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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Design, deploy, and manage scalable cloud and hybrid infrastructure with a focus on automation, reliability, and security. Implement observability solutions and maintain CI/CD pipelines to ensure high availability and efficient software delivery.
Design, implement, and support product features for the MongoDB Atlas API Platform and developer tools like the Atlas CLI. You will build software integration components and assist customers in solving technical problems through a Level 2 support rotation.
Design and develop coding benchmarks to evaluate frontier AI models and analyze AI-generated code for correctness and efficiency. Build scalable data pipelines and create structured programming scenarios to improve AI reasoning and reliability.
Design and build a loan origination system using a full-stack TypeScript environment and AWS components. Collaborate with tech leads and product teams to define functional requirements and maintain technical documentation within an Agile framework.
The Firmware Architect will lead the end-to-end firmware and embedded software architecture for TYL chiplets, overseeing both on-die and host-side components. They will also drive pre-silicon and post-silicon firmware development and collaborate with cross-functional teams and customers.
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Lead the end-to-end thermal design, simulation, and validation of spacecraft components and subsystems. Define thermal control strategies and oversee environmental qualification tests to ensure mission-critical performance.
Responsible for end-to-end marketing of the ERP & Selling product area, acting as a local CMO with ownership of the pipeline and budget. Tasks include developing positioning, ICP, and messaging, as well as planning and executing multi-channel campaign strategies.
Lead the research, design, and implementation of cutting-edge ML algorithms to enhance spatial computing and digital twin creation. Translate research prototypes into production-ready solutions and contribute to the strategic ML roadmap and intellectual property.
The MLOps Engineer will design, build, and maintain scalable machine learning pipelines and cloud-based environments. They will collaborate with cross-functional teams to deploy, monitor, and govern enterprise ML solutions to drive business impact.
The role involves maintaining and architecting the existing Microsoft Dynamics 365 system while leading the transition toward an open-source, AI-driven sales platform. Key tasks include developing AI use cases like lead scoring and automated communication, and collaborating with sales stakeholders to implement scalable technical solutions.
Design and maintain scalable backend services and RESTful APIs using Python, Django, and FastAPI. Integrate AI capabilities including LLMs and RAG systems to build intelligent automation workflows.
Build, operate, and scale containerized data infrastructure on Kubernetes and Linux-based systems. Develop automation tooling in Python and ensure the reliability and performance of distributed data processing engines like Spark.
Design, deploy, and operate production Kubernetes clusters across cloud and on-premises environments to support critical health data systems. Implement GitOps-driven delivery, observability frameworks, and SRE practices to ensure high reliability and scalability.
Design and implement machine learning architectures for medical imaging and longevity medicine. Collaborate with domain experts to translate scientific research into production-ready AI systems.
Build and lead the Product Red Team to emulate real-world attacks against synthetic customer instances to identify vulnerabilities and design gaps. Establish operational standards, engagement frameworks, and collaborate with cross-functional teams to improve product security posture.
Design and implement machine learning architectures for medical imaging and longevity medicine. Collaborate with domain experts to translate scientific research into production-ready AI systems.
Develop and maintain a high-performance backend platform using PHP and Laravel with a focus on scalable architecture. Collaborate with cross-functional teams to deliver end-to-end features and manage deployments via AWS and Bitbucket.
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Lead a team of developers by planning work, managing timelines, and mentoring engineers to ensure high code quality. Design and enhance backend applications using PHP while optimizing performance, reliability, and scalability for the auction platform.
Support race, test, and simulator activities to optimize track performance through tyre physics analysis and simulation. Validate tyre models against track and rig data to ensure robust vehicle performance development.
The Software Engineer II, AI translates business requirements into technical specifications and establishes a technical roadmap for AI platform capabilities. They are responsible for developing, deploying, and troubleshooting large-scale distributed systems and driving continuous improvements in implementation methodology.
Develop, maintain, and test web-based custom applications while ensuring seamless integration with databases and networks. Provide technical support and collaborate with team members to implement system improvements.
Build and manage tools for money movement, bank data integration, and merchant data for the Affirm Card product. Collaborate with cross-functional teams to deliver scalable backend systems and support operational availability through monitoring and on-call efforts.
Translate a director's vision into high-quality AI-generated visuals for a professional feature film. Collaborate with creative teams to ensure visual consistency, continuity, and cinematic quality across scenes.
Design, develop, and implement Oracle JD Edwards EnterpriseOne solutions specifically for the Finance module. This includes customizing functionality, developing custom reports, and providing technical support to ensure high system performance.
Design, develop, and deploy bots using Automation Anywhere A360 and Excel VBA macros. Collaborate with stakeholders to identify automation opportunities and maintain documentation such as PDDs and SDDs.
The Application Architect is responsible for the architecture and administration of the IBM Maximo Application Suite. This includes managing enterprise infrastructure, cloud platforms, and system integrations to ensure stability and performance.
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Design, build, and maintain the critical infrastructure and foundational systems that power the in-house search engine. Ensure the platform remains scalable, resilient, and reliable while handling billions of daily requests globally.
Design, build, and maintain scalable backend services and RESTful/GraphQL APIs using Python and AWS cloud-native technologies. Collaborate with cross-functional teams to integrate third-party APIs and support AI/analytics product workflows.
Focus on the technical implementation, architecture, and development of SAP Customer Service and CRM solutions, specifically transforming legacy systems to S/4HANA and SAP CX. Responsibilities include hands-on ABAP development, customizing, troubleshooting, and acting as a stream lead or mentor for colleagues.
Build full-stack product features using modern web frameworks and AI tools while ensuring security-first implementation. Own the entire development lifecycle from UI and APIs to testing and releases.
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