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 Service Engineer is responsible for the installation, commissioning, and maintenance of medium and low voltage power distribution equipment. They will also manage digital equipment ledgers and identify new business opportunities within the installed base.
The Senior Statistical Programmer will lead programming activities for clinical studies, including resource estimation, budget management, and timeline adherence. They are responsible for developing SAS programs for SDTM and ADaM datasets, performing quality control, and mentoring less-experienced team members.
The Senior Sales Engineer is responsible for managing sales of Schneider Electric products, specifically medium and low voltage power distribution, to the Suzhou Power Supply Bureau. Key tasks include developing new clients, maintaining existing accounts, providing technical solutions, and coordinating project collaborations.
The Field Service Engineer will install, maintain, troubleshoot, and repair sophisticated analytical and scientific instruments in various laboratory settings. They are responsible for providing exceptional customer service and ensuring all work adheres to GMP and safety standards.
The Sales Engineer will identify opportunities to improve client efficiency and productivity through consultative dialogues. They are responsible for managing strategic accounts, coordinating cross-functional resources, and delivering integrated solutions.
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Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Lead the design, architecture, and development of native Windows desktop applications using C#, XAML, and Windows App SDK. Collaborate with cross-functional teams to drive accessibility efforts and ensure high-quality, scalable feature releases.
Collaborate with product teams to scope projects and deliver solutions via cross-platform SDKs. Optimize existing functionality by designing efficient abstractions and improving algorithms for faster loading and intelligent parsing.
You will lead key engineering and product decisions while actively shipping production code for the Speechify iOS app. You will also participate in product roadmap discussions and maintain the existing complex app architecture.
You will own the end-to-end execution of ML systems, including data pipelines, training workflows, and production deployment. You will also architect scalable inference systems and collaborate with application engineering to integrate ML models into products.
The Principal Manufacturing Engineer will provide engineering support to optimize global contract manufacturing lines and ensure consistent service performance. Responsibilities include developing production fixtures, executing validation protocols, and driving continuous improvement through automation and process optimization.
Design and develop production-grade CLI tools and developer experiences using Golang and TypeScript. Build extensible plugin architectures, release pipelines, and telemetry frameworks to support API governance and developer productivity.
Design and harden the Kotlin/Spring Boot runtime to execute workflow graphs reliably in a production environment. Collaborate with cross-functional teams to implement Temporal.io workflows and ensure robust failure-mode handling for distributed systems.
The engineer will build and maintain React-based interfaces for capability mapping while managing Python scripts for data ingestion and transformation. They will also integrate AI services and Knowledge Base APIs to enhance discovery experiences and ensure high engineering standards.
The role focuses on enhancing the efficiency and speed of the trading stack by identifying and implementing low-latency performance solutions. You will collaborate with traders and technology teams to analyze data, investigate bottlenecks, and perform statistical experiments to improve trading results.
Develop and ship AI-driven sales enablement products, including LLM orchestration, RAG pipelines, and agentic workflows. Integrate these solutions with CRM systems and enterprise data sources while contributing to a scalable, multi-tenant architecture.
The Field Application Engineer will lead technical support for optical module customers in Chengdu and drive design-win projects through cross-functional collaboration. They are responsible for managing technical communications with customer R&D teams and providing on-site support for performance optimization and product qualification.
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Develop and expand business relationships with key industrial and automotive customers. Collaborate with business units and field application engineers to secure new product introduction design wins.
Build and maintain end-to-end product features across frontend, backend, and AI/LLM components. Collaborate with cross-functional teams to deliver practical solutions for internal tools, automation platforms, and AI-enabled workflows.
Collaborate with stakeholders to translate business requirements into robust services with high-quality code and testing. Proactively manage performance tuning, troubleshoot incidents, and mentor junior team members.
You will own end-to-end development of product features while integrating AI coding tools into your daily workflow to maximize efficiency. Additionally, you will act as a full stack seed within your team to champion AI-augmented development practices and improve cross-team collaboration.
The Data Analytics Manager will research and analyze risk patterns to identify and mitigate fraud while developing strategic compliance frameworks. They will also lead the Compliance Data Analytics team to drive operational efficiency and provide actionable insights to senior management.
You will design and operate large-scale data pipelines and infrastructure to support distributed machine learning training and experimentation. The role involves collaborating with engineering teams to ensure ML pipelines are reliable, scalable, and performant.
You will support the evaluation of marketing performance and generate user growth insights across global markets. Additionally, you will maintain analytical infrastructure including attribution tracking, automated reporting, and fraud monitoring.
You will own the infrastructure operations for a distributed fleet of servers, ensuring high availability and performance. This includes automating routine tasks, managing monitoring systems, and participating in a 24/7 on-call rotation.
Define and evolve the architectural vision for new products, platforms, and technology initiatives while driving Proof of Concept efforts. Lead technical design for complex enterprise systems and mentor engineering teams to ensure scalable, production-ready solutions.
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Define and evolve the architectural vision for new products, platforms, and technology initiatives while driving Proof of Concept projects. Collaborate with engineering teams to design scalable, cloud-native solutions and establish architectural standards and best practices.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for next-generation products.
Lead the design, architecture, and development of native Windows desktop applications using C#, XAML, and Windows App SDK. Drive accessibility efforts and collaborate with cross-functional teams to ensure high-quality, user-centric feature releases.
Collaborate with product teams to scope projects and deliver solutions via cross-platform SDKs. Optimize existing functionality by designing efficient abstractions and improving algorithms for faster loading and intelligent parsing.
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