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 Forward Deployed Engineer acts as the technical owner for strategic accounts, guiding them from pre-sales validation through production deployment. They design and build Alkira-based network solutions while collaborating with product teams to shape the roadmap based on customer needs.
Design and implement optimization algorithms for auctions, bidding strategies, and pacing to balance advertiser performance and user experience. Own the end-to-end lifecycle of these systems from problem formulation and algorithm design to production deployment.
Lead the end-to-end sales cycle for the Applied AI practice, from sourcing opportunities to designing agent architectures and closing engagements. Act as a technical advisor to translate operational pain points into scalable AI agent solutions and oversee the transition to delivery.
Drive high-impact operational initiatives to reduce costs and increase efficiency through rigorous data analysis and cross-functional project ownership. Develop business cases, build performance dashboards, and leverage AI tools to automate manual processes.
Own the end-to-end Shopify architecture and shared design systems across multiple storefronts to enable scalable brand launches. Develop AI-powered engineering workflows and maintain integrations between Shopify Plus and backend systems like CRM and CDP.
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Own the measurement and quality assurance of AI-generated financial advice by defining evaluation sets and analyzing scoring results. Translate findings into actionable recommendations for the AI/ML team to improve system performance and scale.
Design and maintain distributed public and private cloud platforms to support business requirements and infrastructure deployment lifecycles. Lead the implementation of PaaS, SaaS, and on-premises solutions while ensuring security, resiliency, and cost optimization.
Lead the creation and scaling of an AI-native market research service, defining the vision, methodologies, and quality standards. Partner with Product, Engineering, and GTM teams to integrate AI capabilities into research delivery and serve as the executive lead for strategic customer engagements.
The role involves managing the company's privacy program and establishing a responsible AI governance framework. This includes coordinating with cross-functional teams to ensure compliance with privacy laws and monitoring the evolving AI regulatory landscape.
Identify and automate manual workflows using AI tools and process optimization techniques. Analyze operational data to develop AI-assisted solutions and translate insights into actionable business recommendations.
Monitor and evaluate inbound and outbound customer interactions across calls, emails, and chat to ensure quality and compliance. Provide actionable feedback to teammates and collaborate with leadership to identify trends and improve operational processes.
Lead the development and management of strategic partnerships with imaging manufacturers and digital ecosystem partners to integrate Bracco's solutions into clinical workflows. Orchestrate cross-functional initiatives across R&D, regulatory, and commercial teams to accelerate ecosystem adoption and customer value.
The role focuses on administering and optimizing a mature Microsoft 365 environment for 26,000 users, with a heavy emphasis on the Power Platform and Copilot. Responsibilities include engineering scalable solutions, managing licenses, and implementing automation to improve enterprise productivity and security.
Design and maintain interactive dashboards and BI solutions to provide real-time visibility into project performance and operational metrics. Collaborate with stakeholders to define KPIs and transform complex data into actionable business intelligence for federal healthcare programs.
Design and implement enterprise reporting architectures and scalable data models to transform complex healthcare data into actionable insights. Collaborate with stakeholders to develop executive dashboards and optimize data pipelines for program leadership.
Coordinate the technical integration of enterprise healthcare systems, ensuring seamless connectivity between applications, infrastructure, and cloud environments. Collaborate with cross-functional teams and government stakeholders to manage implementation schedules, technical readiness, and production deployment.
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Transform operational, financial, and technical data into meaningful insights to support executive decision-making for federal healthcare modernization. Develop recurring reports, scorecards, and dashboards while collaborating with stakeholders to improve program performance.
The role involves planning, executing, and validating comprehensive testing activities across the software development lifecycle for federal healthcare systems. Key duties include creating test scripts, tracking defects, and collaborating with multidisciplinary teams to ensure high-performing technology solutions.
Lead application security across the software development lifecycle and implement security controls for web apps, APIs, and AI platforms. Perform penetration testing, vulnerability management, and cloud infrastructure security across AWS, GCP, and DigitalOcean.
Own the quality and methodology of data labeling across the organization, including designing annotation tasks and defining quality frameworks. Manage the Label Studio platform and oversee outsourced labeling vendors to ensure accurate and consistent datasets for production ML models.
Own the quality and methodology of labeled datasets used for production ML models, including designing annotation tasks and defining quality frameworks. Manage the Label Studio platform and oversee outsourced labeling vendors to ensure accuracy and throughput targets are met.
Lead the development of AI-powered financial planning interfaces across web, iOS, and Android platforms. Collaborate with the Head of Engineering to architect frontend systems and integrate AI-native interaction patterns.
Design and build new iOS features for a B2B financial platform, focusing on cash flow management, banking transactions, and AI-powered accounting. You will own the end-to-end development process, shape architectural decisions, and mentor other engineers.
Lead the design and delivery of high-impact decision science systems including forecasting, optimization, and recommendation engines. Establish modeling standards and mentor senior and mid-level data scientists to build the organization's decision science function.
Design and maintain distributed public and private cloud platforms to support business requirements and infrastructure deployment lifecycles. Lead the implementation of PaaS, SaaS, and on-premises solutions while ensuring security, resiliency, and cost optimization.
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Own and operate the enterprise data platform, focusing on Microsoft Fabric, Lakehouse management, and the creation of trusted Gold datasets. Build and maintain ETL/ELT pipelines while providing SQL Server administration support for GIS and other enterprise systems.
Lead the development of multi-generational thermal cooling roadmaps for AI data centers, focusing on high-density compute solutions. Collaborate with partners like NVIDIA to design and integrate innovative cooling technologies into system reference architectures.
Perform detailed bulk power system studies and IBR dynamic modeling using software like PSCAD, PSSE, and TSAT. Prepare technical reports and ensure project completion within quality and budget objectives.
Lead the technical integration of Meadow Pay with client IT systems, managing network connectivity and data flows. Collaborate with clients and internal teams to oversee technical setups, automate data transfers, and document integration processes.
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