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 Business Intelligence Developer will provide analytical insights and develop data solutions to support clinical and business operations. Responsibilities include gathering requirements, performing quantitative analyses, and maintaining complex reports and databases using the Epic Cogito suite.
Lead the design and evolution of platforms, workflows, and governance practices to enable reliable machine learning systems at scale. Collaborate with data science and engineering teams to standardize ML tooling, improve infrastructure automation, and ensure model lifecycle efficiency.
The architect will support Oracle Cloud ERP functionalities, gather business requirements, and design workflows to align with business processes. They will also manage system integrations, conduct UAT, and implement AI features using Oracle Agentic AI studio.
The consultant will manage Salesforce configurations, perform impact analysis for patches, and handle production support and incident management. They are also responsible for documenting requirements, creating design models, and training business users on Salesforce process flows.
Design, develop, and maintain automated ETL pipelines using Python and Apache Airflow. Optimize SQL queries for data warehouse performance and ensure data quality through rigorous testing and documentation.
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The Seismic Business Analyst will define and manage content governance, taxonomy, and workflows while partnering with cross-functional teams to optimize platform usage. They are responsible for documenting business requirements, coordinating system integrations, and supporting UAT and post-production activities.
Design, build, and maintain serverless applications to orchestrate data pipelines across Snowflake, Salesforce, and API-driven platforms. Architect complex multi-step workflows and optimize data transformations while ensuring reliable execution across environments.
Develop and deliver production-grade machine learning and NLP applications using a full-stack approach. Build end-to-end products ranging from backend APIs to frontend user interfaces.
The Senior Data Engineer will own the technical design, implementation, and operational support of a greenfield data platform using Python, Kubernetes, and AWS. They will lead complex platform initiatives and modernize legacy data systems while ensuring scalability, reliability, and performance.
Lead the end-to-end design, configuration, testing, and deployment of integration interfaces for large-scale ADMS programs. Collaborate with utility stakeholders and vendors to ensure data exchanges are reliable, secure, and compliant with operational standards.
You will build and own end-to-end features that drive organic growth, including referral systems, social sharing flows, and engagement loops. You will collaborate directly with the CEO and product team to design, implement, and iterate on systems that reach millions of users.
Collaborate with sales and support teams to drive EU expansion while interfacing directly with customers to gather feedback and resolve technical issues. Design, develop, and optimize full-stack features, including frontend interfaces and backend services, while implementing AI-driven interview technology.
You will own the end-to-end marketing measurement strategy, including attribution, incrementality testing, and media mix modeling. You will also collaborate with growth and marketing teams to provide actionable insights that drive pipeline and revenue efficiency.
The Technical Lead will drive the architecture, strategy, and governance of Lime's core applications ecosystem to ensure scalable and resilient business systems. They will lead complex cross-functional initiatives, design automation solutions, and act as a senior escalation point for technical and platform decisions.
You will manage Tier 1 client accounts, handling implementations, data migrations, and API enablement. Additionally, you will collaborate with Product and Engineering teams to develop internal tooling and provide technical troubleshooting for client workflows.
The Implementation Engineer will manage Tier 1 client accounts, overseeing implementations, data migrations, and API enablement. They will also collaborate with Product and Engineering teams to develop internal tooling and provide technical support for client workflows.
The Lead Architect acts as a bridge between platform engineering and application development teams to build scalable, cloud-forward solutions. They are responsible for mentoring staff, establishing engineering best practices, and facilitating cross-functional workshops to drive technical innovation.
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The Senior Engineer designs and engineers high voltage cable systems, ensuring functionality, efficiency, and reliability throughout the project lifecycle. They also act as a technical consultant to customers and support manufacturing and installation teams to ensure technical surety.
The Senior Business Intelligence Analyst will design and implement enterprise-grade Power BI solutions and modernize the FP&A function through automation and data integration. They will serve as a strategic partner to business leaders, translating complex financial and operational data into actionable insights.
Perform emergency repairs, installations, and routine maintenance on advanced robotics systems at customer worksites. Collaborate with internal teams to resolve technical issues and ensure high customer satisfaction metrics.
The Forward Deployed AI Engineer will build and prototype full-stack AI/ML applications while partnering with strategic customers to drive AI use cases from prototype to production. They will also shape enterprise AI architecture and codify successful solution patterns into repeatable reference architectures.
Manage and deliver transportation and municipal infrastructure projects while coordinating with contractors, clients, and regulatory agencies. Provide technical guidance to staff and support business development efforts through client relationship management and project pursuits.
The role involves reviewing and labeling clinical data to ensure accuracy and alignment for AI model development. The incumbent will collaborate with technical teams and subject matter experts to resolve discrepancies and educate stakeholders on clinical AI solutions.
The role involves reviewing and labeling clinical data to ensure accuracy and alignment for AI model evaluation. The incumbent will act as a clinical subject matter expert to resolve discrepancies and collaborate with technical teams to improve AI solution quality.
You will profile, benchmark, and analyze AI and HPC workloads on GPU and CPU clusters to identify performance bottlenecks. Additionally, you will collaborate with cross-functional teams to develop diagnostic tools and provide actionable performance insights.
The Coder Inpatient is responsible for reviewing medical records to assign accurate diagnostic and procedural codes for reimbursement and statistical analysis. They must maintain compliance with regulatory standards while ensuring high-quality coding productivity in a remote environment.
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You will serve as the Technical Lead for the Azure Integration & Digital Applications Team, designing and delivering modern cloud-native solutions. This role involves leading the development of scalable enterprise platforms, APIs, and web applications across various digital ecosystems.
You will collaborate with cross-functional teams to design, build, and implement innovative Dynamics 365 solutions within an Agile environment. Responsibilities include writing clean, scalable code, performing code reviews, and mentoring junior team members to support customer missions.
You will own AI-driven products end-to-end, from prototyping to production, while setting technical and product direction for LLM and agentic systems. You will also design and build scalable distributed systems and implement evaluation harnesses to ensure model reliability and performance.
You will lead the design and implementation of core automation frameworks and performance testing systems while driving large-scale quality initiatives. Additionally, you will perform root cause analysis on product defects and integrate AI into the quality workflow to improve testing efficiency.
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