At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next.
About the Developer Platform Teams
The Infrastructure Engineering Org at Netflix has teams focusing on a number of different areas including: test infrastructure, resilience & reliability tooling, internal application interface development, improving the technical health of systems, and collecting and reporting on the metrics that help Netflix quantify and improve developer productivity. These teams work across Java, Python, and JavaScript, building applications and services in these languages as well as serving our internal customers who work in one or more of these languages.
We are hiring for this role across the following Developer Platform teams:
Java Lite
This team focuses on the high-performance, resource-constrained edge of our infrastructure. You build sidecars, agents, and lightweight libraries that run where a full Spring Boot context is too heavy - for example, service mesh sidecars, observability agents, or edge services. Your focus is on raw JVM performance, startup time, low memory footprint, and architectural patterns for sidecar processes.
System Insights & Productivity Metrics
The team's mission is to empower engineers with insights and metrics to enhance decision-making and optimize workflows, focusing on both inner and outer development loops. Key areas of focus include various metrics (cycle time, lead time for changes, code quality, startup time, generalized developer productivity) and system insights (archetype/tool adoption, system dependency mapping, system metadata storage).
Engineering Operations Tooling
This team builds and owns the tools that power change automation, learning and discovery, and technical support across Netflix engineering. The team supports initiatives such as fleet-wide software change automation, onboarding and Paved Road product discovery, and cloud fleet monitoring to ensure high availability and resiliency. Its portfolio includes platforms for hosting and generating technical documentation using cutting-edge Gen AI, tools for fleet-wide service dependency graph generation, systems for deploying and monitoring changes at scale, and support solutions that leverage Gen AI to deliver fast, high-quality responses to developers.
About the Role
We are seeking experienced Software Engineers who are passionate about writing software that will help other engineers write software. The ideal candidate will have a strong generalist background, having built moderately complex applications in Python or Java. This role requires demonstrated experience scaling services and applications to serve hundreds of users and thousands of requests per minute. Engineers in this job will interact with customers and product managers to ensure that the team is delivering the tools and features needed by Netflix. Writing design documents, driving changes across teams and organizations, and ensuring the reliability and success of productivity tools is a significant part of this role. The tools and services delivered by engineers in this role will span multiple parts of the stack (from persistence and data layers through business logic and service APIs to front-end user UX) so familiarity with each of those areas is required, though focus, experience, and expertise may be concentrated on one layer.
Key Responsibilities
Software Development: Write software that assists other engineers in their software development processes.
Application Building: Develop moderately complex applications using Java and other programming languages
Service Scaling: Scale services and applications to efficiently handle hundreds of users and thousands of requests per minute.
Customer and Product Interaction: Engage with customers and product managers to ensure the delivery of necessary tools and features.
Design Documentation: Write design documents and drive changes across teams and organizations.
Tool Reliability: Ensure the reliability and success of productivity tools.
Cross-Functional Collaboration: Work across different layers of the stack, focusing expertise on one layer while maintaining familiarity with others.
Data Modelling & Analysis: Choose storage solutions and design data models for relation and non-relational datasets. Write queries and reports to power analytics and dashboards for customer teams and organizations.
Who You Are
A skilled software engineer with experience in developer platform or productivity teams.
A meticulous software designer who researches and documents technical tradeoffs clearly and concisely.
Able to manage projects independently from design to production.
Able to communicate effectively with technical and non-technical stakeholders.
A developer who is passionate about writing tests for their code and has demonstrable experience solving difficult testing and reliability challenges in complex domains.
A problem-solver who can leverage data to make quantitative decisions and seeks out creative approaches in order to derive useful signals from noisy systems.
An effective collaborator who can work closely with customer teams and partner teams to create tailored strategies to execute software change campaigns effectively.
A passionate advocate for developer productivity using tooling investments for better discovery, learning and support
Experience We’d Be Excited About
Expertise in one or more the following languages: Java, Python, Golang
Familiarity with relational and non-relational databases and data stores.
Performance engineering experience and work with load and traffic generation tools.
Passion for maintaining the technical health of our software ecosystem to enable faster innovation
You are an expert in using one or more of the following build tools or frameworks: Gradle, UV, Bazel, pip
You have implemented advanced log, metric, or error stacktrace analysis.
You have hands-on experience using machine learning or statistical analysis on moderately large data sets
Familiarity with running and debugging services and applications in Linux environments
Familiarity with managing applications in AWS and familiarity with the core AWS service and feature ecosystems (EC2, S3, etc.)
Familiarity with Kubernetes or other container management solutions
Experience designing, building, and operating continuous delivery and continuous integration systems.
Full-Stack Development: deliver tools and services that span multiple parts of the stack, including persistence and data layers, business logic, service APIs, and front-end user experience (UX).
Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner.
We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
Job is open for no less than 7 days and will be removed when the position is filled.