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 Senior QA Tester will perform integration, regression, and functional testing to ensure systems meet business and technical requirements. They will collaborate with cross-functional Scrum teams to analyze requirements, create test cases, and contribute to process improvements.
The Data Scientist designs and develops algorithms and models to create business insights while leading data science initiatives that drive profitability and efficiency. They are responsible for communicating complex analytical findings to non-technical stakeholders and collaborating with cross-functional teams to support business goals.
The Senior Sales Engineer acts as the technical backbone of the sales organization, working with account executives to design, propose, and demonstrate the business value of Arctic Wolf solutions. Responsibilities include providing technical expertise through demos and POVs, managing the technical win, and mentoring new hires.
The specialist will act as the primary analytics contact for business teams, managing reporting requests and coordinating dashboard delivery. They are also responsible for conducting training sessions and promoting best practices for analytics tool adoption.
Design, develop, and deploy AI and Machine Learning solutions using Python, Generative AI, and data science techniques. Collaborate with clients and internal teams to translate business challenges into scalable, production-ready technical solutions.
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The SharePoint Developer will design, configure, and maintain SharePoint sites, workflows, and collaboration tools to support program execution. Additionally, they will implement software quality assurance programs and ensure testing methods meet industry standards.
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You will design and implement end-to-end technical solutions for a cloud enterprise platform using Python and React. Additionally, you will maintain system resilience, investigate production issues, and leverage AI tools to optimize development workflows.
Review AI-generated transcripts for accuracy, ensuring correct formatting, punctuation, and capitalization. Provide feedback on recurring issues and ensure all tasks meet project-specific quality standards.
Review and verify AI-generated transcripts for accuracy, consistency, and adherence to project guidelines. Identify and correct issues related to formatting, punctuation, capitalization, and text normalization.
The engineer will administer and optimize Azure Virtual Desktop environments using Nerdio Manager for Enterprise while managing endpoint security and lifecycle operations. Responsibilities include maintaining golden images, configuring Microsoft Intune policies, and supporting identity security through Microsoft Entra ID.
The Senior Data Analyst will support financial planning, analysis, and reporting for Signet Diamond Sourcing, focusing on inventory accounting and cost of goods sold. This role involves developing data pipelines, maintaining financial dashboards, and collaborating with cross-functional teams to optimize operational efficiency.
The Technical Business Analyst will lead discovery workshops to elicit and document technical requirements while acting as a bridge across concurrent data platform workstreams. They are responsible for maintaining project artifacts, managing scope, and ensuring architectural decisions are consistently reflected across all client deliverables.
The Software Engineer II will design, develop, test, and support software solutions throughout the full development lifecycle. They will also collaborate with Agile teams to ensure high-quality, maintainable code and participate in technical discussions to support business goals.
The Platform Integration Specialist will manage and connect digital campaign data between the company's data warehouse, external sources, and new API builds. The role involves providing client-facing support, creating API documentation, and troubleshooting system disconnects.
You will design and own the technical enablement curriculum for the partner ecosystem and build a partner-facing demo library. Additionally, you will serve as the technical point of contact for strategic partners and provide support for complex deals and architecture reviews.
Develop, maintain, and scale Flow Registry features within the Duo Workflow Service and GitLab monolith. Collaborate with cross-functional teams to design APIs and integrate artificial intelligence capabilities effectively.
The Staff Industrial Engineer will design building layouts and optimize supply chain flows to improve fulfillment efficiency and merchant experience. They will also lead continuous improvement initiatives, manage operational projects, and provide technical guidance to cross-functional teams.
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The Senior Software Engineer will lead the technical roadmap and architectural decisions for the Paid Marketing technology pod. They will also drive cross-team initiatives, mentor engineers, and partner with product and marketing leaders to enhance system scalability and developer productivity.
You will lead the technical roadmap and architectural strategy for the Paid Marketing technology pod to build scalable, reusable systems. Additionally, you will drive cross-team initiatives and mentor engineers while partnering with product and marketing leadership to enhance developer productivity.
You will design, build, and maintain scalable real-time data pipelines and backend services using Python and Go. Additionally, you will act as a technical bridge to clients, ensuring smooth API integrations and high system performance.
You will build AI-driven products such as agents, chatbots, and automated data systems to enhance the company's educational platform. You will also collaborate with Data Platform and Analytics Engineering teams to ensure system reliability and performance in production.
The engineer will stabilize and scale a healthcare platform by managing full-stack product development and backend cloud infrastructure. Responsibilities include building patient-facing applications, developing APIs, and ensuring secure, compliant data integration.
The Solutions Architect will align technology with business requirements for AMI projects and lead data strategies for IT/OT organizations. They are responsible for overseeing the design, development, and deployment of AMI systems while ensuring compliance with technical standards.
Own and deliver the year-end financial audit data workstream, including transactional data ingestion and reconciliation. Collaborate with accounting stakeholders to resolve data discrepancies and build robust reporting pipelines in Snowflake and Looker.
The Senior Quality Engineer will lead a team of QA testers to implement automated testing frameworks and quality assurance strategies across SaaS and on-premises products. They are responsible for performance management, coaching, and ensuring the team meets corporate quality goals through continuous improvement and effective stakeholder communication.
The Go-To-Market Data Analyst will analyze marketing performance across channels and build reporting that connects marketing activity to sales pipeline and revenue outcomes. They will also partner with cross-functional teams to improve data quality, support annual planning, and develop data agents for marketing purposes.
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The Senior Data Analyst will design measurement strategies, interpret complex data sets, and surface insights to inform business decisions across marketing, product, and UX teams. This role also involves leading analytics workstreams, mentoring junior staff, and integrating AI-augmented tools into the company's service delivery.
Design, build, and validate predictive models and causal inference solutions to address complex business problems for clients. Manage the full model lifecycle from exploratory analysis through to production deployment and monitoring.
The consultant will architect, deliver, and maintain critical cloud platform components including AWS EKS environments and telemetry pipelines. They are responsible for establishing SRE standards, automating deployment workflows, and providing high-level technical advisory to ensure platform resilience.
You will design and build robust ETL/ELT pipelines to transform raw product data into clean, usable datasets for analytics and data science teams. Additionally, you will collaborate with cross-functional stakeholders to provide visibility into product health, adoption, and performance through automated workflows and dashboards.
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