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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Manage administrative functions for a remote property operation, including lease agreements, tenant onboarding, and rental income reconciliation. Coordinate maintenance requests and prepare monthly occupancy and property reports for landlords.
The Field Engineer is responsible for the implementation, configuration, and testing of on-premise and cloud-hosted Emergency Call Handling solutions. This includes managing connectivity between local infrastructure and cloud environments while providing post-cut support to customers.
Lead the design and implementation of complex API architectures and secure authentication strategies for clients. Provide technical mentorship to junior engineers and manage the end-to-end execution of client projects.
Record high-fidelity, professional-grade audio of humming exercises to train AI audio models. Ensure strict adherence to tonal and rhythmic prompts while maintaining technical audio quality.
Lead the development of scalable, high-performance frontend experiences using React and TypeScript while translating Figma designs into production-ready interfaces. Integrate AI-powered engineering workflows to improve productivity and mentor engineers to elevate the team's technical maturity.
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Lead the design and delivery of end-to-end Oracle Cloud HCM solutions while ensuring alignment between business requirements and scalable architecture. Manage client engagements from pursuit to delivery, providing architectural governance and mentoring team members.
Lead the end-to-end implementation of the Oracle Cloud Payroll module, guiding clients through requirements gathering, configuration, and testing. Manage and mentor junior and offshore resources while building long-term client relationships.
Lead the design and evolution of the platform's infrastructure, reliability posture, and release pipelines. Drive security and compliance efforts while partnering with product teams to reduce operational drag.
Design and implement custom GPU/accelerator kernels to maximize performance for next-generation AI workloads. Collaborate with researchers to translate algorithmic advances into efficient, production-ready code.
Manage the assigned customer base in China to increase sales volume, product mix, and profit margins. Provide technical and sales assistance to distributors, end users, and specifiers while monitoring competitive market intelligence.
The analyst supports Accounting and Finance teams by interpreting complex data to deliver actionable insights through reporting tools. They are responsible for designing dashboards and maintaining financial reporting solutions to ensure accuracy and business alignment.
As the founding SRE, you will define the reliability culture, observability stack, and incident response processes from scratch. You will partner with ML infrastructure engineers to ensure the stability and scalability of the interactive AI inference cloud.
Develop custom CUDA kernels and optimize model inference to achieve sub-50ms latency and 10-100x performance gains. Own the end-to-end inference pipeline, focusing on GPU utilization, memory bandwidth, and distributed memory optimizations.
Define and lead the product vision and strategy for Workato's AI and LLM-focused developer tools. Bridge the gap between developers, business goals, and engineering to deliver high-quality developer platforms and agentic systems.
Design and validate managed care payer models and perform financial analysis to evaluate reimbursement methodologies. Collaborate with internal and external stakeholders to achieve payer reimbursement objectives and optimize payment accuracy.
Architect and build AI infrastructure and agentic workflows to transform software development and operational processes. This includes creating a centralized context layer and automating the full development lifecycle from code generation to incident triage.
Design and develop Netflix Conversion APIs and Audience Onboarding systems to power measurement and optimization. Build high-volume, low-latency services for ingesting consented user engagement events in near-real-time.
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Architect and implement enterprise-grade MLOps and LLMOps strategies and pipelines using GCP-native services. Serve as a technical authority to design scalable ML platforms and mentor engineers on best practices.
Design and implement ML-driven bidding algorithms to optimize ad performance metrics like Clicks, Conversions, and ROAS. Collaborate with product teams to align auction mechanisms and pricing with business goals and revenue objectives.
Design and build backend services and APIs to power core business workflows including order processing and logistics. Own projects end-to-end from initial design through production and iteration to ensure system reliability and scalability.
Design and build backend services that power core business workflows, including order processing, logistics, and internal operations. Own projects end-to-end from initial design through production, ensuring systems are reliable and scalable.
Design and scale a GPU compute platform supporting 1,000+ clusters to enable real-time, stateful AI inference. Own the full infrastructure stack from bare metal to model serving, including resource orchestration and production reliability.
Build core systems and infrastructure for a control plane for agents, including identity services, enforcement paths, and developer platforms. Develop Kubernetes operators and CI/CD automation to ensure deterministic guarantees for delivery, consistency, and availability.
Design and build operational data systems, including pipelines, storage layers, and APIs for real-time enforcement and customer insights. Balance streaming and batch paradigms to support both transactional identity services and analytical security posture requirements.
Build and maintain the backend services, APIs, and core application systems that power the uRun real-time inference runtime. Design scalable systems for real-time interaction and session state while shaping the overall architecture for fault tolerance and performance.
Design and own the scalable, low-latency infrastructure powering the uRun real-time inference runtime. You will manage GPU-heavy workloads, streaming pipelines, and define platform standards for security and observability.
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Lead the product analytics strategy to drive growth bets and shape the company roadmap through deep analytical insights. Manage and develop a team of product analysts while overseeing experimentation and the quality of AI-generated analytical outputs.
Define and develop the specifications and micro-architecture for key NPU modules, including in-memory compute and memory orchestration units. Collaborate with hardware and software teams to optimize AI accelerator performance for workloads like LLMs and CNNs.
Design, develop, and support cloud-based data solutions with a focus on automating ETL processes using AWS Glue and Kiro. The role involves optimizing data pipelines and evolving the data platform toward decentralized architectures.
The role involves administering Salesforce and Pardot, focusing on system configuration, automation, and data integrity. The administrator will also develop a technology roadmap and support complex renewable energy workflows.
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