1,449 Git jobs available for remote work from home. Apply for positions such as Lead Software Developer (RJ036), AI & GenAI Data Scientist-Senior Associate, Senior Backend Engineer, and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Lead Software Developer will manage and lead the design and development of scalable, secure software solutions using full stack web frameworks and cloud-first approaches. They will supervise resource allocation and project timelines while ensuring alignment with business objectives and maintaining existing codebases.
The role involves leveraging advanced analytics techniques to extract insights from large datasets and support clients in solving complex business problems. You will also manage client relationships and guide teams in delivering quality solutions.
The Senior Backend Engineer will maintain and improve existing APIs, reverse-engineer backend services, and collaborate with product managers to define requirements. They will also mentor less experienced engineers and contribute to the architectural roadmap for a scalable application.
The Frontend Software Engineer will build high-quality, scalable front ends using JavaScript and React.js, collaborating with product managers and designers to define requirements. They will also work with back-end engineers to design API contracts and ensure the applications function across multiple browsers and devices.
The Senior DevOps Engineer will design and build sophisticated CI/CD pipelines to support rapid feature deployment and leverage AI tools to enhance productivity. This role involves architecting workflows and implementing progressive delivery strategies to meet scaling challenges.
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As a Consultant, you will work with the latest Microsoft technologies within the Managed Services team, enhancing existing applications and developing new solutions. You will provide expert guidance and hands-on support for Azure and D365 custom-developed solutions.
The role involves building robust APIs and microservices using FastAPI to integrate AI models into applications. Additionally, the candidate will manage data using vector and graph databases and optimize generative AI performance through prompt engineering.
Build a highly functional and efficient Big Data platform to provide insights to Healthcare business operations. Partner with internal teams to analyze complex requirements and deliver solutions.
Lead the design and implementation of an advanced automated Linux build control system. Work closely with other engineering teams to deploy seamlessly into the Canonical ecosystem.
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