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, build, and operate scalable platforms that provide real-time inventory intelligence across store shelves. Collaborate with cross-functional teams to integrate machine learning models and data pipelines into production systems.
The Senior Systems Administrator is responsible for the daily administration, monitoring, and maintenance of Cisco UCS domains and VMware vSphere/VCF infrastructure. They will also ensure compliance with security standards, perform disaster recovery testing, and manage server profiles and firmware updates.
The role involves designing and developing complex information systems solutions while providing technical direction for application development projects. The developer will also monitor the activities of less experienced personnel and ensure systems meet business strategic objectives.
The Platform Engineer II will manage and maintain the AWS infrastructure, including EKS clusters and various cloud services. They will also collaborate with application teams to improve observability, stability, and CI/CD pipeline efficiency.
Lead the architectural design and technical direction for PaaS products while mentoring engineering teams to ensure system scalability and reliability. Collaborate with stakeholders to translate requirements into technical specifications and drive the development of high-quality software solutions.
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You will establish and grow the platform engineering function by building and maintaining multi-cloud infrastructure across GCP and AWS. Additionally, you will own developer tooling, standardize CI/CD pipelines, and enhance security and observability practices.
Lead the development and implementation of AI and machine learning solutions on the Azure platform. Build and operationalize Generative AI applications, including RAG solutions and intelligent assistants.
Develop and evolve high-performance web applications using Java and Spring Boot. Create and maintain scalable microservices while ensuring quality, security, and adherence to development best practices.
Develop and evolve high-performance web applications using Java and Spring Boot. Create and maintain scalable microservices while ensuring quality, security, and adherence to development best practices.
You will own the design and development of complex software systems and platforms while driving architectural decisions to ensure scalability and reliability. Additionally, you will mentor other engineers and collaborate with cross-functional partners to translate requirements into high-quality technical solutions.
You will identify and mitigate security risks within cloud-native applications while partnering with engineering teams to embed security into the development lifecycle. Additionally, you will manage security infrastructure, mentor junior staff, and contribute to incident response and operational metrics.
The Business Analyst will translate business needs into clear functional and technical requirements for web-based applications and integrated systems. They will collaborate with stakeholders, developers, and QA teams to ensure alignment throughout the development lifecycle.
You will build and maintain an AI-driven metadata engine and automated ownership reassignment logic within an enterprise platform. The role involves refactoring legacy code, managing agent and MCP inventory, and delivering features through agile sprints.
The Research Administrator provides comprehensive pre-award and post-award administrative support to faculty and investigators, including budget preparation and financial management. They also monitor account activities, ensure compliance with sponsor regulations, and facilitate training on research administration best practices.
The Senior Solutions Architect will partner with Global Systems Integrators to design and implement enterprise AI solutions using the NVIDIA platform. This role involves building AI agent workflows, conducting technical pilots, and evangelizing accelerated computing to key stakeholders.
The Senior Cloud Engineer will lead cloud configuration management, automation, and orchestration efforts across global platforms. They will provide technical leadership, define best practices for CI/CD and infrastructure, and collaborate with product teams to ensure secure and scalable cloud solutions.
The Senior Manager will lead end-to-end risk-based GCP auditing activities and ensure compliance across internal and external global development programs. They will also represent Quality Assurance in complex compliance initiatives and support regulatory inspection activities.
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The Senior Manager will lead end-to-end risk-based GCP audits across internal and external global activities to ensure compliance. They will also represent Quality Assurance on complex initiatives and support regulatory inspection activities.
Lead end-to-end risk-based GCP audit programs and represent Quality Assurance on complex compliance initiatives. Collaborate with global development teams and external partners to ensure adherence to regulatory standards and drive process improvements.
The selected candidate will design, develop, and maintain backend services using Java and Spring Boot within a microservices architecture. They will also be responsible for integrating these solutions with core banking systems and ensuring high standards of API security and performance.
The Senior Pharmacy Performance Specialist acts as a liaison between Finance, Analytics, IT, and Pharmacy to manage data content and business logic. This role involves gathering requirements, performing analysis, and supporting the development and testing of processes for the Pharmacy Department.
The Senior Data Engineer will design, develop, and maintain complex data systems and warehousing solutions to support pharmacy benefit management. They will collaborate with cross-functional teams to optimize database performance and ensure compliance with healthcare data standards.
Design and optimize scalable enterprise data architectures and BI solutions to transform raw data into reliable, accessible information. Collaborate with cross-functional teams to implement data pipelines, dimensional models, and reporting dashboards while ensuring data security and governance.
Design, develop, and maintain enterprise-level Power BI reports, dashboards, and scalable semantic models. Collaborate with cross-functional teams to optimize data queries and ensure high-quality business intelligence solutions.
Design, build, and maintain enterprise-scale semantic models within Microsoft Fabric using star schema architecture. Collaborate with cross-functional teams to optimize query performance, data connections, and memory utilization for large-scale reporting.
You will design, deploy, and optimize multi-agent workflows using Google's GECX platform and custom code tools. This involves writing backend logic, managing agent hierarchies, and automating quality testing for customer-facing AI solutions.
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The Director will drive business development by selling a portfolio of AI and IT services while building strategic, long-term client partnerships. They will lead consultative sales engagements, manage the sales pipeline, and collaborate with technical teams to deliver customized technology solutions.
You will lead the architectural direction of the platform team, focusing on scaling data pipelines and integrating AI-assisted development practices. This involves hands-on coding, mentoring engineers, and modernizing legacy systems into scalable, AI-native infrastructure.
Manage and evolve cloud infrastructure on AWS/Azure while ensuring cluster reliability and scalability for AI-driven analytics. Oversee monitoring, security, network design, and cost optimization across the stack.
The AI/ML Engineer will develop and integrate LLM-enabled software, RAG capabilities, and multi-step AI workflows into operational systems. They are responsible for designing inference pipelines, evaluating AI system performance, and documenting technical findings.
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