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 and execute rigorous A/B tests and causal inference analyses to optimize messaging strategies across various channels. Additionally, you will build scalable data pipelines, dashboards, and automated workflows to support data-driven decision-making for the Consumer Messaging Program team.
The Forward Deployed Engineer will identify, design, and implement automation solutions to optimize complex product and operational workflows. This role involves collaborating across departments to translate ambiguous business problems into concrete technical interventions and owning the implementation end-to-end.
The AI Research Scientist will design and develop innovative machine learning solutions, specifically focusing on generative models and recommender systems to enhance content discovery. They will lead end-to-end ML development, including research, model training, and evaluation, while partnering with cross-functional teams to integrate these models into business applications.
The Senior Identity Security Engineer will lead the design, security, and modernization of hybrid identity platforms including Active Directory and Microsoft Entra ID. This role involves remediating identity risks, implementing governance processes, and supporting Zero Trust initiatives across the organization.
Lead the Ads Signals & Measurement team to build a cohesive data ecosystem covering conversion, attribution, and identity resolution. Set technical direction, mentor engineers, and partner with cross-functional teams to scale data products across the organization.
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Design, build, and operate observability, evaluation, and tooling subsystems to support next-generation AI/ML architectures. Drive cost optimization and reliability improvements across the AIMS AI/ML stack to ensure operational excellence.
You will set the technical direction and design coherence across the entire Ads Data Engineering organization to ensure scalable and connected data products. You will also partner with leadership to bridge technical strategy with business priorities while mentoring engineers to foster technical growth.
The AWS Sales Account Manager will lead the end-to-end sales process, from prospecting and cold calling to closing deals for cloud solutions. They are responsible for developing strategic client relationships, conducting cost-benefit analyses, and meeting established sales targets.
Develop accurate structural and civil BIM models using Revit and Navisworks while ensuring constructability and high quality. Collaborate with engineers and architects to identify and resolve clashes during the modeling process.
Design, build, and maintain high-throughput, secure backend microservices and RESTful APIs using .NET. Manage AWS cloud infrastructure and containerized deployments while integrating AI tools to enhance development velocity.
Design and execute rigorous machine learning experiments to improve promotional content and title discovery. Lead end-to-end development of ML models while collaborating with cross-functional teams to integrate solutions into business platforms.
The role involves owning the analytic data layer and building self-service data products to monitor cloud gaming infrastructure performance and capacity. You will partner with engineering teams to turn telemetry into actionable insights and drive resource prioritization.
Develop and maintain highly scalable, cloud-based media encoding pipelines to support workflow orchestration and metadata management. Collaborate with cross-functional teams to elevate system infrastructure for diverse media formats including streaming, ads, and broadcast.
You will design, build, and operate robust, scalable distributed systems to support Netflix's global content production and enterprise workflows. Additionally, you will mentor other engineers, lead incident reviews, and drive technical strategy across cross-functional teams.
Build state-of-the-art UI features for the Netflix TV application while optimizing performance on memory-constrained devices. Collaborate with cross-functional partners to scope projects and validate user experiences through A/B testing.
Design and develop analytic tools and systems to monitor the performance and accountability of machine learning algorithms across promotional media and marketing workflows. Partner with cross-functional teams including ML engineers and data scientists to translate creative requirements into measurable objectives and automated data solutions.
Design and build scalable infrastructure for machine learning model training, fine-tuning, and evaluation workflows. Optimize distributed training systems for performance, cost-effectiveness, and ease of use for ML practitioners.
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Lead and grow a team of AI research scientists and engineers to develop and optimize homepage construction and title ranking algorithms. Drive the technical vision and roadmap while partnering with product management to translate member experience goals into scalable machine learning solutions.
The Solutions Support Engineer will monitor and resolve customer requests while developing automation tools and runbooks to improve support efficiency. They will also act as a bridge between the developer community and the Productivity Engineering team to advocate for product improvements and usability.
The engineer will build and deploy advanced machine learning models for ad targeting, identity resolution, and contextual signals. They will collaborate with cross-functional teams to productionize these models at scale within a high-performance advertising ecosystem.
You will serve as the Group Tech Lead for the Application Networking organization, setting multi-year product and technical strategy across various business verticals. You will architect and operate the communication backbone that connects services, devices, and partners at global scale.
The role involves planning and executing adversary simulations and penetration tests to identify vulnerabilities in networks and applications. You will also collaborate with blue teams to refine incident detection strategies and provide actionable remediation insights.
Develop and coordinate BIM models for site development, utilities, and infrastructure projects using Revit. Collaborate with multidisciplinary teams to identify clashes and ensure high-quality project documentation.
You will set the strategic direction for the internal Experimentation Platform and lead the consolidation of bespoke experimentation practices into a unified, modern system. This role involves collaborating with cross-functional partners to define standards for causal inference and driving the adoption of best practices across the organization.
You will work on structural BIM projects to ensure models and documentation are accurate, coordinated, and buildable. You will also collaborate with multidisciplinary teams to identify design conflicts and provide structural expertise throughout the project lifecycle.
The scientist will design and develop innovative machine learning solutions, specifically focusing on generative models and LLM-based evaluators. They will lead end-to-end ML development and partner with cross-functional teams to integrate these models into business applications.
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The System Architect defines and protects the architectural integrity of the Adobe Workfront ecosystem for enterprise-scale agency and marketing implementations. They lead solution design, facilitate technical workshops, and provide governance oversight throughout the implementation lifecycle.
Design, build, and maintain scalable Android features and infrastructure that support Netflix's global member experience. Partner with cross-functional teams to scope projects, weigh technical trade-offs, and modernize the existing codebase.
Collaborate with product and engineering teams to build performant, accessible consumer-facing experiences using Swift and GraphQL. Develop maintainable, scalable code while partnering with product management and design to refine UI specifications and architectural trade-offs.
Lead the development of unified, AI-native data developer and analytics experiences, including workflow orchestration and practitioner tooling. Partner with engineering and design teams to define product strategy, drive adoption, and ensure platform scalability and reliability.
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