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 secure cloud configurations across GCP, Azure, and AWS while managing security alerts via SIEM. Act as a trusted advisor to clients by providing strategic guidance on SaaS security, compliance, and incident response.
Lead the analytical strategy and experimentation frameworks to solve complex business problems across product, growth, and monetization. Partner with senior leadership to translate data findings into actionable recommendations that drive company growth.
Provide technical support for the installation, maintenance, and restoration of medical imaging systems like MR and CT. Act as the primary interface between customers and GE HealthCare to ensure high-quality service and communication.
Translate high-level business requirements into detailed functional specifications and technical design documents. Collaborate with technical leads and cross-functional teams to solve issues and implement functional alternatives for Oracle ERP modules.
Lead and grow the AI practice by developing the AI portfolio and managing a team of experts. Advise clients on AI strategies and architectures while overseeing projects from conception to productive implementation.
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Develop and scale production-ready Generative AI solutions, including RAG and AI agents, to automate business processes. Collaborate with clients to design AI architectures and integrate LLM-based workflows into existing system landscapes.
Train and iterate on custom ML models for customer feedback tasks including extraction, retrieval, and sentiment analysis. Build LLM-powered features and evaluation frameworks while collaborating with engineering to integrate models into production pipelines.
Develop and optimize secure software applications for the digital justice sector based on customer requirements. Collaborate with developers, testers, and product owners to implement new functions and resolve operational errors.
Act as the technical bridge between the product and customers by managing onboarding, technical integrations, and data migrations. Responsible for diagnosing and solving technical issues in the PHP/Symfony backend and TypeScript layer while providing feedback for product development.
Develop and maintain robust data pipelines and analytical data models using SSIS and SSAS. Build reporting solutions with Power BI and SSRS while optimizing SQL Server performance and ensuring data quality.
Design and implement scalable data pipelines and microservices using Java, K8S, and AWS to integrate various financial asset types. Develop end-to-end ETL workflows and enrich financial data through third-party integrations while ensuring high availability and data governance.
The role involves bridging the gap between technical AI possibilities and business requirements to drive digital transformation for clients. Responsibilities include managing cross-functional workstreams, developing data strategies, and creating AI use cases and BI solutions.
The role focuses on automating server provisioning, configuration, and system maintenance to ensure platform stability. It involves building auto-healing mechanisms and automating disaster recovery workflows and failover processes.
The role focuses on monitoring infrastructure health and managing system alerts using tools like New Relic and Prometheus. It also involves executing disaster recovery plans, performing root cause analysis, and ensuring high availability for payment systems.
Provide advanced technical assistance and troubleshooting for complex customer issues across multiple products and platforms. Collaborate with development teams to resolve critical bugs and maintain detailed technical documentation.
Develop high-quality data models and scalable ELT pipelines to support internal and external healthcare clients. Implement data quality checks and business intelligence dashboards to drive strategy and improve patient outcomes.
The engineer will design and develop scalable, high-performance backend architectures for HR management systems. Responsibilities include writing maintainable code, performing code reviews, and driving technical architecture initiatives.
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Design, build, and optimize ETL/ELT pipelines to transform data into actionable datasets for business strategy. Maintain data lakes and feature stores to support the ML Engineering team in developing subrogation solutions.
Design, build, and optimize ETL/ELT pipelines to transform data into actionable datasets. Partner with product teams to develop reporting tools and maintain data lakes for ML engineering solutions.
Act as the technical and business liaison between security teams and internal customers to drive ThreatOps and Vulnerability Management maturity. Lead the strategic roadmap for VM tools, converting user feedback into prioritized backlogs and automated systems.
Embed security into the feature design and development process through threat modelling and design reviews. Balance security risks with delivery needs while leveraging AI tools to accelerate triage, detection, and code reviews.
Build and optimize data pipelines using Python, Databricks, and PySpark for batch and real-time processing. Collaborate with stakeholders to deliver end-to-end data products and maintain the analytical database ecosystem.
Develop and maintain critical banking applications within a Mainframe environment. Manage DB2 databases and batch processes using JCL while providing evolutionary and corrective support for legacy systems.
Design and implement scalable data pipelines and microservices using Java, Kubernetes, and AWS to integrate various financial asset types. Develop end-to-end ETL workflows and enrich financial data through third-party integrations while ensuring high availability and data governance.
Design and implement resilient multi-cloud environments across AWS and GCP for large enterprise clients. Bridge the gap between business strategy and technical execution while maintaining accountability for delivery outcomes.
Responsible for the setup, operation, maintenance, and reliability of databases supporting IT service operations and ITSM processes. This includes ensuring stability, performance, security, and compliance for operational tooling and reporting databases.
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Develop and maintain scalable data architectures, processing platforms, and database structures to support business analytics. Oversee junior data engineers and collaborate with Data and Analytics teams to ensure effective data governance.
Collaborate with development and infrastructure teams to create optimal conditions for modern software development. Automate and continuously improve build, test, and deployment processes using AI-supported tools.
Manage and secure cloud infrastructure, networking, and Linux-based environments to ensure platform reliability and scalability. Develop Infrastructure-as-Code and CI/CD pipelines while driving the adoption of AI-assisted operations (AIOps).
Collaborate with internal and external teams to define system requirements for fault-tolerant quantum computing. Develop novel approaches for real-time quantum error correction and calibration across various qubit modalities.
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