Who We Are

The mission of the Health organization at Twitter is to keep our users safe from negative experiences in a highly adversarial environment. This aligns with our company's top priority: growing the collective health, openness, and civility of public conversation.

The Health Signals Platform engineering team is responsible for the platform powering Twitter’s ability to leverage signals to detect unhealthy content and interactions at an unprecedented scale. We work on some of the world’s most highly-scaled distributed systems, handling hundreds of millions of tweets and engagements each day. Our platform aims to streamline the production and consumption of Health signals generated using Machine Learning and other methodologies. We are also responsible for the lifecycle of a set of core health signals and enabling their accessibility. In turn, each product surface at Twitter relies on our platform and signals to keep our users safe.

Are you an engineer who’s passionate about defending online users against abuse, spam, and manipulation? Will you be proud to work on large scale high performing platforms to make health signals more accessible? If so, you should join us. Health is Twitter’s top priority and we need your help!

What You’ll Do

Here are some examples of what you’ll find yourself doing daily:

• Lead end-to-end design and implementation of platform components.

• Directly contribute to the design and code of our platform.

• Extend the functionality of the platform, including new language features and new integrations with other systems, to serve our customers’ needs

• Communicate with stakeholders and build consensus around the technical roadmap.

• Translate the requirements of our partner teams into robust, scalable infrastructure.

• Improve approaches to efficiently handle ever-increasing volumes of data exchanged in real time.

• Maintain low latency and high success rate of the platform, which directly impacts user experience.

• Diagnose issues and debug across the entire stack.

• Work with platform services we depend on, including storage, messaging and data platform teams.

• Continuously evaluate team’s processes to maintain a positive and efficient engineering culture.

• Give conference talks, write blog posts, and otherwise evangelize Twitter health engineering internally and externally.

Who You Are

• You have senior and/or staff-level engineering capacity with demonstrated leadership skills. (This role does not include people management responsibilities.)

• You have experience working in an environment that supports Machine Learning modeling at scale.

• You have  built and maintained large-scale distributed systems in a production setting.

• You are familiar with software engineering methodology, e.g. unit testing, code reviews, design documentation.

• You are familiar with the best practices of system and online service design - e.g. monitoring and observability, making informed performance trade-offs, maintainability and extensibility, etc.

• You are interested in working closely with a diverse, multi-functional team: you think critically about needs and requirements of customer teams and can distill those findings into concrete projects and platform features.

• You can balance quality work vs customer requests vs new features.

• You can make the right product and technical decisions independently.

• You ground your decisions with data and reasoning and can adapt to new information to make informed choices.

• You enjoy working in a collaborative environment and interact effectively with others.

• You’re willing to be coached and to coach others.

• You multiply the effect of contributors by inspiring and growing them on and off the team across different levels of seniority, skills and geographical boundaries.

• You bring thoughtful perspectives, empathy, creativity, and a positive attitude to solve problems at scale.

We are committed to an inclusive and diverse Twitter. Twitter is an equal opportunity employer. We do not discriminate based on race, ethnicity, color, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran, genetic information, marital status or any other legally protected status.

San Francisco applicants: Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records