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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Develop and manage massive-scale distributed systems for the Email Platform, focusing on high availability and low latency. Responsibilities include modernizing Go-based microservices and managing dual-cloud infrastructure across AWS and Azure.
Own the conversion funnel to increase free trial to paid conversion rates through data-driven improvements. Independently build and deploy full-stack production code and execute structured growth experiments using AI-native workflows.
Design and implement backend Ads products, including microservices, APIs, and real-time data intensive systems. Lead operational stability improvements and collaborate with product, platform, and data teams to execute project timelines.
Design and implement backend Ads products, including microservices, APIs, and distributed systems. Collaborate with product, platform, and data teams to improve operational stability and build extensible components.
Deploy and automate the installation of OS and infrastructure services to ensure fleet-wide consistency and high uptime. Collaborate with Network, Data Center, and Middleware teams to resolve hardware and software issues and support OpenStack and Ceph services.
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Lead technical direction for large cross-team initiatives and design scalable, maintainable enterprise systems. Build infrastructure that embeds AI into engineering workflows to automate development and improve quality.
Lead technical strategy and deliver complex systems across platform modernization, product evolution, and greenfield AI exploration. Design AI-driven engineering workflows and mentor Staff+ engineers to raise the overall technical bar.
Lead the delivery of complex product initiatives and own the technical direction for major areas of the platform. Orchestrate AI agents to accelerate software delivery while mentoring junior engineers and improving engineering strategy.
Develop and maintain APIs and business logic for a telehealth platform using Django and React. Lead code reviews and improve engineering tooling and processes to raise the overall quality bar.
Lead high-impact, cross-functional programs across Cloud Infrastructure and AI Platforms to improve reliability, scalability, and efficiency. Shape multi-year strategies and drive the execution of platform modernization and feature rollouts for internal customers.
Design metrics and develop reporting for internal and external advertiser measurement products. Analyze data to provide actionable insights and recommendations to improve the effectiveness of the ad platform.
Lead the product function by defining the global strategy, macro-level roadmap, and market positioning for AI-powered task mining. Mentor product managers and designers while improving the operating model to align engineering and commercial functions.
The Senior Security Engineer will own the data security infrastructure, focusing on automated classification, tagging, and protection of sensitive data. They will design encryption pipelines and secure the data connectors feeding AI tooling to ensure safe technology adoption.
Design, develop, and implement customized Zendesk solutions and AI features to optimize support workflows. Manage Zendesk configurations, third-party integrations, and complex reporting via Zendesk Explore.
Build, automate, and optimize delivery pipelines and application environments with a focus on Java/Spring Boot and Linux. Manage end-to-end build, deployment, and operational excellence including server hardening and system monitoring.
Develop and maintain SQL-based ETL pipelines to extract and transform data from enterprise warehouses. Collaborate with business groups to create semantic models and views in Snowflake for advanced analytics and AI modeling.
Serve as the technical lead for APAC, managing end-to-end forward deployed engagements from evaluation to production. You will design Kubernetes deployment patterns, mentor engineers, and translate field insights into the product roadmap.
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Own the end-to-end process of translating business problems into functional requirements and production-ready code. Leverage AI agents to accelerate implementation while ensuring high standards for security, scalability, and reliability.
Design and optimize VLM/LLM model architectures to align with hardware constraints for on-device use cases. Collaborate with research, software, and hardware teams to deliver end-to-end perception solutions for autonomous driving.
Lead the implementation and operationalization of AI tools, specifically Claude Enterprise, to transform agency workflows. Partner with leaders to identify efficiency opportunities and develop enablement resources like playbooks and prompt libraries.
Define enterprise-wide data architecture, platform strategy, and governance standards to ensure scalability and performance. Lead large-scale modernization projects and mentor senior engineers to elevate the organization's data engineering maturity.
Develop interactive reports and dashboards using Power BI and Excel to derive insights from complex datasets. Consult with agency leaders to promote data-driven performance improvement and program evaluation.
Drive strategic product decisions by analyzing user behavior, creator activity, and economy verticals. Design experiments and build durable analytical assets to improve product metrics and decision-making frameworks.
The role involves interpreting complex requirements to extract, clean, and analyze large volumes of electronic medical records and claims data. The analyst will support researchers by executing statistical analyses and producing detailed reports and figures for publication.
Design and operate monitoring, detection, and response infrastructure to protect intellectual property and high-performance compute clusters. Partner with cross-functional teams to implement secure-by-design systems and automate security workflows across cloud and on-prem environments.
The ERP Consultant is responsible for implementing and supporting Microsoft Dynamics 365 solutions for global clients. This includes defining business requirements, designing configurations, and managing the full implementation lifecycle from testing to go-live.
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Lead the end-to-end delivery and solution architecture of Sage Intacct engagements for diverse clients. Support sales enablement by scoping services and mentoring junior team members to drive operational excellence.
Participate in the full software development life cycle to create innovative software systems for Department of Defense customers. Support the development and integration of synthetic geospatial data for use in simulation applications.
Lead a team focused on making Ads ML model training and inference faster, cheaper, and more scalable. Partner with ranking and platform teams to identify bottlenecks and build reusable efficiency tooling and guardrails.
Lead technical architecture and direction across the platform while managing two mid-level engineers. Drive the adoption of AI-native engineering practices and agentic workflows to accelerate development efficiency.
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