Design and optimize scalable backend services and data pipelines for ingestion, transformation, and distribution of health data. Modernize legacy systems into AWS-native microservices while ensuring data reliability, security, and compliance.
Remote Software Engineer Jobs (35,764)
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The role involves architecting and maintaining scalable automated test frameworks to ensure product quality across the full software lifecycle. You will collaborate with developers and product owners to improve system resilience, performance, and scalability in Linux and mainframe environments.
The role involves designing and developing performant backend software solutions and UI front-end technologies to handle diverse customer use cases. Responsibilities include optimizing code, ensuring web security, and mentoring junior team members within an Agile environment.
Design and implement robust event-driven microservices and APIs to scale products built on FinLLM. Develop modern React front-ends and integrate LLM-powered capabilities into real-world financial workflows.
Develop and evolve the core notification platform to deliver seamless experiences for guests and hosts globally. Collaborate with cross-functional teams to build scalable backend services and ensure system reliability through operational excellence.
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Lead the technical direction and product authorship for multiple AI-native ventures from concept to launch. Collaborate with cross-functional teams to validate problems and build scalable full-stack web applications.
Design and maintain scalable Java-based backend applications and microservices using Spring Boot and event-driven architecture. Mentor junior developers and utilize AI code companions to enhance productivity and maintain high engineering standards.
Drive engineering innovation and developer productivity by architecting high-quality internal platforms and AI-native tools. Lead strategic initiatives, conduct architectural reviews, and mentor other engineers to foster a high-performance culture.
Senior Systems Software Engineer, Accelerated Kubernetes Performance and Scale - DGX Cloud
NVIDIA
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Full Time
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7 Weeks Ago
NVIDIA
Lead performance and scalability analysis for the Kubernetes-based accelerated runtime stack to optimize AI infrastructure. Design architectural changes for the Kubernetes control plane and contribute to open-source projects to enable hyperscale AI workloads.
Lead the design and implementation of high-performance batch and stream loading systems to ingest terabytes of data daily. Collaborate with architects and cross-functional teams to deliver massive-scale data solutions for end customers.
Senior Software Engineer - Machine Learning & Geospatial
Ocient Inc.
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Full Time
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7 Weeks Ago
Ocient Inc.
Design and implement production machine learning features while closing behavioral gaps between internal capabilities and industry-standard frameworks. Collaborate with cross-functional teams to ensure ML features are predictable, performant, and align with customer expectations.
Software Engineer 4/5 – Model Development and Management, AI Platform
Netflix
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Full Time
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7 Weeks Ago
Netflix
Design and implement the user interface layer for Netflix's AI Platform to accelerate model creation, evaluation, and deployment. Collaborate with researchers and data scientists to build scalable ML infrastructure and gather requirements for various ML use cases.
The role involves building automation and services using Python to operate and test a distributed database system. It also requires maintaining performance testing tooling and producing technical documentation for developers.
Develop and maintain large-scale data storage and caching infrastructure to support hundreds of millions of users. Partner with ML, AI, and Search teams to build scalable technical solutions while ensuring high availability and reliability.
Design and develop innovative, scalable API solutions to support Reddit's core platform and media experience. Provide technical coaching and mentorship to junior engineers while ensuring high system uptime and performance.
Lead the design, implementation, and operation of large-scale distributed scanning engines and data collection services. Collaborate with security and product teams to improve platform reliability, scalability, and technical standards while mentoring other engineers.
Lead the design, implementation, and operation of large-scale distributed scanning engines and data collection services. Collaborate with security and product teams to improve platform reliability and mentor other engineers across a global team.
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Lead the development of scalable web applications and backend services while managing multiple client projects. Mentor mid-level and senior engineers and collaborate with US-based teams to ensure project success.
Own and evolve Render's core compute infrastructure across multiple cloud providers and data centers to ensure high performance and reliability. Design capabilities for service deployment and availability while investigating complex issues from the kernel to the control plane.
Build and operate the infrastructure and automation powering GitHub's regional deployments for Enterprise Cloud. Partner with engineering teams to onboard services and improve operational tooling and incident response.
Senior Principal, AI Software Engineer– Agentic & Industry Solutions
Genesys
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Full Time
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7 Weeks Ago
Genesys
Design and build scalable Agentic AI solutions and industry-specific accelerators on the Genesys Cloud platform. Lead the development of multi-agent workflows and RAG solutions to transform customer and employee experiences.
Design and build complex, scalable systems using Java and the Spring ecosystem. Develop responsive web applications and integrate AI tools to optimize code quality and application velocity.
Develop high-quality, scalable, and secure software code using Java and Angular within an agile environment. Collaborate with cross-functional teams to analyze requirements, implement technical designs, and mentor other engineers.
Design and develop large-scale platform components, CI/CD pipelines, and cloud-native services to support core infrastructure. Lead the resolution of complex production issues and mentor junior platform engineers through code reviews and design guidance.
Lead the architectural design and development of Agentic AI components and scalable workflows to automate event triage for the Waymo Driver. Collaborate with cross-functional teams to integrate autonomous agents into the evaluation lifecycle and drive the technical roadmap.
Design and build a scalable platform and frameworks for integrating third-party IoT devices using Go and AWS. Lead the architecture for cloud-to-cloud API integrations and manage the end-to-end delivery of high-concurrency backend services.
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Design and build scalable, high-concurrency backend services in Go on AWS to power a camera platform for smart home devices. Implement cloud-to-cloud API integrations and maintain existing Java/Spring Boot platforms during a transition to Go.
Design and develop scalable software solutions for audio processing and communication systems. Implement real-time audio algorithms and collaborate with cross-functional teams to integrate these components into existing applications.
Design and operate the MCP server platform and agent orchestration layer to automate GTM workflows. Build AI-powered internal applications and infrastructure using TypeScript, Node.js, and Python on AWS.
Implement and maintain AI benchmarking infrastructure using the Inspect library to evaluate frontier AI models. Collaborate with researchers and analysts to develop new benchmarks and integrate evaluation data into research products.
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