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 developer will be responsible for designing, developing, and maintaining new and existing applications throughout the full software development lifecycle. This includes performing code reviews, discussing design trade-offs, and providing support for production deployments.
The developer will implement solutions from coding to testing and participate in the full development lifecycle. Responsibilities also include developing new features, maintaining existing applications, and troubleshooting production issues.
The developer will digest requirements from the product team to build scalable cloud-based solutions. They are responsible for the full development lifecycle, including coding, testing, and production deployment support.
You will design and evolve a streaming lakehouse architecture while building distributed pipelines to ensure low-latency data movement. Additionally, you will contribute to self-service and agentic layers to support AI-driven products and cross-functional data needs.
You will define and build the HTS API Marketplace from the ground up, managing the commercial model, developer experience, and product roadmap. You will coordinate with cross-functional teams to package technical capabilities into enterprise-grade API products that drive revenue.
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The Quality Assurance Engineer will design, implement, and maintain scalable automated testing frameworks while collaborating with cross-functional teams to improve automation coverage. They will also integrate testing into CI/CD pipelines and advocate for testability throughout the software development lifecycle.
You will design, scale, and maintain secure cloud architectures while executing complex cloud migrations and integrating AI/MLOps workflows. The role involves collaborating with engineering and platform teams to ensure high availability and operational excellence in enterprise environments.
The Principal Engineer will own the end-to-end architecture and technical strategy for the platform, including real-time video commerce and AI-driven personalization. They will also lead engineering standards, mentor team members, and tackle high-impact technical challenges to ensure system scalability and reliability.
You will lead infrastructure security initiatives, defining architectural patterns and security automation across GitLab's SaaS and self-managed platforms. Additionally, you will conduct threat modeling, mentor engineers, and drive business outcomes by pragmatically implementing security capabilities.
Design, build, and maintain full-stack, AI-powered internal applications and agentic solutions to automate workflows. Collaborate with cross-functional teams to identify critical challenges and deliver scalable technical solutions that drive measurable business outcomes.
You will be responsible for developing and maintaining web applications using Java and related frameworks while collaborating with design and product teams. Additionally, you will implement RESTful APIs, integrate third-party services, and ensure code quality through testing and continuous improvement processes.
You will develop and maintain high-performance APIs and microservices using Go to support global payment infrastructure. You will also take end-to-end ownership of features while collaborating with cross-functional teams to solve complex payment challenges.
You will own features end-to-end, from database schema to shipped UI, while operating within a high-leverage, agentic development model. You will collaborate with product managers and designers to build scalable, high-performance solutions across the entire product suite.
Develop novel machine learning methods and contribute to the team's research agenda to improve computer vision applications. Translate research findings into scalable production systems while identifying areas for innovation.
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.
Design and implement scalable technical solutions to solve complex business problems. Maintain and monitor services while deploying frequent updates to ensure high-quality performance for customers.
You will spearhead the development of innovative AI-driven solutions and deploy scalable products leveraging LLMs to support the payment orchestration platform. Additionally, you will design and optimize prompts while collaborating with cross-functional teams to integrate AI features into existing payment workflows.
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The Research Engineer will translate complex research hypotheses into tangible AI applications and build robust infrastructure for scientific experimentation. They will also lead scientific publications and collaborate across multidisciplinary teams to integrate theoretical research into practical business solutions.
The role involves leading technical strategy and execution for data science projects while mentoring team members. It also requires developing end-to-end AI models and acting as a bridge between technical teams and business stakeholders.
The developer will build and ship functional, AI-enabled applications in iterative cycles while working across the stack. They will collaborate with product and AI teams to transform complex government datasets into usable, reliable software solutions.
Design, develop, and maintain applications and modules within the Ellucian Banner system while implementing integrations with other institutional systems. Lead technical projects, perform system upgrades, and provide advanced-level support for Banner-related incidents.
Lead and mentor a high-performing squad of engineers while fostering a culture of technical excellence. Architect complex back-end solutions and collaborate with stakeholders to align engineering efforts with business goals.
The Senior Data Engineer will manage the transition and modernization of client data platforms by developing ELT pipelines and implementing dbt-based transformation frameworks. They will also be responsible for monitoring production workflows, troubleshooting operational issues, and ensuring data quality through automated validation.
You will own end-to-end performance marketing campaigns and drive enterprise lead generation using AI-powered workflows. You will also be responsible for testing growth hypotheses and creating high-converting ad messaging.
Provide remote support for mission-critical SAP applications by troubleshooting, developing, and delivering fixes for complex integrated environments. Design and operate services on SAP BTP while ensuring system stability, performance optimization, and adherence to security compliance.
You will own the quality assurance process for a digital board game platform by testing releases across web, mobile, and Discord. This involves validating bug reports, monitoring production, and proactively improving QA workflows.
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You will develop, configure, and implement scalable Order Management System solutions while collaborating with cross-functional teams to design complex workflows. Additionally, you will integrate OMS platforms with enterprise systems like ERP and CRM to ensure seamless order lifecycle management.
Design, build, and maintain scalable backend services for a global financial platform while integrating AI-powered features. Collaborate across cross-functional teams to ensure reliable, secure, and performant infrastructure for financial transactions.
Design, build, and maintain production-grade LLM integration pipelines and AI features within the core financial platform. Collaborate with cross-functional teams to deploy reliable, scalable AI models and ensure operational visibility through monitoring and instrumentation.
You will be responsible for managing the semantic data layer and ensuring data governance to provide consistent business logic across the company. Additionally, you will collaborate with stakeholders to translate business requirements into efficient dimensional models while leveraging AI to automate data processes.
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