Top Software Engineer Jobs

Build, test, and maintain scalable full‑stack applications. Work across front-end (React, HTML/CSS/JS) and back-end (Python or C#) services, collaborate on feature design and deployment, and optimize performance, security, and maintainability.

Design, develop, test, and maintain enterprise Java applications and microservices. Participate in code reviews, automated testing, environment monitoring, and collaborate with product teams while following security and regulatory best practices.

Lead frontend architecture and design for high-availability cloud services, drive AI-first engineering practices, mentor engineers, integrate AI-assisted tools, and optimize web performance, observability, and operational efficiency while collaborating with Product and Design.

Lead design and development of cloud-native Java/Spring Boot microservices on GCP (Cloud Run, Spanner, Pub/Sub). Drive observability, performance engineering, CI/CD, TDD, API publishing (Apigee/APIM), and DevOps toolchain adoption. Collaborate with product and teams to deliver scalable, secure vehicle integration platform services.

Lead development and delivery of safety-critical brake control software, coordinate supplier and in-house teams, verify requirements, manage software change and calibration, investigate DTCs and warranty issues, support HiL/breadboard prototypes, EOL setup, and OTA/service software updates while ensuring ASPICE and functional safety compliance.

Join the Frontend Platform team to build a design system and componentized UI library. Participate across the software lifecycle, design and implement scalable frontend systems, collaborate with engineering teams and stakeholders to improve user and developer experience, propose new features, and help grow the engineering organization.

Develop and maintain GPU performance foundation libraries and test frameworks for Nsight tools. Implement GPU assembly tests, use emulators/simulators to validate instruction events, and document data workflows. Collaborate with hardware architecture teams to enable performance analysis and optimization of GPU-accelerated applications.

Design, build, and operate highly available, scalable backend services and APIs powering Netflixs Creative Studio. Lead architecture, data pipelines, and integrations with GenAI and ML platforms, set technical direction, mentor engineers, and collaborate across product, design, and partner teams to deliver reliable, high-performance creative tooling.

Design and build high-volume, low-latency Conversion APIs to ingest consented advertiser events (server-to-server, pixel, batch). Implement streaming architectures (Kafka/Flink), deduplicate and enrich identity/attribution data, enable measurement, optimization, retargeting and reporting while ensuring privacy, compliance, and cross-functional collaboration.

Design and build high-volume, low-latency Conversion APIs and audience onboarding systems to ingest consented advertiser events (server-to-server, pixel, batch). Develop streaming and batch pipelines (Kafka, Flink), enable deduplicated identity-enriched datasets for retargeting, optimization, measurement, and reporting while ensuring privacy and regulatory compliance. Collaborate cross-functionally and provide technical leadership.

Build and scale online data systems, services, APIs, SDKs, and UIs for Netflix's Content Knowledge Graph. Collaborate with data engineers, ML engineers, scientists, and analysts to create scalable data access patterns, evaluate technologies, and own the full software lifecycle from design through operation.

Lead technical direction and architecture for a low-latency, high-throughput ad-serving platform. Design and optimize concurrent distributed systems, profile and mitigate tail latencies, build automated performance benchmarking in CI/CD, and create modular entry points for model-serving and demand systems. Ensure operational excellence, resiliency, and cross-team collaboration to meet SLAs and uptime targets.

Design and build large-scale ad tech systems across inventory, serving, measurement, forecasting, identity, and campaign management. Drive architecture, set technical direction, collaborate with ad operations and cross-functional partners, and deliver high-performance, privacy-safe cloud services and data pipelines for Netflix Ads.

Build and operate resilient, high-scale, low-latency microservices and APIs (gRPC/GraphQL/REST) using OO languages (Java/C#). Design data models, optimize concurrency and performance, ensure observability, and collaborate with cross-functional teams to support content promotion, localization, and distribution workflows at Netflix.

Build and operate large-scale Ads Identity Graph and Identity Resolution systems (deterministic and probabilistic) in batch and near-real-time. Integrate identifier collection flows, DSPs, programmatic platforms, and data clean rooms while enforcing privacy, consent, and data governance. Handle extremely large datasets with big-data tools like Spark and design high-throughput, low-latency distributed systems. Collaborate cross-functionally on ad-targeting, measurement, and privacy-preserving solutions.

Design, build, and maintain core Android infrastructure, app architecture, developer frameworks, and release tooling. Implement cross-platform UI frameworks, server-driven UI, and scalable libraries using Kotlin, Java, Jetpack Compose, Dagger/Hilt, and GraphQL. Drive testability, performance, accessibility, and production tooling while collaborating with product and client teams to enable engineering velocity at scale.

Senior software engineer responsible for designing, implementing, and operating scalable systems for targeting and policy. Collaborates with cross-functional teams to define requirements, builds backend services, ensures reliability and performance, mentors engineers, and drives technical roadmap and operational excellence.

Design and implement high-quality iOS features and core infrastructure using Swift and advanced UIKit/Core Animation APIs. Architect maintainable client code, write automated tests (XCTest, XCUITest), run A/B experiments, and collaborate with product, design, and partner engineering teams to deliver performant, accessible user experiences.

Build and maintain internal Python platform libraries and tooling to improve developer experience. Drive runtime, dependency, testing, delivery, monitoring, and performance optimization for Python services (including GPU-enabled workloads). Collaborate cross-functionally to define an opinionated SDLC, support on-call rotations, and balance modern practices with risk-aware change. Enable scalable, low-latency distributed systems and provide AI/ML-facing platform capabilities.

Design, build, and operate resilient, high-scale, low-latency distributed microservices and APIs. Drive technical direction and architectural decisions, collaborate across teams, communicate complex technical concepts, participate in on-call rotation, and lead incident reviews. Work spans content production pipelines, localization, and catalog systems to support Netflix's content lifecycle.

Technical lead for a Context Enablement pod building the context layer for coding agents: plugins, Dev Profiles, and a curated knowledge system (NECP). Define technical strategy, partner with platform teams, ship incremental production work, measure adoption, and mentor a team of engineers to improve developer productivity with agent-enabled tools.

Design and build scalable, maintainable Android client infrastructure and product experiences using Kotlin and modern Android tooling. Define best practices, write automated tests, improve app architecture (MVVM, unidirectional state), collaborate with product and design, mentor engineers, and lead high-impact projects to improve performance, quality, and developer velocity across the Netflix Android app.

Build and operate Ads Reporting Infrastructure: design low-latency, highly available event ingestion and streaming pipelines that process billions of ad events daily. Ensure data accuracy with monitoring, alerting, and auditing. Integrate with ad tech (SSPs/DSPs/Ad Servers), real-time analytics (Apache Druid), and stream-processing frameworks to support measurement, serving, pacing, budgeting, and reporting workflows.

Design, implement, and maintain high-performance cloud gaming software stacks across the application pipeline, including hardware-accelerated video/audio/data processing, media encoding/decoding, graphics APIs, and network transport. Optimize local and end-to-end system performance, work across complex codebases and hardware platforms, collaborate across teams, and take ownership from conception to production.

Design and implement privacy-preserving features for Netflix Ads, ensuring member data protection and regulatory compliance. Build high-throughput, low-latency distributed cloud systems that handle very large data volumes, collaborate cross-functionally, and integrate privacy controls into ad identity and audience systems.