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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The Project Coordinator supports senior engineers and project managers by maintaining issue logs, schedules, and documentation for M&A migrations. They are responsible for tracking actions, risks, and dependencies while preparing status reports for leadership.
The Senior Azure Platform Engineer will design, administer, and maintain Azure infrastructure while leading the construction of CI/CD pipelines. They will also drive automation initiatives and provide technical guidance to the development team to ensure platform scalability and security.
The UI Engineer will develop high-fidelity mockups, interactive wireframes, and functional user interfaces for data-driven applications. They will collaborate with cross-functional teams to integrate APIs and ensure seamless, user-centric experiences across various devices.
You will design and maintain a central data ecosystem to provide a unified source of truth across 60+ global sub-brands. This involves building scalable ETL/ELT pipelines and establishing robust data governance frameworks to support business intelligence and AI initiatives.
The role serves as the primary escalation point for technical support issues related to Voice and Verification services. Responsibilities include managing service incidents, optimizing routing configurations, and collaborating with engineering teams to resolve complex technical challenges.
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Design, develop, and maintain UEFI BIOS and bootloader software while integrating board-level hardware components. Collaborate with hardware designers during product specification, board bring-up, and validation phases.
Lead the development of the Data Transformation Agent (DTA) and orchestrate complex data workflows using tools like Apache Airflow. Manage the integration and deployment of agentic technology while ensuring high engineering standards through code reviews and best practices.
You will design, implement, and maintain scalable cloud-based infrastructure and services to support complex biomedical research and AI-driven data processing. Additionally, you will drive technical standards, mentor junior engineers, and collaborate with cross-functional teams to enhance platform performance and security.
You will lead the technical strategy and development of scalable backend services and APIs for mission-critical insurance and geospatial systems. The role involves mentoring junior developers, driving system innovation, and ensuring high code quality through rigorous testing and reviews.
Develop and validate SAS programs for complex oncology clinical trials to support data analysis, reporting, and regulatory submissions. Collaborate on the creation of SDTM and ADaM datasets while ensuring compliance with industry standards and study timelines.
The Senior Analyst will design, develop, and maintain complex statistical and machine learning models to support business decisions in pricing and credit risk. They will also monitor production models, perform exploratory data analysis, and ensure data quality for high-volume decision-making.
You will own the end-to-end deployment of machine learning models, including data validation, model selection, and performance monitoring. You will also collaborate with clients to understand their business needs and ensure the forecasting system delivers actionable results.
Design and deliver production-grade multi-agent systems and AI services for enterprise-scale clients. Implement robust RAG pipelines, agent memory management, and AgenticOps practices to ensure reliable and ethical AI operations.
You will architect and develop agentic AI workflows that integrate large language models and reasoning components to create adaptive conversational systems. Additionally, you will lead the end-to-end development of ML/NLP products and mentor engineering peers to ensure scalable and maintainable AI solutions.
Contributors will perform task-based projects including data annotation, evaluation, and prompt creation to improve AI systems. You will work on a flexible schedule to help train and refine human-centered AI models.
The Network Engineer will support the design, deployment, and daily management of global corporate, datacenter, and cloud network infrastructure. They will also configure and troubleshoot enterprise routing, switching, and security solutions while collaborating with infrastructure and security teams.
You will converse with and challenge advanced language models to identify failure modes and document errors. Additionally, you will verify factual accuracy and suggest improvements to prompt engineering and evaluation metrics.
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Design and maintain scalable infrastructure to support model training, evaluation, and production serving. Develop internal tools and automation to reduce operational overhead for researchers and engineers.
Research, design, and develop comprehensive AI security labs and immersive learning experiences for the TryHackMe platform. Collaborate with the content engineering team to translate complex AI security research into actionable, practical training scenarios.
You will conduct high-quality penetration testing across infrastructure, cloud, web, and mobile applications for diverse clients. Additionally, you will contribute to methodology development and provide mentorship to junior team members.
You will lead engineering architecture design reviews and set high technical standards for the team through code and design oversight. Additionally, you will mentor engineers and collaborate across departments to build highly available, mission-critical services.
You will establish, maintain, and troubleshoot connections to client networks and data sources while developing system improvements. Additionally, you will communicate with clients and their IT teams to provide technical solutions and maintain connection documentation.
The Lead Infrastructure Engineer acts as the senior onsite technical authority and IT Incident Commander during migrations. They are responsible for leading Windows application migrations, triaging escalations, and maintaining operational control during cutovers.
You will lead and guide development teams while working directly with clients to translate business requirements into innovative digital products. Responsibilities include managing project delivery, defining architectural decisions, and ensuring best practices in software development and DevOps are upheld.
Provide architectural leadership across multiple initiatives to ensure solutions are coherent, reusable, and aligned with enterprise standards. Act as a trusted advisor to business and technology leaders while managing architectural risks and technical debt.
The Software Engineer will develop and optimize high-performance, low-latency components for the Switchboard trading platform. They are also responsible for system monitoring, proactive optimization, and providing third-line technical support for production issues.
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You will review and refine AI-generated outputs related to cloud architecture, infrastructure design, and deployment strategies. Additionally, you will evaluate AI responses for architectural soundness, security, and scalability while drafting realistic cloud scenarios.
You will review and refine AI-generated outputs to ensure technical accuracy and practical relevance in migration projects. Additionally, you will draft realistic migration scenarios and identify gaps in AI reasoning to improve system performance.
The Technical Delivery Manager will oversee WordPress development standards, ensuring high-quality, scalable, and secure website delivery. They will also lead delivery teams by managing resources, optimizing workflows, and driving operational performance.
The Infrastructure Lead serves as the senior onsite technical authority and Incident Commander during complex Windows application migrations. They are responsible for triaging escalations, managing concurrent incidents, and refining migration playbooks to ensure operational stability.
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