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 own the end-to-end architecture and maintenance of complex conversion tracking systems across browser, server, and CRM platforms. This involves building reliable data pipelines, performing reconciliation, and communicating technical risks and implementation details to non-engineering stakeholders.
You will serve as a core contributor and technical leader, owning key features and architectural improvements while mentoring engineers. You will also champion the responsible use of AI-assisted development tools and drive operational excellence across the platform.
Design and build enterprise-scale contact center and conversational AI solutions using Amazon Connect and AWS serverless technologies. Develop AI agents, contact flows, and backend integrations while ensuring robust monitoring and production support.
The Nurse Coder DRG Auditor III independently audits inpatient and outpatient claims by applying coding and clinical guidelines to validate diagnoses and procedures. They also perform quality checks for team members, provide appeal responses, and support management with strategic enterprise-level recommendations.
You will engage with qualified business owners to identify their email marketing and revenue challenges while recommending tailored platform or service solutions. Additionally, you will manage the sales pipeline, handle objections, and participate in ongoing coaching to ensure high performance.
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The Senior Director will lead the strategy, delivery, and growth of mission-critical financial solutions while serving as the primary executive contact for the OpenText Financial Hub platform. They will also define and execute the organization's AI vision, roadmap, and governance framework to drive operational efficiency and innovation.
Develop fullstack solutions for monetization strategies with a primary focus on frontend development using React, TypeScript, and GraphQL. Collaborate with product, design, and data teams to reduce friction in user acquisition and optimize subscription plans.
You will be responsible for building new analytics capabilities and features within the Elasticsearch analytical engine using Java. This involves designing data structures, resolving complex bugs, and collaborating with a globally distributed team to ensure high-performance software.
You will design and implement new analytics capabilities and features for the Elasticsearch query engine. You will also collaborate with a globally distributed team to resolve bugs and improve the performance of data-intensive systems.
You will own technical support cases end-to-end for enterprise customers, triaging and resolving complex issues across Kubernetes infrastructure and ML platform components. Additionally, you will contribute to the knowledge base and act as a customer advocate by filing detailed bug reports with the Engineering team.
You will act as a technical partner to product managers to plan, build, and deliver features for a fintech platform. Additionally, you will mentor junior engineers and incorporate AI-assisted tools into your daily development workflow.
Design and build mission-critical web-based software using Java, Python, and Go while managing end-to-end feature development. Collaborate with cross-functional teams to implement data-dense interfaces and integrate AI-powered features into the platform.
You will serve as a thought leader for payment integrity solutions, translating complex healthcare data into compelling narratives for clients and sales prospects. Additionally, you will build revenue and cost models, manage executive-ready dashboards, and collaborate with product teams to shape market strategy.
The Technical Support Engineer will serve as an internal escalation point for complex issues and collaborate with Engineering to resolve bugs and improve internal tools. They will also analyze support trends and develop automation scripts to enhance operational efficiency.
The Data Engineer will develop and maintain automated data pipelines while designing API-driven workflows to support data integration and validation. They will also build analytics-ready datasets and provide technical documentation to enable effective reporting and decision-making for the Department of Veterans Affairs.
Design, build, and operate high-scale production AI systems and agentic experiences like conversational shopping assistants. Collaborate with cross-functional teams to integrate foundation models and ensure the reliability, latency, and cost efficiency of AI-native products.
The Financial Systems Administrator will manage the day-to-day administration, maintenance, and improvement of core finance tools like NetSuite, Ramp, and Pigment. This role acts as a bridge between technical systems and the Accounting and Finance teams to ensure data integrity and efficient workflows.
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The Senior Site Reliability Engineer will own the reliability, performance, and resilience of cloud infrastructure powering AI/ML workloads. This role involves driving automation, leading incident response, and building observability systems to ensure high-quality production standards.
You will support the development, integration, and deployment of ground system architectures for advanced missile tracking and targeting capabilities. This involves managing technical requirements, interface definitions, and collaborating with multidisciplinary teams to ensure mission readiness.
The engineer will be responsible for provisioning, configuring, and monitoring infrastructure resources within the Azure cloud environment using IaC and GitOps practices. They will also develop and maintain CI/CD pipelines to automate deployments and ensure security compliance across all systems.
This role is responsible for SAP ABAP development and technical support for global ERP and HCM applications, including S4 Hana and SuccessFactors. The lead will translate functional specifications into code, provide technical guidance to offshore teams, and ensure system quality through best practices.
You will be responsible for fine-tuning state-of-the-art LLMs and optimizing them for high-performance deployment on Airbnb's ML infrastructure. You will also collaborate with cross-functional teams to design and develop AI products such as AI assistants and autonomous agents.
Research, design, and implement advanced Computer Vision and machine learning algorithms for 3D sensor data. Collaborate with cross-functional teams to integrate these capabilities into production-ready software for mining and industrial environments.
Design, build, and maintain scalable web applications, 2D/3D experiences, and backend services for high-precision geospatial data. Collaborate with cross-functional teams to translate customer problems into technical solutions while contributing to architecture and development standards.
Lead the end-to-end planning and execution of complex engineering projects while facilitating agile practices across cross-functional teams. Monitor project health, KPIs, and delivery risks to provide clear status reports to stakeholders.
You will interact with and evaluate various AI models to assess their capabilities, safety, and helpfulness. Your tasks will include structured conversations, voice-based interactions, and submitting detailed feedback or ratings to improve AI performance.
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You will interact directly with various AI models to evaluate their capabilities, safety, and helpfulness through structured conversations. Your insights and data will directly inform the development and optimization of next-generation Generative AI.
The AI Evaluator will interact with various AI models to assess their capabilities, safety, and helpfulness through structured conversations. They will submit deliverables such as ratings, write-ups, and recordings to inform model development and optimization.
You will interact with various AI models to evaluate their capabilities, safety, and helpfulness through structured conversations. Your insights and data will directly inform the development and optimization of Generative AI technologies.
The AI Evaluator will interact with various AI models to assess their capabilities, safety, and helpfulness through structured conversations. They will submit deliverables such as ratings, write-ups, and recordings to inform model development and optimization.
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