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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Embed with marketing teams to transform traditional workflows into AI-first processes by building custom tools and agents. Coach marketers to achieve AI self-sufficiency and scale successful automation patterns across the organization.
Develop and manage comprehensive test strategies including automated, UI, API, and integration tests within an SAP development team. Drive the evolution of QA processes using Shift-Left/Right principles and innovative AI-supported testing methods.
Build and ship end-to-end backend services, including APIs, automation pipelines, and cloud infrastructure for financial products. Collaborate with product and engineering teams to define technical solutions and maintain high code quality through reviews.
Build and ship complex user-facing features across web and mobile platforms using Angular and Ionic. Own the end-to-end feature lifecycle from problem analysis and design to shipping and iteration.
Lead CRM transformation and solution architecture for manufacturing clients, focusing on Salesforce platform design and business process redesign. Act as a trusted advisor to senior stakeholders while overseeing delivery and supporting pre-sales activities.
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Serve as a technical advisor to enterprise customers to design scalable data and AI architectures using the Snowflake ecosystem. Partner with sales and delivery teams to lead discovery sessions, develop solution proposals, and oversee architectural implementation.
You will own the quality assurance process for a digital board game platform by testing releases across web, mobile, and Discord. This involves validating bug reports, monitoring production, and proactively improving QA workflows.
The Database Administrator will be responsible for maintaining the Data Warehouse infrastructure, ensuring database stability, performance, and reliability, and handling user requests and incidents. This includes managing access rights, resolving DBMS performance tickets, and participating actively in the incident management process.
The specialist will run AI Visibility audits, analyze reports measuring brand presence in AI responses, and develop strategies to improve brand inclusion across generative AI platforms. This includes creating and optimizing long-form content and conducting schema and structured data audits to enhance machine readability.
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