The Workday Principal Solution Architect leads and supports enterprise architecture activities, guiding the development and management of technology solutions. They partner with business leads to translate needs into scalable technical solutions across the Workday ecosystem.
The SME will author structured, beginner-friendly curriculum content for an AI Product Management program, including assignments and real-world projects. They will also collaborate with the Learning Experience Designer to ensure consistency and provide guidance for project reviewers.
Define and own the frontend architectural vision for high-scale products while designing scalable component systems and UI frameworks. Lead performance optimization, accessibility, and security initiatives while mentoring senior engineers to maintain technical excellence.
Design and implement scalable solutions for Akamai's cloud platform while developing data pipelines for ingestion and processing. Collaborate with cross-functional teams including Data Science, SecOps, and QA to maintain and optimize the SIA Data Platform.
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Contributors will perform AI data annotation, evaluation, and prompt creation to improve the accuracy and inclusivity of AI systems. Tasks involve labeling text, images, or audio and assessing the quality of search results and chatbot responses.
Contributors will annotate, label, and evaluate data to train and improve AI systems. They will also create and test prompts to enhance the accuracy and inclusivity of large language models.
Contributors will annotate and label text, images, or audio to train AI systems. They will also evaluate search results and chatbot responses while creating prompts to improve large language models.
Contributors will annotate and label data 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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