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 Lead Engineer will take technical ownership of complex products, designing scalable systems and driving initiatives from conception to production. They will also mentor other engineers, perform code reviews, and ensure high standards for system reliability and performance.
You will work on new customer experiences built on advanced AI systems and collaborate with researchers to implement end-to-end data solutions. Additionally, you will partner across various departments to define growth strategies and translate recommendations into product improvements.
The Database Engineer III is responsible for designing, developing, and testing complex data products within a cloud environment. They will monitor system performance, resolve data issues, and collaborate with technical teams to ensure data architecture aligns with business requirements.
Define and govern scalable AI solution architectures that align with business outcomes and enterprise standards. Facilitate stakeholder workshops and collaborate with cross-functional teams to ensure secure, compliant, and effective AI implementation.
The Senior Salesforce Engineer will develop and maintain Salesforce solutions, including Apex, Lightning Web Components, and integrations to support Go-to-Market applications. The role involves troubleshooting production issues, advocating for coding best practices, and collaborating with cross-functional teams to ensure scalable infrastructure.
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Design and implement scalable solutions across a SOA and microservices architecture while leading code reviews and mentoring junior engineers. Own major platform functionality and drive the modernization of legacy systems while delivering new product features.
Design, deploy, and configure secure, scalable architectures using the Citrix platform to enable modern digital workspaces. Collaborate with customers and partners to drive platform adoption, validate proof of concepts, and ensure successful integration of secure access solutions.
You will design, develop, and deploy custom Salesforce solutions using Apex, LWC, and OmniStudio to streamline financial operations. Additionally, you will integrate Salesforce with legacy financial systems and implement robust security models to ensure regulatory compliance.
The Senior QA Engineer will own the quality strategy for programmatic publishing, designing automation and defining release-readiness for the squad. They will perform backend-heavy testing including API, contract, data validation, and event-driven system verification.
You will own the end-to-end QA process for PDF Expert across iOS, Mac, and Web platforms to ensure high-quality, bug-free releases. Additionally, you will monitor customer issues and crashes while collaborating with product and engineering teams to improve overall user experience.
You will design and execute comprehensive customer success strategies, including onboarding, adoption, and renewal processes. Additionally, you will lead a team of three and manage strategic enterprise accounts to drive revenue expansion.
You will design and govern the knowledge structures, ontologies, and taxonomies that power the AI platform's retrieval systems. Additionally, you will collaborate with cross-functional teams to curate high-quality domain knowledge and define governance workflows for various sports business clients.
You will design and govern the knowledge architecture for an AI-powered platform, including domain ontologies and retrieval logic. You will also collaborate with subject-matter experts and the AI team to curate high-quality, structured knowledge bases.
Design, build, and maintain enterprise-grade IT service platforms while leveraging AI agents to accelerate engineering workflows. Provide production support for complex issues and collaborate with stakeholders to deliver scalable technical solutions.
Provide Level 2 technical support for teleradiology operations, AI medical imaging products, and internal corporate IT systems. Manage incident coordination, ensure SLA compliance, and maintain system integrations across clinical and cloud environments.
You will design and implement CI/CD pipelines and manage cloud and on-premises infrastructure for Big Data and AI products. Additionally, you will monitor system performance, automate operational tasks, and support production environments.
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Design, build, and maintain scalable backend services and APIs to support global KYC verification and compliance workflows. Lead the architecture of high-performance distributed systems and integrate AI/ML technologies to optimize risk assessment pipelines.
The Staff Software Engineer will provide senior technical leadership for the backend systems of Canva's experimentation platform. They will drive the evolution of the platform to improve experimentation practices, automate analysis, and ensure reliable, scalable performance.
The Senior Solutions Architect will serve as a technical advisor to global OEMs, designing scalable and secure cloud-native solutions for connected vehicle platforms. They will lead proof-of-concept engagements, manage custom solution development, and bridge integrations between enterprise systems and vehicle-to-cloud infrastructure.
You will lead the technical execution for three WordPress sites, including audits, rebuild roadmaps, and performance optimization. Additionally, you will manage external contractors and ensure the stability of the technical environment for marketing initiatives.
Develop and enhance automotive ECU diagnostic applications using C#/.NET while implementing UDS diagnostic services per ISO 14229. Troubleshoot communication between diagnostic applications and ECUs, and collaborate with embedded and testing teams.
The engineer will investigate, triage, and resolve complex technical issues escalated from Tier 1 support while analyzing system logs and databases. They will also act as a liaison between customers and internal teams to communicate bugs and document resolutions to improve support workflows.
Design and develop AI agents and copilots using Microsoft Copilot Studio and Azure AI while integrating with enterprise applications. Collaborate with business analysts and architects to identify use cases and convert successful prototypes into scalable production solutions.
Investigate events, systems, and mechanical failures to provide expert opinions and engineering consulting services. Contribute to company profitability by delivering comprehensive analyses and providing leadership on complex engineering assignments.
Lead and manage a cross-functional engineering team to deliver high-quality products while setting standards for architecture, reliability, and security. Drive technical execution from idea to production while coaching engineers and fostering a culture of ownership and continuous improvement.
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You will lead and manage a high-performing engineering team to build and scale AI-native products from idea to production. This involves setting technical standards, driving architecture decisions, and coaching engineers to ensure high-quality delivery and system reliability.
The Lead Engineer will take technical ownership of complex products, designing scalable systems and guiding the engineering team from idea to production. This role involves hands-on coding, prototyping, and mentoring to ensure high-quality engineering standards and reliable system performance.
The Analytics Engineer will design, develop, and maintain data models and pipelines to provide clean, reliable data sets for business analysis. They will collaborate with cross-functional teams to configure cloud data infrastructure and ensure data accuracy across reporting solutions.
You will design, build, and maintain foundational services and user experiences while collaborating with domain experts to ensure system reliability and scalability. Additionally, you will leverage AI agents and tooling to automate repetitive tasks and improve code quality across the development lifecycle.
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