Top Software Engineer Jobs

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

Design, develop, and deploy software for GEOINT data workflows. Build microservices, RESTful APIs, and maintain secure applications using various programming languages and frameworks.

Lead full-stack development of secure software for GEOINT applications. Collaborate in Agile teams, mentor engineers, and ensure cybersecurity standards.

The role involves leading the design and development of scalable enterprise applications for GEOINT, ensuring compliance, mentoring juniors, and guiding Agile practices.

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.

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

The Senior Software Engineer leads full-stack development for GEOINT applications, mentors junior engineers, and ensures software security standards.

The Software Engineer will lead design, development, and deployment of enterprise applications using Agile practices, mentoring junior engineers, and collaborating with cross-functional teams.

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.

Design and develop secure, scalable software solutions for GEOINT applications. Collaborate in Agile environment and mentor junior engineers.

The Software Engineer will build fintech products, develop applications, interact with product managers, and train clients on software.

Seeking a Senior Software Engineer to enhance automated testing for streaming services. Responsibilities include CI/CD optimization, mentoring engineers, and cross-team collaboration.

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.

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

Design and develop applications for GEOINT data, lead software development in classified environments, and mentor engineers in Agile and DevSecOps practices.

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

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.

Design, develop, and deploy software for GEOINT data workflows using various programming languages and frameworks in an Agile environment.

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.