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 design, test, and code high-quality software solutions while collaborating with product managers to address customer challenges. Additionally, you will lead engineering initiatives, mentor team members, and drive continuous improvement through modern development practices like TDD and microservices.
Design, build, and test prompts and LLM-driven components for production workflows. Collaborate with AI Specialists to implement evaluation harnesses and integrate AI solutions with business systems.
You will design and deliver applied AI solutions, including LLM workflows and agentic automation, while working directly with clients to translate business problems into production-ready AI. You will also define patterns for prompt development and establish evaluation criteria to measure solution quality and ROI.
The Senior DevSecOps Engineer will partner with platform teams to embed security into cloud infrastructure, CI/CD pipelines, and Kubernetes-based application platforms. They will design secure-by-default patterns, automate security checks, and mentor engineering teams on DevSecOps best practices.
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The architect will design and govern the master data management strategy to establish a 'golden source of truth' across a multi-platform ecosystem. They will also lead data governance initiatives and collaborate with technical leadership to ensure scalable, resilient integration patterns.
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Lead the end-to-end lifecycle of language models and AI solutions, from research and data curation to production deployment and monitoring. Collaborate with product and business teams to align AI initiatives with strategic goals while optimizing for quality, latency, and cost.
Design, implement, and maintain secure, scalable cloud infrastructure while managing CI/CD pipelines and containerized environments. Partner with engineering teams to ensure system reliability, performance, and effective incident response.
The Solutions Architect will lead platform architecture for global DataHub integrations and act as the primary technical bridge between the Brazil team and global stakeholders. They will also drive AI-native engineering initiatives while ensuring high standards for security, performance, and scalability.
You will design, develop, and maintain scalable ETL/ELT pipelines and cloud-based data architectures to support global analytics initiatives. Additionally, you will collaborate with cross-functional teams to ensure data quality, security, and performance while implementing modern engineering best practices.
The Senior QA Engineer will own quality for data platforms by validating pipelines, warehouse models, and reports. They will design automated data quality checks and perform rigorous testing on APIs and data infrastructure.
Design, develop, and maintain scalable ETL/ELT pipelines while building data processing solutions using Python and Apache Spark. Collaborate with cross-functional teams to implement cloud-native data architectures and ensure high performance across the data ecosystem.
You will own the technical direction for distributed delivery teams by designing front-end architectures and establishing coding standards for high-traffic commerce platforms. You will also collaborate with clients during discovery to translate business needs into scalable, pragmatic architecture roadmaps.
The Director of Engineering will own delivery outcomes, architecture patterns, and engineering standards across multiple squads in a distributed environment. They are responsible for hiring and developing engineering leaders while remaining hands-on to solve complex architectural challenges.
Design, develop, and maintain scalable ETL/ELT pipelines while building cloud-native data architectures on AWS. Collaborate with cross-functional teams to support data-driven business initiatives and ensure the performance and reliability of the data ecosystem.
The role involves configuring and maintaining cloud monitoring tools while collaborating on the creation of dashboards and performance indicators. You will also participate in detecting critical platform incidents and automating routine tasks using scripts.
Develop and maintain clean, object-oriented PHP code using Drupal's Hook and Plugin APIs while implementing advanced caching and database optimization strategies. Manage asynchronous processing and architect custom solutions using Symfony components and Drupal's configuration management.
The Principal Site Reliability Engineer will lead the SRE team to define technical strategies for reliability, observability, and automation of critical products. They will act as the primary technical reference for critical incidents and collaborate with architecture and development teams to ensure high availability and operational efficiency.
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Provide advanced escalation and product support for security products while resolving complex issues that lower tiers cannot address. Collaborate with R&D and product management to analyze software issues and develop custom configurations or workarounds.
Design, build, and maintain production-grade backend services and data pipelines while owning orchestration and deployment automation. Mentor junior engineers and contribute to the architecture of AI-powered features for financial services clients.
The Senior Data Developer will lead the development and optimization of data systems on Azure while resolving Level 3 incidents. They will also drive a 'Shift Left' mindset by establishing standards for runbook documentation and enhancing monitoring practices.
Develop, validate, and apply electrical and thermal models for lithium-ion battery systems to ensure high performance and safety. Collaborate with cross-functional teams to define requirements, analyze test data, and optimize battery system designs.
You will lead the multi-year roadmap and architecture for the Unified Data Store client stack to ensure high-performance data access. Additionally, you will drive engineering excellence by establishing best practices for fault-tolerant distributed systems and mentoring senior technical talent.
Design, develop, and maintain scalable backend services for a financial revenue and reporting platform. Collaborate with cross-functional teams to deliver high-quality, well-tested features from architecture through production.
Design, develop, and maintain scalable backend services for a financial revenue and reporting platform. Collaborate with cross-functional teams to deliver high-quality, well-tested features from architecture through production.
Design, build, and maintain integration workflows connecting internal systems with third-party platforms using low-code tools and custom JavaScript. Develop data pipelines, monitor integration health, and leverage AI to optimize business process automation.
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You will design, build, and deploy AI-native features across the full stack while managing the entire product lifecycle from concept to production. You are expected to establish reliable feedback loops and telemetry to ensure AI performance while maintaining high velocity in a fast-paced environment.
Design and build scalable data pipelines and models to transform raw events into actionable data products. Collaborate with cross-functional teams to define business metrics and create dashboards that drive decision-making.
You will own the end-to-end development of computer vision models, including 3D pose estimation and statistical body modeling, from prototype to production. Additionally, you will manage the data lifecycle, training frameworks, and deployment pipelines to ensure models run efficiently in the cloud and on-device.
Develop and maintain frontend features, backend services, APIs, and data integrations while ensuring clean, maintainable code. Collaborate with cross-functional teams including QA and DevOps to validate requirements, troubleshoot issues, and support production releases.
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