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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You will architect and oversee Shopify stores while providing strategic guidance on performance, SEO, and conversion optimization. Additionally, you will lead development teams, mentor developers, and collaborate with sales to scope projects and identify growth opportunities.
You will drive quality throughout the software development lifecycle by partnering with cross-functional teams to embed quality from the start. You will also design and maintain automated tests across various layers while leveraging AI-powered tools for test generation and defect analysis.
Develop and enhance Salesforce Service Cloud solutions, including Omni-Channel routing and capacity management. Build scalable applications using Apex and Lightning Web Components while maintaining integrations with third-party systems.
The specialist will manage organic growth, lead generation, and content distribution across multiple digital platforms using AI-driven workflows. They are responsible for CRM management, campaign performance tracking, and executing SEO strategies to improve search visibility.
Design and build AI agents to analyze ServiceNow Discovery logs, classify failures, and perform root cause analysis at enterprise scale. Convert operational runbooks into reusable agentic workflows to improve discovery reliability and reduce manual investigation.
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The Enterprise Account Manager will build and maintain strong relationships with insurance brokers while facilitating platform onboarding and support. They will act as a bridge between customers and the internal technology team to synthesize feedback and drive product improvements.
Design, build, and maintain scalable Node.js and TypeScript microservices and background workers within a cloud-native architecture. Collaborate with cross-functional teams to develop event-driven workflows and user-facing applications while ensuring high standards of code quality and system reliability.
You will build and maintain features across React microfrontends, serverless Node.js functions, and Fastify services while managing AWS infrastructure. Additionally, you will contribute to shared business logic, maintain legacy ASP.NET code, and utilize AI coding tools to enhance development efficiency.
Develop, maintain, and deploy full-stack applications while collaborating with cross-functional teams to solve operational challenges. Ensure high-quality code, perform troubleshooting, and mentor other developers to support organizational technology goals.
You will architect and deploy automated security layers, including AI-enabled code scanning and CI/CD pipeline integrations. Additionally, you will act as a technical SME to provide code-level remediation guidance to development teams.
The Senior Full Stack Engineer will develop and extend an internal developer portal using a custom Java backend and TypeScript frontend. They will also integrate the application with Snowflake and various database environments while ensuring code quality through testing and performance profiling.
Design and maintain scalable data pipelines and automation systems to support cloud cost visibility and performance insights. Partner with Engineering and Finance stakeholders to implement data models and optimize data systems for cost efficiency and reliability.
You will build and maintain backend services, automation workflows, and Salesforce API integrations to support a GTM data platform. Additionally, you will contribute to AI-assisted sales automation initiatives and work within an agile sprint environment.
The Director will oversee complex cybersecurity consulting engagements, ensuring high-quality delivery and strategic alignment with client needs. They will also provide leadership and mentorship to consulting teams while supporting business growth and account expansion.
The Vice President will set the strategic direction for the consulting practice while maintaining executive ownership of client delivery and operational excellence. They will lead senior consulting teams, drive business growth, and serve as a trusted advisor to C-suite executives during complex cybersecurity engagements.
Design, develop, and maintain web, mobile, and backend applications while implementing new features and optimizing existing solutions. Collaborate with multidisciplinary teams to build scalable microservices and integrate REST APIs within the payment processing ecosystem.
Design and implement scalable analytical data models using dimensional modeling best practices and DBT transformations. Collaborate with stakeholders to translate business requirements into reliable data solutions while managing ELT pipelines and data governance.
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Design and develop modern, user-friendly business websites from initial concept through final launch using CMS platforms like WordPress. Collaborate with stakeholders to translate business objectives into digital experiences while optimizing for SEO, performance, and accessibility.
Participate in a four-day hands-on bootcamp to build practical skills in AI-powered commerce and customer engagement. Complete practical challenges and collaborate with team members to compete for prizes and potential future roles.
Lead the organic distribution engine by creating technical pillar pages optimized for both traditional SEO and AI search models. Execute a LinkedIn thought leadership strategy to position the founding team as industry influencers for enterprise executives.
Architect and build automated security layers within the SDLC, including AI-enabled secure code scanning and CI/CD tooling integration. Provide code-level remediation guidance to development teams and develop automated security runbooks.
Own the technical architecture and release process for a React Native reader application using Expo and EAS. Focus on improving CI/CD workflows, maintaining app store releases, and establishing engineering best practices.
Design and maintain scalable data pipelines and architectures to power data warehouses, LLM-driven applications, and AI-based BI. Develop RAG workflows, manage prompt engineering, and implement natural language query experiences for analytics.
Design, develop, and deploy Generative AI solutions using LLMs and multimodal technologies. Build scalable AI applications and optimize RAG architectures while ensuring compliance with AI governance and security standards.
Design, develop, and maintain scalable full-stack SaaS applications from early-stage concepts. Integrate AI tools and APIs to enhance product capabilities and overall user experience.
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The Growth Architect will design and optimize the end-to-end customer acquisition funnel while leading a distributed team of marketing specialists. They are responsible for managing paid media performance, establishing marketing workflows, and ensuring cross-functional alignment to drive revenue growth.
You will design, implement, and scale the platform's core backend systems and data pipelines while leading end-to-end development for critical features. Additionally, you will define architecture standards for security and identity management while collaborating with cross-functional teams.
The primary focus is building an interactive, web-based 3D product visualization platform from scratch, requiring expertise in 3D rendering, performance optimization, and parametric scaling. Additionally, the role involves developing internal tools for sales and production workflows and maintaining the public-facing website.
The role involves splitting time between developing the Chiri Brain governed AI control plane and orchestration systems (60-70%) and designing/shipping real-world applied AI systems involving data ingestion, computer vision, and intelligent scoring workflows (30-40%). Responsibilities include building AI control-plane primitives, implementing auditable inference pipelines, and designing scalable data ingestion and scraping systems.
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