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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Business Coaches and Consultants will work with small to mid-sized business owners to increase their companies' profit, efficiency, and value, engaging with new leads, converting them to clients, and conducting 1:1 sessions based on the proprietary method. Responsibilities also include providing resources from the online curriculum and participating in ongoing training and certification.
The role involves developing and maintaining scalable, secure web applications and APIs using Python frameworks like Django, FastAPI, and Flask, while also building responsive front-end applications using React.js. Responsibilities include designing APIs, working with AWS cloud services for deployment, optimizing performance, and implementing CI/CD pipelines.
Developers will collaborate with a team including BAs, PMs, and QA to implement solutions and build quality business software applications, focusing on developing both front-end and back-end components for large data-driven applications.
The role involves developing and maintaining scalable, secure web applications and APIs using Node.js, NestJS, and React. Key duties include integrating payment processing via Stripe and ensuring high-performance application standards.
The role involves working on a monolith application built with Ruby on Rails, collaborating on migrating front-end components from Angular 1 to React/TypeScript, and ensuring high code quality. Responsibilities also include deploying and managing applications on Heroku and AWS Fargate/ECS using Terraform for infrastructure management.
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The developer will be responsible for developing features for new and existing web applications, working hands-on with engineers, UX designers, and project managers to prototype and build features. They will also provide guidance on improving product efficiency, performance, and scalability while supporting existing applications.
The role involves developing features for new and existing web applications by working closely with engineers, UX designers, and project managers to prototype and build features. Responsibilities also include providing guidance on improving product efficiency, performance, and scalability, as well as supporting existing applications and business stakeholders.
The role involves writing clean, testable Python code to build scalable services and APIs using event-driven and service bus architectures. Responsibilities also include designing data analytics pipelines and creating comprehensive automated tests.
The engineer will act as a Fire Safety Subject Matter Expert for utility-scale battery energy storage systems (BESS), overseeing safety analyses like HMA, FMEA, and CFD simulations to meet fire safety requirements. Key duties include reviewing UL 9540a reports, guiding BESS fire safety system designs, and presenting safety information to various external groups like first responders and AHJs.
The engineer will design, build, and ship a cutting-edge identity search platform using modern web technologies while partnering with customers and stakeholders to create superior solutions for user workflows. Responsibilities also include implementing and maintaining high-scale search and agentic AI systems for various data shapes.
The Senior Engineer will lead and provide technical expertise on stormwater and sanitary sewer hydraulic projects, overseeing data collection, analysis, design, and construction implementation. Responsibilities also include building client relationships, managing multidisciplinary teams, and preparing project proposals.
Engineers will be responsible for making meaningful contributions to best-in-category features, aiming to upgrade the patient experience by integrating modern software solutions with doctors' legacy systems. This includes gathering feedback from clients and collaborating with the team to drive continuous product improvement.
Engineers will work on the full product lifecycle, from understanding customer problems to implementation, testing, and documentation, focusing on problems spanning networking, performance, security, and external system integrations for the Teleport product. The Platform Security team specifically implements security controls and collaborates with security researchers to identify and resolve vulnerabilities.
The role involves building and owning the foundational infrastructure, working directly on the Golang codebase to implement SRE objectives, and driving priorities using data to quantify system performance and reliability. Responsibilities also include on-call participation, leading incident management, and developing automation for globally distributed clusters.
The primary responsibility involves producing high-quality technical video content, writing technical blogs and guides showcasing Opik, and building creative technical demos highlighting use cases for evaluation, tracing, and observability. Additionally, the role requires active engagement in developer communities and surfacing developer sentiment back to Product and Engineering teams.
The engineer will architect and build IMS TM/DB-compatible technologies by contributing to the design and development of key components that replicate or extend IMS behaviors, while also defining the architectural direction for the IMS replatforming runtime. This role requires translating complex mainframe concepts and application patterns into scalable, reliable components for distributed and cloud-based environments.
The Staff Developer will focus on building net-new self-serve experiences, evolving systems that power Product Growth, and driving rapid experimentation across B2B product suites. They will serve as the technical DRI for new growth capabilities, owning architectural decisions and ensuring cohesive execution across teams.
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The Staff ML Engineer will conduct end-to-end analyses, wrangle data using SQL or Python, and develop/deploy machine learning models for both batch and real-time services, focusing on text and visual understanding. This role involves mentoring junior engineers, driving best practices in ML development and operations, and productionizing automated model pipelines within Python services.
Consultants will design and implement marketing analytics frameworks, set up tracking systems using tools like GA4 and Mixpanel, and build dashboards to monitor KPIs across various marketing channels. They will also analyze data to find insights, refine attribution models, and support advanced measurement approaches like MMM.
The role involves strategically consulting successful E-commerce brands on Shopify, focusing on marketing, CRO, and growth, while developing and implementing data-driven growth strategies. This includes utilizing modern AI tools to efficiently execute recommended measures and automate processes.
The Technical Lead will be responsible for leading the design, architecture, and delivery of complex full-stack applications and cloud-based systems while providing technical leadership across multiple projects. This includes guiding and mentoring engineers through code reviews, technical coaching, and enforcing engineering standards and best practices.
The System Specialist provides world-class leadership for high-profile orders, handling installations, startups, commissioning, testing, and both scheduled and emergency services for Precision Cooling Products. This role requires establishing excellent customer rapport and maintaining continuous communication with internal teams like CRC, Area/District Offices, and the direct manager.
Coaches will mentor students and early-career candidates pursuing AI and machine learning roles by assisting with resume reviews, technical interview preparation, and guidance on building strong projects and portfolios. They are expected to clearly explain both the fundamentals and real-world applications of AI/ML based on their production-level system experience.
Coaches will leverage AI in data and analytics roles to guide students and professionals in applying AI for analytical work, including data analysis, reporting, and insights generation. They are expected to translate hands-on experience using AI to improve analytical speed, quality, or decision-making into clear, practical guidance for mentees.
Coaches will mentor students and professionals on leveraging Artificial Intelligence within sales and marketing go-to-market roles, focusing on areas like lead generation, content creation, and campaign optimization. They are responsible for translating their hands-on AI experience into clear, practical guidance for mentees.
Coaches will advise professionals and business leaders on adopting and scaling Artificial Intelligence within their organizations. This involves helping mentees identify high-impact use cases, develop AI strategies, and lead successful AI transformations across various teams and functions.
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Coaches are sought to instruct professionals across various industries on building and applying AI in their work, focusing on designing AI workflows, automating processes, and developing agent-driven systems to boost productivity. They will partner with the team to deliver practical, high-impact coaching sessions to mentees.
Coaches will leverage AI in finance roles to guide students and professionals in applying AI for financial analysis, forecasting, modeling, research, and decision-making across various financial roles. They are responsible for translating hands-on experience into clear, practical guidance for mentees.
The role involves designing, building, and owning applications and integrations focused on improving the efficiency of Business Systems, specifically within Product Lifecycle Management (PLM) and Quality Systems at Harman. Responsibilities include designing business architectures, translating requirements into domain models, and implementing custom applications using model-driven concepts and low-code platforms.
The engineer will design, develop, and implement new infrastructure for an AI teammate, focusing on architecting the system that enables the agent to reason, remember, and evolve. This involves turning unstructured user data into a coherent world model by solving hard problems in AI memory, data pipelines, and security.
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