Top Software Engineer Jobs

Design, develop, and optimize a SaaS platform, ensuring user experience and environmental impact while collaborating with cross-functional teams.

The Sr. MFG Test Software Developer designs and develops software solutions, automates testing, supports maintenance, and documents procedures, collaborating with engineers to enhance manufacturing processes.

As a Software Engineer, you'll build advanced prompt engineering pipelines, create real-time simulations, and design high-performance user experiences.

As a Full Stack Software Engineer, you'll design, build, test, and deploy features, turning user feedback into code quickly while collaborating closely with founders to ensure product quality and scalability.

The Senior Mobile Software Engineer will develop and maintain mobile applications and APIs, ensuring their security, scalability, and performance, while collaborating with cross-functional teams.

The Software Engineer will develop full-stack solutions, collaborate on features, and optimize performance in an agile team environment.

As a Software Engineer, you will build and operate Kubernetes GPU superclusters, optimize infrastructure for AI workloads, and improve system stability and performance.

The Software Engineer, MLOps will build cloud infrastructure, develop ML tooling, optimize workloads, and enhance CI/CD pipelines while supporting ML-focused projects.

Collaborate with cross-functional teams to build and enhance Netflix apps, focusing on user experience, infrastructure, and quality testing.

The Software Engineer will develop and scale broadcast workflow orchestration tooling, automate live workflows, and collaborate on backend services to enhance operational efficiency in live broadcasting.

The Senior .NET Software Developer designs, develops, and tests custom software applications, mentors junior developers, and collaborates with teams to implement solutions.

As a Full Stack Software Engineer, you will scale online data systems, build APIs, and collaborate with teams to enhance the Netflix Knowledge Graph.

As a Senior Software Engineer, you'll develop scalable microservices, optimize content workflows, and collaborate across teams to enhance Netflix's entertainment delivery.

Develop resilient microservices for content production automation at Netflix, supporting internal and external workflows while ensuring operational excellence.

As a Software Engineer at Netflix, you will develop scalable microservices, implement APIs, and model data to support business needs, ensuring high performance and reliability.

Build integrations for data clean rooms supporting ad campaigns. Collaborate cross-functionally and implement privacy-preserving data processes.

Develop and optimize high-performance, real-time gaming applications on cloud platforms, ensuring system performance and ownership of projects from start to finish.

As an L7 Software Engineer at Netflix, you'll drive technical direction, mentor peers, and oversee complex systems for growth engineering, ensuring a balance of business and customer needs.

Build a next-generation ML data and feature infrastructure platform to enhance the productivity of ML practitioners and improve feature accessibility.

In this role, you will design and build a platform for large-scale machine learning model training and optimize its operations. You'll create APIs for both ML practitioners and non-experts, focusing on enhancing cost-effectiveness and reliability in machine learning applications.

The Software Engineer L5 will design, build, and maintain developer productivity tools for machine learning teams, requiring strong software engineering and design skills with a focus on large CI/CD systems.

Netflix seeks a Software Engineer 5 for its Targeting and Policy team, focusing on complex development projects and product support.

Join Netflix's Algorithms team as a Machine Learning Software Engineer to design and develop solutions for personalization systems. Collaborate on scalable machine learning algorithms and enhance software engineering practices.

Develop and enhance ML infrastructure for LLMs, partnering with multidisciplinary teams to deliver scalable, robust systems impacting user experiences.

Develop and improve the Metaflow platform for machine learning applications, collaborating with researchers and ensuring high software design and reliability.