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 and implement performant backend services, infrastructure tooling, and cloud-native applications using Go. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while mentoring junior engineers.
The PLM Engineer will manage the technical operation, installation, and configuration of Windchill or Teamcenter environments. They will also lead platform upgrades, migrations, and performance tuning while collaborating with engineering and manufacturing teams.
Design and develop advanced Java customizations within the Windchill platform, including services, listeners, and processors. Collaborate with cross-functional teams to translate requirements into well-engineered solutions while maintaining system performance and documentation.
Design and implement large-scale distributed backend systems while ensuring scalability, reliability, and performance. Lead architecture reviews, mentor mid-level engineers, and partner with SRE teams to drive operational excellence.
Design and build robust, scalable test automation frameworks for web, API, mobile, and microservice testing. Collaborate with cross-functional teams to embed quality engineering throughout the SDLC and mentor junior engineers.
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The Technical Business Analyst will analyze customer business requirements and translate them into detailed product specifications for the development team. They are also responsible for designing and executing test plans to ensure software quality before deployment.
The Director of People Operations leads the strategy and execution of HR infrastructure, core HRIS technology, and data-driven workforce analytics. This role oversees operational frameworks, compliance, and cross-functional partnerships to enhance the employee experience and support organizational growth.
The role involves developing and validating AI methodologies within a Responsible AI program to ensure ethical and compliant healthcare applications. You will collaborate with cross-functional teams to automate testing, document best practices, and mentor colleagues on AI development.
You will design, build, and maintain scalable data pipelines and services using Python, SQL, and cloud technologies. Additionally, you will focus on continuous improvement by refactoring existing systems, implementing data quality checks, and optimizing performance.
The role involves managing commercial data integration for the APSS program and supporting user interface requirements. Additionally, the engineer will troubleshoot system bottlenecks and maintain documentation for the APSS Collection Tool.
The Microsoft 365 / Azure Engineer will lead the design, configuration, and management of enterprise M365 and Azure platforms, including identity, collaboration, and security governance. This role involves blending architectural strategy with hands-on operational tasks to support firm-wide technology roadmaps and M&A integrations.
You will design, implement, and optimize scalable cloud data architectures using Google Cloud Platform and BigQuery. Additionally, you will collaborate with engineering teams to define data models and ensure robust data governance and security standards.
Lead the architecture and development of Dynamics 365 Customer Engagement solutions while translating complex business requirements into technical specifications. Manage the full solution lifecycle, including data modeling, custom development, and integration with external systems.
The Senior Platform Engineer will design, develop, and manage automated, resilient, and secure IT platforms with native-AI capabilities. This role involves maintaining observability stacks, infrastructure as code, and CI/CD pipelines while mentoring team members and representing platform engineering in architecture reviews.
You will build and maintain backend services and APIs while designing reliable data ingestion and processing workflows. Additionally, you will collaborate with cross-functional teams to ensure data accuracy, consistency, and availability across the platform.
The Technical Engineer will design, develop, and optimize packaging and automation solutions across multiple manufacturing facilities. They will lead equipment integration, conduct validation studies, and provide technical support to ensure efficient and compliant production processes.
The Pharmacy Solutions Architect leads the strategic design, implementation, and lifecycle management of pharmacy technology solutions across the health system. This role collaborates with multidisciplinary teams to ensure scalable, safe, and efficient medication management systems and interoperability platforms.
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Build and improve machine learning models for personalization, search, and content recommendation across Pinterest product surfaces. Leverage advanced technologies like LLMs, deep learning, and data-driven methods to enhance content understanding and advertising algorithms.
Design, develop, and maintain scalable Java applications using Spring Boot and Microservices architecture. Collaborate with cross-functional teams to optimize performance and contribute to CI/CD and application modernization initiatives.
Build cutting-edge technology using deep learning and machine learning to personalize the Pinterest platform. Partner with cross-functional teams to experiment and improve models for product surfaces like Homefeed, Ads, Shopping, and Search.
Lead and build a data science team to support marketing operations, developing roadmaps for marketing mix models and incrementality measurement. Collaborate with cross-functional teams to integrate actionable insights into product roadmaps and drive marketing ROI.
The role involves owning end-to-end data systems, including data models, ETL processes, and application support. Additionally, the analyst will manage platform maintenance, data quality, and provide cross-functional mentorship to team members.
Design, develop, and maintain mission-critical enterprise applications across web, mobile, and cloud platforms. Collaborate with stakeholders to deliver secure, scalable software solutions while participating in the full software development lifecycle.
The Business Analyst will be responsible for developing and customizing SailPoint IIQ workflows and performing impact analysis for new integrations. They will also manage identity data cleanup, support UAT, and coordinate production deployments within an enterprise environment.
The Senior Database Administrator will manage, maintain, and secure on-premises Microsoft SQL Server environments to ensure optimal performance and availability. Responsibilities include designing backup strategies, implementing disaster recovery solutions, and collaborating with developers to optimize database design and query performance.
You will lead the design and architecture of complex backend systems within the Datastore, including data models, event pipelines, and APIs. You will collaborate with cross-functional teams to translate requirements into scalable data infrastructure and mentor other engineers to maintain high standards.
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Lead the global change management strategy for a multi-year Oracle Fusion transformation across HR, Finance, and Supply Chain. Partner with executive leadership to drive system adoption and build lasting organizational change capabilities.
The Senior Software Engineer will design, build, and maintain scalable microservices and web applications while mentoring the development team on best practices. They will collaborate with stakeholders and the architecture team to define requirements and ensure the delivery of reliable, high-quality software solutions.
Lead the technical architecture and solution design for modern data platforms, including Microsoft Fabric, Azure, and Databricks. Partner with clients to translate business requirements into scalable, secure, and governed data solutions that support analytics and AI initiatives.
Design, develop, and maintain robust, scalable data pipelines within the GCP environment, focusing on BigQuery and Lakehouse architectures. Manage data ingestion from ERPs and APIs while ensuring data quality, governance, and security throughout the lifecycle.
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