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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Lead the migration of data workflows from legacy Hadoop/Hive environments to Snowflake while designing scalable migration factories. Develop and maintain robust ETL/ELT pipelines and collaborate with stakeholders to translate business requirements into high-performing data architectures.
Design, develop, and implement end-to-end Power BI solutions while supporting BI migration projects across various reporting platforms. Collaborate with data teams and business stakeholders to gather requirements and ensure the delivery of scalable, high-quality analytics solutions.
You will own the analytical side of the platform, including the semantic layer of metrics, A/B testing methodology, and recommendation algorithms. This involves hands-on work such as debugging reports, writing technical specifications, and collaborating directly with engineering.
Develop and maintain innovative IT solutions using Java and SpringBoot. Collaborate within a dynamic team to create high-quality software in a remote environment.
You will design, build, and operate end-to-end data solutions using the Azure data stack while maintaining scalable ETL/ELT pipelines. Additionally, you will manage infrastructure, implement CI/CD processes, and collaborate with BI teams to ensure data quality and governance.
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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.
The role involves managing data collection and ingestion pipelines to support AI model training at scale. You will collaborate with scientists and leadership to optimize infrastructure and define the dataset roadmap for next-generation products.
Lead the design, architecture, and development of native Windows desktop applications using C#, XAML, and Windows App SDK. Collaborate with cross-functional teams to drive feature planning, accessibility efforts, and long-term technical roadmap for the Windows platform.
You will build and improve frameworks, reusable components, and operational guidelines to help teams manage the full software development lifecycle. Additionally, you will mentor engineers, uphold engineering standards, and drive technical communication across projects.
You will write and maintain Python scripts to integrate security gates like SAST, DAST, and SCA into CI/CD pipelines. Additionally, you will tune scanning tools to reduce false positives and provide code-level remediation guidance to development teams.
The QA Automation Engineer will be responsible for designing and executing automated tests to ensure software quality. The role involves working within a dynamic team to maintain high standards of technical excellence.
You will maintain and develop new features on the software platform while applying software engineering principles to design, testing, and evaluation. Additionally, you will ensure software security and actively participate in agile team rituals and projects.
You will manage the end-to-end security telemetry pipeline, ensuring consistent ingestion into Elasticsearch and maintaining the health of underlying clusters. This involves integrating third-party APIs, managing cloud infrastructure via Terraform, and optimizing data quality and reliability.
Troubleshoot and resolve complex technical issues across distributed Cloud SaaS systems while collaborating with engineering and product teams. Lead technical investigations and maintain high standards of customer communication for enterprise clients.
You will own the product strategy and roadmap for the Integration Builder, defining the end-to-end authoring and lifecycle management experience. You will collaborate with engineering, architecture, and UX teams to translate stakeholder requirements into intuitive, scalable product capabilities.
Design, deploy, and optimize sophisticated agentic AI workflows and RAG pipelines to address risk and fraud on the platform. Maintain production-grade machine learning models and ensure scalable, secure, and performant system architectures.
You will lead core 0-to-1 initiatives in the fintech domain, translating strategic vision into concrete execution roadmaps. You will architect scalable solutions and drive implementation from the prototype stage through to production.
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Develop predictive models and quantitative analytics to prioritize security vulnerabilities based on risk and business impact. Structure massive security telemetry datasets and build machine learning algorithms to filter scanning noise and false positives.
You will design, build, and scale high-performance backend services and REST APIs using Go and Typescript to support global fulfillment and logistics. Additionally, you will manage end-to-end backend components, including development, testing, deployment, and monitoring within an event-driven AWS architecture.
The Data Engineer will design, build, and maintain ETL/ELT pipelines while ensuring data quality and reliability across the platform. They will collaborate with AI and product teams to support analytics, reporting, and data modeling initiatives.
You will design, deploy, and maintain AWS-native cloud architectures while managing infrastructure using Terraform and Infrastructure as Code best practices. The role involves collaborating with AI and Data Engineers to ensure enterprise-grade platforms are scalable, secure, and production-ready.
The role involves analyzing and maintaining Java and Spring Boot applications while utilizing AI tools for code refactoring and documentation. You will also be responsible for identifying technical debt, ensuring system performance, and collaborating on CI/CD and DevOps processes.
Develop and enhance Java solutions while collaborating with Business Analysts to translate requirements into technical designs. You will also be responsible for maintaining code quality, performing testing, and troubleshooting technical issues.
You will be responsible for evolving, expanding, and maintaining SAP RISE and SAP/HANA cloud instances. You will also contribute to expanding current SAP features to new countries, managing the end-to-end process from business definition to production support.
Create high-volume, realistic, and diverse video ads using scripts, source footage, and AI-generated assets. Produce various formats including talking-head, UGC-style, B-roll-driven, and motion graphics ads.
Manage and maintain cloud infrastructure, including provisioning, monitoring, and troubleshooting production environments. Automate operational tasks using scripting languages and support existing CI/CD pipelines.
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You will own the end-to-end creative pipeline using AI tools to produce and ship ad assets at volume across multiple channels. Additionally, you will manage and scale paid acquisition campaigns on Google, Bing, Meta, and YouTube while optimizing for full-funnel performance.
You will own the inference and orchestration layer that powers AI interactions, ensuring high reliability and low latency. Your role involves building production systems, designing inference pipelines, and managing service boundaries around AI models.
Manage and lead DevOps and infrastructure teams to ensure the availability, scalability, and reliability of production and staging environments. Define and enforce best practices for SRE and CI/CD while building a high-performing engineering team across multiple regions.
The AI Product Manager identifies, shapes, and delivers AI-enabled products while acting as a bridge between business stakeholders and technical teams. They own the end-to-end product lifecycle, from initial opportunity identification through to deployment and value realization.
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