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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Architect, design, and implement state-of-the-art Generative AI models while collaborating with cross-functional teams to develop customized solutions. Innovate and enhance existing applications by integrating LLMs/MLLMs for optimal performance.
The Senior Java Engineer & Team Lead will write clean, modular code and mentor developers while being part of the design and architecture team. They will also debug technical problems and ensure alignment of application design with business goals.
As an Experience Architect, you will drive the solution for Agentforce-powered experiences and work with the AI team to deliver business value to clients. Your role will involve experience design, solution architecture, and execution for GenAI technologies.
The VP of Sales will lead and scale the enterprise sales team, focusing on building a predictable revenue engine and standardizing pilot-to-rollout conversion. This role involves coaching senior sales executives and improving forecast accuracy while maintaining regular sales processes.
The Chief of Staff will lead operational rhythms and client-facing delivery, ensuring alignment of priorities and execution from intake to impact. Responsibilities include managing multiple client engagements involving AI solutions and improving operational systems.
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The role involves improving the security properties of Tailscale by identifying and implementing security features and bug fixes. Additionally, the engineer will audit features for security weaknesses and support engineering decisions with threat modeling.
Drive revenue growth by securing new enterprise clients and expanding existing accounts. Establish strategic relationships with C-level executives and manage both transactional and large multimillion-dollar opportunities.
The Instrumentation and Controls Project Engineer will design instrumentation and control systems for Data Centers, managing tasks related to Building Management System design and specifications. This role involves communication and coordination with various engineering disciplines and stakeholders to ensure proper design and construction.
As a Software Engineer, you will participate in all aspects of software development activities, including design, coding, and testing. You will collaborate closely with engineering and other teams to build a high-quality product that enhances developer productivity.
As an AI Agent Engineer, you will develop, configure, deploy, and optimize AI agents while ensuring high-impact deployments. You will collaborate with customers and internal teams to gather requirements and refine solutions.
Software engineers will engage deeply with exploration geologists and data scientists to tailor technology development to their needs. They will also build data pipelines and tooling for deriving insights from exploration data, leading small teams to successful project delivery.
As a Senior Epicor ERP Implementation Consultant, you will analyze clients’ business needs and configure the Epicor ERP system accordingly. You will also provide user training and manage project progress to ensure successful implementations.
As a Design Engineer, you will collaborate with designers and partners to create and maintain experiences for Stripe.com. You will prototype and implement web animations and build user experiences that solve complex problems.
The Senior Full-Stack Engineer will lead development initiatives and contribute to SaaS products, focusing on backend architecture, frontend design, and AI/ML integrations. Responsibilities include developing algorithms, building APIs, and collaborating with AI/ML teams to enhance application functionality.
The Senior Machine Learning Engineer will work as part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for customers. Responsibilities include developing and implementing ML models, MLOps, and analytics.
The Machine Learning Architect will guide teams through Agile ceremonies and translate customer requirements into actionable tasks for engineers. They will also lead discussions on architecture and troubleshoot issues in various environments.
The Machine Learning Architect will guide teams through Agile ceremonies and translate customer requirements into actionable tasks for engineers. They will also lead discussions on architecture and ensure the delivery of high-quality cloud native applications on AWS.
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The Senior Full Stack Engineer will own and build key features for the HyperDX platform, focusing on both frontend and backend systems. They will also engage with the community to solve challenges and incorporate feedback into the product roadmap.
The Senior Machine Learning Engineer will work as part of a cross-functional delivery team to design and document machine learning solutions on the AWS cloud for customers. They will develop solutions designed by an architect and participate in daily standup meetings and bi-weekly agile ceremonies.
You will guide Cayliens and customers through Agile ceremonies and translate customer requirements into a workable backlog for engineers. Additionally, you will lead discussions on requirements gathering and architecture while troubleshooting issues in various environments.
The Staff Application Engineer will lead development efforts for critical application features and set an example for code quality and software design. This role involves working on complex code challenges within the application.
The role involves architecting and developing robust software solutions while enhancing software stability and resilience. Additionally, the developer will collaborate with the team to manage technical debt and participate in continuous learning.
The Senior ServiceNow Developer is responsible for building, configuring, and extending the ServiceNow platform for internal and client engagements. This includes delivering scalable solutions, supporting platform upgrades, and collaborating with various teams throughout the delivery lifecycle.
Design, develop, and maintain scalable and secure data pipelines and ETL processes. Collaborate with teams to ensure data models meet business requirements and security standards.
The Ecosystem Growth Specialist drives sales and customer success by onboarding customers, monitoring health scores, and managing technical integrations. They also engage with external stakeholders and design go-to-market strategies to enhance customer satisfaction and achieve growth milestones.
The Senior Software Engineer - Front End will shape and elevate the front-end engineering practice by delivering high-quality, scalable implementations. This role involves collaborating with engineers and product design to build customizable web components and ensuring their reliability and availability.
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The successful candidate will design, implement, and manage Azure cloud infrastructure solutions with a focus on automation and infrastructure as code. They will also provide technical support and collaborate with software developers to optimize application performance.
Fellows will conduct empirical AI safety research using external infrastructure and aim to produce a public output, such as a paper submission. They will receive direct mentorship from Anthropic researchers and access to a shared workspace.
You will help design, implement, test, and refine novel elements of a machine learning architecture built from the ground up to optimize the properties of small molecule drugs. You will also continually improve the robustness of our existing code base and apply our pipeline to new drug targets.
As a Cloud Solutions Architect, you will design and implement solutions for clients, providing technical expertise and guidance. You will also conduct workshops and help optimize pipeline performance for efficient cloud resource utilization.
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