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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Lead large-scale application portfolio discovery, assessment, and modernization roadmap development for complex enterprise clients. Design target-state cloud architectures and define migration strategies while collaborating with sales and platform advisory teams.
The Cybersecurity Engineer will design, implement, and maintain identity and access management controls while managing incident response and vulnerability assessments. They will collaborate with cross-functional teams to reduce identity-related risks and ensure compliance with security standards.
The Data Engineer will design, build, and optimize scalable cloud-based data pipelines and infrastructure to support government analytics. They will collaborate with cross-functional teams to modernize legacy data systems and ensure high-quality data delivery for mission-critical projects.
The Data Analyst will perform institutional research, including analyzing student data and creating enrollment, retention, and graduation dashboards. They will also assist in federal and state reporting, data validation, and ad-hoc predictive modeling projects.
Build and scale Go services for agent quoting and application submission tools while partnering with cross-functional teams. Provide architectural leadership and mentor team members to improve automation and CI/CD practices.
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The role involves building robust frontend applications with Vue.js 3 and developing HTTP APIs using Node.js and TypeScript. You will also integrate with third-party services like Twilio and OpenAI while maintaining internal TypeScript packages.
You will design and implement state-of-the-art machine learning models and training pipelines for robotics applications. Additionally, you will lead model development, rapid prototyping, and build robust evaluation systems to optimize performance.
You will work directly with customers to integrate and optimize AI solutions while contributing to product development and feature innovation. The role involves managing the full customer lifecycle from onboarding to ongoing support while collaborating across engineering and product teams.
You will lead technical demonstrations and proof-of-concept exercises to showcase AI-powered solutions to prospective customers. Additionally, you will partner with the sales team to design tailored solutions and build implementation plans that address specific business pain points.
Serve as the senior network subject-matter expert to support field teams, customer success, and engineering by diagnosing complex network issues. You will refine product recommendations, troubleshoot integrations, and create technical documentation to improve overall product robustness.
Serve as the primary subject-matter expert for endpoint security, providing deep technical guidance to sales engineering and customer success teams. Diagnose complex, engineering-level issues and collaborate with product teams to harden the platform and improve overall system robustness.
You will own the product vision and roadmap for Skylar Analytics, focusing on data modeling, reporting templates, and query capabilities. You will also drive the go-to-market strategy and collaborate with engineering teams to ensure data accessibility and value for customers.
You will build scalable data pipelines, infrastructure, and models to power internal analytics and customer-facing data products. Additionally, you will implement automated monitoring and leverage AI tools to optimize data quality and performance across the warehouse.
The Forward Deployed Engineer will provide technical expertise to customers, resolve complex technical issues, and build proof-of-concept solutions. They will also collaborate across engineering, sales, and support teams to drive product improvements and ensure a seamless customer experience.
The Senior Director will design and scale enterprise-grade platforms for deploying AI and data-driven applications across a global manufacturing ecosystem. This role involves leading multi-cloud architecture strategies, building developer platforms, and ensuring secure, compliant AI deployment.
You will own the technical roadmap for backend services and drive architectural decisions across interdependent systems. Additionally, you will mentor engineers, review designs, and contribute hands-on code for high-risk technical problems.
The Senior Architect leads the design, development, and optimization of complex architecture strategies, specifically focusing on the Digital Chat Platform. They provide strategic consultation to business customers and mentor team members to ensure high-quality, scalable application development.
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The AI Solutions Analyst will bridge client requirements with technical AI system performance by designing, tuning, and monitoring AI-enabled solutions. They will facilitate client discovery sessions and use evaluation data to diagnose system behavior and improve output quality.
You will own the data warehouse and pipelines, designing the data platform architecture to support business analytics. You will collaborate with cross-functional teams to ensure data quality, security, and scalability while leveraging AI tools to accelerate delivery.
The Lead Engineer will own the architecture and delivery of full-stack solutions while driving technical strategy across web and API layers. They will also lead and mentor a geographically distributed engineering team to ensure high-quality software delivery and alignment with product goals.
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Design, implement, and maintain high-performance backend services and cloud-native infrastructure on AWS. Provide technical leadership through code reviews, architecture decisions, and team mentoring.
The Senior Instructional Designer will design, develop, and deploy engaging learning solutions, specifically focusing on an AI Journey and Mindset training for a biopharmaceutical client. This role involves leveraging AI tools for content creation and managing the full lifecycle of learning projects within a fast-paced environment.
The Senior Microsoft Infrastructure Administrator is responsible for the administration, security, and sustainment of the enterprise Microsoft infrastructure environment. This role involves providing expert-level engineering support across Microsoft 365, Azure Government, and endpoint management platforms while serving as a senior escalation point for incidents.
The Microsoft Infrastructure Administrator provides hands-on technical administration, configuration, and sustainment of Microsoft 365, Azure Government, and endpoint management platforms. This role ensures a secure and compliant enterprise infrastructure while resolving day-to-day technical tasks and supporting team continuity.
The engineer will build and maintain custom SAP Commerce extensions and integrate the platform with enterprise systems like ERP, PIM, and CRM. They are responsible for end-to-end ownership of the platform, including troubleshooting production issues and shaping the headless architecture.
The Analytics & Finance Manager will own and scale analytics for the international business, partnering with leadership to drive strategic insights. They will build infrastructure, develop financial models, and translate complex data into actionable executive presentations.
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The AI Engineer will design, develop, and deploy AI-powered search systems and machine learning models. They will also collaborate with cross-functional teams to integrate these solutions while monitoring and improving model performance.
Design, build, and maintain scalable data pipelines and ETL/ELT workflows while developing Document AI solutions for intelligent processing. Collaborate with stakeholders to implement machine learning models and ensure system reliability across cloud and on-premise environments.
The Solutions Engineer manages the end-to-end data workflow for clients, ensuring accurate ingestion, processing, and delivery of healthcare datasets. They also develop automation tools and collaborate with engineering and clinical teams to maintain high standards of data integrity and compliance.
The representative will manage customer inquiries across multiple channels including email, chat, and phone while resolving issues and maintaining accurate records. They will also collaborate with internal teams to ensure high levels of customer satisfaction and professional service.
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