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 manage the operation and enhancement of the Data & Analytics system landscape, focusing on SAP Analytics Cloud and SAP Datasphere. Additionally, you will drive the BI strategy, oversee data architecture, and collaborate with cross-disciplinary teams to deliver innovative data solutions.
You will design, build, and operate the infrastructure that enables global scaling and reliable trading-critical systems. You will also build self-serve capabilities, manage CI/CD pipelines, and participate in an on-call rotation to ensure platform stability.
The developer will be responsible for porting games to new platforms, integrating and updating SDKs, and implementing monetization features. They will also focus on bug fixing and collaborating with the development lead to ensure game stability and performance.
You will design, develop, and maintain backend microservices using Java 17 and Spring Boot to support complex operational processes. The role involves collaborating with cross-functional teams to ensure system reliability, performance optimization, and the successful integration of new business requirements.
The role involves translating product strategy into actionable features while leading architecture and cross-functional teams. You will engage with stakeholders and customers to define product roadmaps and ensure the delivery of high-quality, data-driven software solutions.
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You will build and maintain modern frontend applications using React and TypeScript while integrating them with backend services. Additionally, you will contribute to frontend architecture, automated testing, and the stabilization of production solutions in an agile environment.
You will lead complex ERP projects focused on variant management and product configuration, ensuring technical implementation using scripting languages. Additionally, you will provide expert consulting to clients and conduct workshops to facilitate knowledge transfer.
Serve as a technical authority and trusted advisor to sales teams, customers, and partners to solve business issues using the Elastic Stack. Actively participate in all phases of the sales cycle, from initial discovery to the technical win, while acting as the voice of the customer to internal engineering teams.
Design and implement scalable Salesforce Data Cloud solutions, including data models, streams, and identity resolution. Manage data ingestion pipelines using APIs, MuleSoft, and ETL tools while collaborating with cross-functional teams to meet business requirements.
Develop mobile applications using Flutter according to project requirements and design solutions with a focus on code clarity. Collaborate with back-end and mobile development teams while maintaining comprehensive project documentation.
You will lead a development team, providing technical guidance, mentoring, and fostering professional growth while maintaining high standards for software quality. Additionally, you will bridge the gap between product management, UI/UX, and development, ensuring technical bottlenecks are addressed and critical modules are actively developed.
You will be responsible for the setup, operation, and development of the Azure cloud and Windows server infrastructure. Additionally, you will automate day-to-day operations using Infrastructure-as-Code and provide technical support to internal stakeholders.
You will automate, optimize, and develop the company's cloud and deployment infrastructure while managing CI/CD pipelines. Additionally, you will monitor system performance, resolve technical issues, and collaborate closely with development teams to reduce complexity.
You will be responsible for identifying and contacting potential clients through cold calling to schedule virtual meetings. You will present the company's consulting services and manage the sales process through to contract signature.
Design, implement, and maintain enterprise observability platforms covering metrics, logs, traces, and events. Collaborate with engineering and SRE teams to improve reliability, performance, and availability through proactive monitoring and incident management.
You will own the reliability, scalability, and automation of machine-learning pipelines while managing the end-to-end ML lifecycle. This includes containerizing services, deploying on AWS, and improving observability through logging and metrics.
You will build, manage, and optimize cloud infrastructure using Infrastructure as Code tools while automating system configurations. Additionally, you will collaborate with teams to integrate infrastructure with CI/CD pipelines and implement automated security controls.
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Architect and build low-latency trading systems, including pricing aggregation, execution engines, and smart order routing. Lead technical architecture, perform code reviews, and mentor team members while ensuring resilient infrastructure in trading environments.
You will evolve the observability stack by managing high-scale logging and tracing platforms while driving the transition to AI-driven insights. Additionally, you will automate infrastructure tasks using Python and maintain IT service management tooling.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise client needs.
Design, develop, and maintain robust backend APIs including payment, subscription, and authentication services. Collaborate with cross-functional teams to align backend architecture with product strategy and enterprise integration needs.
The role involves managing data collection and ingestion pipelines to support AI model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for consumer and enterprise products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize infrastructure and define the AI team's dataset roadmap.
The role involves managing data collection operations to support model training and maintaining the cloud infrastructure for ingestion pipelines. You will collaborate with scientists and leadership to optimize data quality and throughput while defining the AI team's dataset roadmap.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for AI products.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for future products.
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The role involves managing end-to-end data collection and ingestion pipelines to support large-scale AI model training. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for next-generation products.
The role involves managing data collection and ingestion pipelines to support model training operations at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for next-generation AI products.
You will be responsible for all aspects of data collection to support model training operations, including building and maintaining ingestion pipelines. You will also collaborate with scientists and leadership to define the dataset roadmap and optimize infrastructure for cost and scale.
The role involves managing data collection and ingestion pipelines to support large-scale model training operations. You will collaborate with scientists and leadership to optimize data infrastructure and define the dataset roadmap for future products.
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