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 design, develop, and maintain responsive web and mobile applications while collaborating with stakeholders and backend teams. Additionally, you will conduct user research and usability testing to ensure intuitive interfaces that meet federal accessibility standards.
You will create, maintain, and test databases, integrations, APIs, and other back-end processes for the company's principal products. You will also contribute to the development and maintenance of in-house and open-source libraries.
You will support Product, Marketing, and Operations stakeholders by building dashboards, writing SQL queries, and automating recurring reports. You will also own day-to-day operational reporting and ad-hoc data requests to improve data reliability and team efficiency.
The Solution Architect will design and oversee the overall architecture for IT projects in the railway industry. They are responsible for ensuring alignment between business and technical requirements while supporting system integration initiatives.
You will provide pre-sales technical support and lead validation processes to help customers align their business needs with Red Hat's automation solutions. Additionally, you will act as a customer advocate while collaborating with internal cross-functional teams to ensure successful implementation and thought leadership.
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Review, evaluate, and annotate AI-generated content across various media formats to ensure accuracy and quality. Identify inconsistencies and contribute to the development of high-quality datasets for training advanced AI models.
The role involves supporting and optimizing AWS infrastructure for Amazon Connect and enterprise cloud platforms using Infrastructure as Code. You will also be responsible for improving platform reliability through incident response, automation, and the development of monitoring solutions.
The Lead Architect will design, implement, and support cloud-based solutions while acting as a senior technical expert for Microsoft and Azure environments. They are also responsible for mentoring team members, managing vendor relationships, and driving automation and efficiency improvements across IT infrastructure.
The role involves architecting and building enterprise-scale Generative AI and data platforms to support advanced analytics and agentic workflows. You will lead the design of reusable platform services while ensuring high standards for security, governance, and operational excellence.
Design, develop, and maintain scalable data pipelines and architectures while ensuring data quality, governance, and observability. Collaborate with cross-functional teams to implement robust data solutions and optimize performance across cloud platforms.
The QA Tester will perform in-depth data profiling and execute quality rules to ensure data integrity throughout a large-scale migration project. They will also document findings and collaborate with data engineers to remediate issues while championing data quality standards.
You will build and maintain scalable fullstack solutions for international markets, focusing on purchase protection and agent tooling. You will collaborate with global engineering teams to ensure high-quality, performant code while participating in an on-call rotation.
You will build and maintain scalable fullstack solutions for international markets, focusing on purchase protection and agent tooling. You will collaborate with global engineering teams to ensure high-quality, performant code while participating in an on-call rotation.
You will own the architecture and reliability of the Python backend platform while bridging the gap between AI models and production-ready software. This involves driving technical alignment across teams and optimizing system performance for customer workloads.
You will own and develop the backend architecture for an AI-driven healthcare platform while leading the technical execution of the engineering team. This involves designing scalable solutions, mentoring developers, and promoting effective use of AI tools within the engineering workflow.
Perform preventative maintenance, installations, and repairs on medical equipment such as CT scanners within healthcare facilities. Manage customer relationships, resolve technical issues, and ensure all work complies with regulatory and company standards.
The SOC Lead will manage security operations, threat hunting, and incident response within an MSSP environment. They are responsible for leading a multi-disciplinary team, optimizing SIEM platforms, and ensuring compliance with regulatory standards.
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The role involves designing and governing end-to-end enterprise architectures across cloud, infrastructure, networking, and security platforms. You will collaborate with stakeholders to define architecture standards and lead large-scale digital transformation initiatives.
Design and architect complex Azure, data, and AI platforms while translating business requirements into scalable technical solutions. Develop data, ETL, and AI workloads, maintain infrastructure as code, and collaborate with stakeholders to optimize system performance.
The architect will lead the technical vision and design of an enterprise AI-driven translation platform by integrating various tools and LLMs. They are responsible for defining technical standards, mentoring development teams, and ensuring the scalability of distributed .NET systems.
You will maintain the reliability, observability, and operability of the brokerage platform by managing cloud infrastructure and Kubernetes workloads. Additionally, you will lead database reliability efforts, specifically focusing on PostgreSQL performance, migrations, and high availability.
You will own the roadmap for Enterprise MCP gateway capabilities, including authentication, policy enforcement, and observability. You will also collaborate with engineering and GTM teams to define server lifecycle frameworks and translate enterprise security requirements into shippable product features.
You will own the end-to-end data ecosystem, including building reliable ETL/ELT pipelines and modeling data in dbt. Additionally, you will partner with stakeholders to define business metrics and implement observability for analytics pipelines.
The Customer Success Architect will build consultative relationships with key customers to drive adoption, retention, and growth of the GitLab platform. They will act as a technical liaison between customers and internal teams like Product Management and Engineering to ensure business outcomes are achieved.
Design, develop, and maintain scalable Salesforce solutions including CPQ, L2O, and billing integrations. Translate complex business requirements into technical artifacts while ensuring adherence to Salesforce best practices.
You will design and build 3D playable ads and minigames from scratch using Unity and web technologies. You are responsible for packaging these assets for major ad networks while ensuring they meet strict technical and performance constraints.
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The role involves embedding with client teams to decompose manual business workflows into modular, scalable AI-agent pipelines. You will own the end-to-end lifecycle of AI solutions, from discovery and system architecture to production deployment and continuous iteration.
The Senior Business Analyst will own the end-to-end business analysis process, managing requirements from ideation to maintenance within a cross-functional fintech team. Responsibilities include defining payment-related features, managing the product backlog, modeling technical workflows, and facilitating Agile ceremonies.
You will design and build high-quality, scalable web applications using React, TypeScript, and modern front-end architecture. Additionally, you will collaborate with cross-functional teams to evolve core platforms while mentoring engineers and championing technical excellence.
The AI Platform Engineer will build the platform, tooling, and practices to enable teams to deploy AI capabilities safely and effectively. They will integrate AI into the software development lifecycle and ensure the operational health and observability of AI systems in production.
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