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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Responsible for the detailed signal integrity design, modeling, and testing of high-speed electrical interconnections. Collaborates with cross-functional teams to develop next-generation high-speed optoelectronic module products.
Lead the design and execution of data and AI governance frameworks using Microsoft Fabric and Azure AI Foundry. Manage security policies, cost optimization (FinOps), and act as a strategic bridge between technical teams and business leaders.
Own the discovery, scaling, and maintenance of the generative AI stack to create consistent AI characters. Architect the technical pipeline that enables the creative team to produce high-quality, photorealistic content at scale.
Architect and maintain cloud infrastructure on GCP and AWS to support computational biology platforms and data pipelines. Collaborate with scientific teams to operationalize prototype workflows into reliable production systems with high observability and security.
Lead new clients through the onboarding process by transforming inefficient accounting processes into scalable cloud-based systems. Manage a small portfolio of recurring clients while developing onboarding SOPs and leveraging AI to improve operational efficiency.
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Design, build, and operate a scalable live streaming platform focusing on the end-to-end video signal chain. Maintain backend microservices and ensure broadcast-grade reliability through monitoring and redundancy.
Architect and build the coordination fabric for agent-to-API and agent-to-agent transactions, including discovery, billing, and settlement. Lead the technical lifecycle from design reviews to documentation while mentoring engineers to scale the marketplace infrastructure.
Design and implement software for industrial automation and data systems integration, primarily using Inductive Automation's Ignition software. Develop applications ranging from basic HMIs to full MES solutions and internal tools for robot and PLC programmers.
The Business Developer II identifies growth opportunities and optimizes marketing strategies to ensure long-term company success. Key duties include analyzing business operations, monitoring revenue streams, and negotiating deals to increase market share.
Lead the technical ownership and end-to-end development of the Gateway Android app for Mobile Cardiac Telemetry. This includes making architectural decisions, mentoring engineers, and establishing engineering practices for a safety-critical platform.
Lead end-to-end medical research projects and extract clinical insights from EMR data using LLM-based feature engineering. Develop data pipelines and build patient cohorts to enrich the company's proprietary healthcare data catalog.
Own the product roadmap for backend systems, APIs, and the third-party integration layer of a SaaS product suite. Drive the development of scalable, interoperable systems and manage integrations with EHR/EMR platforms and health data networks.
Design and maintain automated test frameworks for the Salesforce platform, including Apex unit tests and UI automation. Integrate quality gates into CI/CD pipelines and collaborate with stakeholders to define acceptance criteria and reduce defects.
Drive revenue growth by building relationships and closing deals within the Web3 ecosystem. Collaborate with the Web3 Task Force to expand brand recognition and provide product development insights based on market trends.
Modernize a mission-critical legacy system by replacing it with a modern web ecosystem using Agentic AI software development lifecycles. Develop domain services in TypeScript and Node.js while extracting business logic from legacy Java and PL/SQL packages.
Own the data layer for payment processing and AI agent platforms, focusing on performance, scalability, and high availability. Lead database administration, automation via Infrastructure as Code, and the design of backup and recovery strategies.
Lead the modernization of a mission-critical Fleet Management System by extracting functionality from a legacy C++ monolith into a modern microservices architecture. Design and implement new services using Python, React, and Kubernetes while ensuring system observability and quality.
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Provide analytical support for infrastructure strategy, focusing on capacity planning, compute sourcing, and site selection. Build dashboards and frameworks to monitor deployments and streamline operational workflows across Engineering and Finance.
Design and architect large-scale production Ceph clusters and lead fleet-wide capacity planning and hardware strategy. Own major platform upgrades and drive the resolution of complex cross-functional production incidents.
Own the data strategy and reporting function for the Customer Support organization, ensuring high-quality data capture across Zendesk and AI tools. Translate raw data into actionable insights to drive decision-making regarding resourcing, tooling, and CS strategy.
Lead the engineering delivery of Battery Energy Storage Systems (BESS), microgrids, and inverter-based resource interconnections from concept through commissioning. Provide technical oversight, perform detailed design and analysis, and coordinate with utilities and clients to ensure code compliance.
Build and maintain integrations between internal systems, third-party APIs, and AI/ML services. Design automation workflows and develop full-stack product features from the frontend to the database.
Architect and develop a modular, high-performance iOS video player and media API to enhance Reddit's media experience. Partner with backend infrastructure and CDN teams to optimize global delivery and mentor other engineers on the team.
Lead the strategy and delivery of predictive models to improve customer acquisition and long-term commercial value. Partner with Engineering and ML Ops to transition models into reliable, production-ready products that drive business growth.
Lead the strategy and delivery of predictive models to improve customer acquisition, marketing performance, and long-term commercial value. Manage a team of data scientists and collaborate with Engineering and Product teams to productionize ML solutions.
Design and develop scalable, high-performance backend software solutions for access management using AI-assisted tools. Collaborate with cross-functional teams to implement secure authentication and authorization features while mentoring junior engineers.
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The Lead QA Engineer will build and own the quality strategy across web and mobile platforms, replacing ad hoc coverage with repeatable processes. They will design automated test suites, manage bug triage, and collaborate with engineering teams to define acceptance criteria.
The Senior Business Analyst will manage the reporting intake function and translate stakeholder needs into clear data requirements for a Microsoft Fabric environment. They will produce recurring reports, maintain data dictionaries, and partner with engineers to build out the semantic layer and data lake.
The Solutions Engineer bridges product configurations to tailored cybersecurity solutions for government and utility customers. Responsibilities include collaborating with sales and product teams to design, deploy, and demonstrate risk management ecosystems.
The role involves planning and executing multi-channel digital marketing campaigns and creating SEO-focused content. Additionally, the specialist will design and optimize AI-powered workflows and automation to scale marketing productivity.
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