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 engineer will manage and optimize cloud infrastructure, Azure Virtual Desktop environments, and internal applications while building security into every stage of the delivery pipeline. They will also participate in a follow-the-sun on-call rotation and leverage AI-assisted development to ensure scalable and reliable technology solutions.
You will build and scale critical product features across the full application stack, from user-facing interfaces to backend services. Additionally, you will leverage AI tools to enhance development workflows and contribute to architectural standards across the ecosystem.
You will design, develop, and maintain backend Java applications while integrating modern AI capabilities and agent-based workflows. You will also collaborate with software engineers and AI specialists to deliver scalable, production-ready solutions using clean, maintainable code.
You will build and improve production recommendation and ranking systems while developing personalization models across the eCommerce customer journey. Additionally, you will design experiments, build scalable inference services, and collaborate with cross-functional teams to translate business problems into measurable ML solutions.
You will join a global talent database for contract and freelance opportunities within the tech and gaming sectors. You are expected to provide your professional details to be matched with suitable roles as they arise.
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Implement AI strategy and integrate advanced AI capabilities like prompt orchestration and fine-tuning into client applications. Collaborate with cross-functional teams to deliver POCs and MVPs while ensuring responsible AI practices and security compliance.
Define and implement testing strategies while developing automated test frameworks for global IoT solutions. Contribute to backend development using .NET and integrate automated tests into CI/CD pipelines to ensure product quality.
The role involves collaborating with stakeholders to build deep learning models and integrating AI into software pipelines. You will also assist with data ETL processes and the deployment of applications to cloud-hosted environments.
Design, develop, and maintain complex web applications and backend services using Node.js and modern frontend frameworks. Lead code reviews, mentor team members, and contribute to system design decisions focusing on scalability and security.
The Service Technician is responsible for the installation, maintenance, and repair of various HVAC systems, including chillers and heat pumps. They are also tasked with performing commissioning, troubleshooting, and managing activity reports.
The Customer Success Engineer is responsible for protecting and growing SaaS and enterprise cloud customers by streamlining their data protection stacks. They act as a trusted advisor to drive product adoption, ensure customer loyalty, and meet net recurring revenue targets.
Design, build, and maintain end-to-end and regression tests while integrating automated testing into CI/CD pipelines. Perform load and performance testing using K6 and contribute to quality metrics and reporting dashboards.
The Automation Engineer leads the design, development, and maintenance of RPA solutions using UiPath to automate business processes. They collaborate with cross-functional teams to ensure technical standards, security compliance, and effective project delivery.
Engage in live, natural video conversations in Bengali with other participants to provide data for AI model training. Discuss everyday topics to help AI models learn natural speech patterns, tone, and cultural nuance.
Engage in live, natural video conversations in Bengali to provide high-quality data for AI model training. Discuss everyday topics to help AI systems learn natural speech patterns, tone, and cultural nuances.
The Cloud Operations Engineer will manage and support client cloud and on-premise environments, including migrations and infrastructure deployments. They are responsible for implementing security solutions, maintaining system health, and collaborating with internal teams to ensure project delivery within deadlines.
You will design, develop, and maintain scalable distributed systems and observability solutions for large-scale data services. Additionally, you will collaborate with cross-functional teams to improve system performance and reliability using modern DevOps practices.
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You will lead technical and architectural decisions for the data platform, ensuring scalability, performance, and compliance with data privacy standards. You will also collaborate with cross-functional teams to build robust data pipelines, manage data governance, and develop innovative data solutions.
You will build and optimize a world-class Kubernetes resource management platform to improve DevOps productivity. This role involves diving deep into Kubernetes internals and working with technologies like Istio, Helm, and Prometheus.
Design, develop, and maintain modular integrations and automation solutions between internal systems and third-party platforms. Collaborate with cross-functional teams to gather requirements and participate in on-call rotations to ensure system health.
You will build and improve backend APIs and optimization models to translate plan information into 3D building structures. You will also collaborate with senior engineers to integrate these systems into the design pipeline while ensuring code quality and performance.
You will lead complex technical sales opportunities, partner with the sales team to drive customer success, and mentor other Sales Engineers. Additionally, you will develop deep product expertise to articulate the value of autonomous cloud infrastructure and help refine sales processes.
You will support the development and improvement of machine learning systems for object detection, segmentation, and information extraction from building plans. Additionally, you will assist in integrating models into production applications while maintaining clean, testable, and maintainable Python code.
Develop and maintain server-side logic, RESTful APIs, and commerce features for the company's platforms using Node.js and MedusaJS. Collaborate with frontend teams to ensure seamless integration while managing the full lifecycle of features from design to production support.
You will own the operational health of the data platform by monitoring overnight processing, resolving failures, and maintaining orchestration layers. Additionally, you will extend the platform by modeling new source domains and implementing automated data quality gates to ensure reliability.
Design and build scalable Pega applications for insurance lines of business while ensuring performance, security, and maintainability. Guide developers, enforce best practices, and manage end-to-end integration design.
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You will build and maintain Python services, REST APIs, and background workers while collaborating with senior engineers on high-scale systems. Additionally, you will work with data pipelines and contribute to code quality through testing and reviews.
Maintain mission-critical bare-metal infrastructure while ensuring high availability and performance for blockchain nodes. Develop and improve automation for deploying web2 and web3 infrastructure while participating in an on-call schedule.
You will drive front-end technical strategy and architecture across multiple teams to ensure a cohesive merchant experience. This involves hands-on implementation, mentoring engineers, and partnering with product and design teams to scale the platform.
You will design and build scalable backend infrastructure to power AI agents while improving their reasoning, tool usage, and reliability in cybersecurity environments. You will also develop evaluation pipelines and feedback loops to measure agent performance and translate experimental improvements into production gains.
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