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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Design and own high-throughput backend systems and asynchronous pipelines for image and video generation. Optimize infrastructure for low latency and cost efficiency while providing technical mentorship to the engineering team.
Build and scale the Enterprise and B2B revenue engine by managing the full GTM lifecycle from prospecting to closing. Map customer creative workflows and design pilot programs to convert experimentation into repeatable revenue.
The Senior Product Architect will design new features across all platform layers and maintain the feature and issue backlog. They will act as the primary technical bridge between the Technical Services team and Engineering to drive implementation and testing.
Lead the DevSecOps strategy and roadmap to integrate automated security controls throughout the software-development lifecycle. Partner with engineering and platform teams to secure cloud environments, containers, and delivery pipelines.
Build and operate security platforms, automation, and tools to integrate security guardrails into CI/CD pipelines and cloud environments. Collaborate with engineering teams to improve security visibility, reduce false positives, and strengthen software supply chain security.
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Design and build scalable systems, tooling, and data processing pipelines to improve AI delivery and evaluation. Lead the end-to-end execution of data collection projects for frontier AI labs to improve advanced models.
Lead finance-domain AI programs by owning the delivery of training, evaluation, and data projects. Act as the primary finance expert to ensure AI outputs meet professional standards while bridging the gap between financial clients and technical AI/ML teams.
The role involves owning end-to-end coding data projects to teach frontier AI models how to code. This includes designing agentic training workflows, evaluation rubrics, and technical environments that mirror real-world software engineering.
Design and architect end-to-end systems for collecting, structuring, and delivering human data to train frontier AI models. Collaborate with engineering and product teams to optimize data pipelines and ensure high-quality training signals for SFT and RL.
Lead initiatives to enhance customer support and value delivery by establishing scalable systems and processes. Coordinate with engineering and operations teams to drive the execution of complex, cross-functional projects.
Lead end-to-end red-teaming workstreams against frontier models by scoping threat models and designing adversarial campaigns. Establish a recurring red-team cadence and produce executive reports to distill severity and user harm.
Own end-to-end coding data projects to train frontier AI models, designing agentic workflows and evaluation schemes. Collaborate with clients and internal teams to build technical environments and rubrics that reflect real-world software engineering.
Design and govern simulated environments and modular frameworks for RL agents to learn and be stress-tested. Establish quality standards for data, reward structures, and telemetry to ensure stable and scalable training signals.
Lead the direction and execution of critical products supporting advanced AI training and RLHF processes. Develop innovative solutions for annotation efficiency, data exploration interfaces, and large-scale data processing systems.
Design and build core fullstack systems and backend architecture to power the Surge platform. Create scalable tools for data collection, labeling, and evaluation used by leading AI labs.
Architect and maintain critical user-facing application components and internal tooling to increase development velocity. Collaborate with designers and stakeholders to implement secure, optimized, and visually appealing responsive interfaces.
Design, develop, and maintain complex distributed software systems while leading agile teams and mentoring junior engineers. Translate product requirements into robust, scalable designs and ensure high-quality code through rigorous reviews.
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Lead the design, implementation, and delivery of scalable software solutions and complex engineering initiatives. Partner with Architecture, Product, and DevOps teams to ensure operational excellence and high-performing system architecture.
Own and extend internal AI-native systems, including autonomous coding pipelines and root-cause engines, to enable fast and correct production code shipping. Establish and enforce a 'Constitution' of architectural rules through deterministic checks and runtime guardrails.
Design and build AI agents and tools that automate complex ERP workflows and business processes. Develop a composable, AI-first UI and an evaluation harness to measure agent performance and quality.
Lead the transformation of business strategy by designing solutions and estimating value realization for organizational initiatives. Partner with senior leadership to create business architecture models and maintain governance across delivery groups.
The Software Engineer will design, develop, and debug functional web applications using object-oriented design and clean code. Responsibilities include participating in the full application lifecycle, performing UI tests, and responding to on-call incidents to minimize downtime.
Design and build a multi-agent architecture and develop the evaluation infrastructure to measure agent behavior. Implement agent and context engineering while ensuring reliable production deployment with necessary guardrails and monitoring.
Lead a team of Financial Analytics Engineers to build and scale revenue, spend, and net revenue forecasting models. Drive the transition from spreadsheet-based processes to scalable planning platforms while partnering cross-functionally to improve data quality and business processes.
Define and drive the application and product security architecture for a cloud-native SaaS platform. Lead secure SDLC initiatives, threat modeling, and the implementation of security guardrails for AI and agentic technologies.
Develop and productionize machine learning models for query intelligence, focusing on autocomplete, intent modeling, and natural-language search. Collaborate with cross-functional teams to improve retrieval and ranking to match guests with hosts effectively.
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Architect and build end-to-end backend systems for card issuing and lifecycle management. Lead technical designs for card certification processes and ensure system reliability and compliance with payment network standards.
Lead end-to-end deployments of the Jean-Paul AI agent platform for strategic customers, managing technical scoping and rollout. Partner with customer engineering teams to ensure production adoption and provide feedback to shape the product roadmap.
Responsible for the operational success of MongoDB Atlas customers through system monitoring, alert dashboard creation, and server administration. The role involves diagnosing live incidents, automating troubleshooting tasks, and coordinating with global teams to ensure uptime guarantees.
Design, implement, and scale backend systems that process large volumes of data for production-critical environments. Collaborate with data science and engineering teams to build the next generation of Cint products using a domain-based architecture.
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