Twitch is building the future of interactive entertainment. The services we create for our users have deep, lasting effects on their lives. For many of our partnered broadcasters, streaming on Twitch is a career, and our Subscriptions systems are central to making this possible.
We’re operating at a massive scale and you'll have the opportunity to experiment, build, and scale solutions that are unique and best-in-class.
You will work closely with cross-functional teams to deliver features that impact millions of streamers and viewers, be a multiplier to the team's technical and operational excellence, and help guide and influence our architecture and technical vision.
This job posting is no longer available
Quizlet’s mission is to help students (and their teachers) practice and master whatever they are learning. Every month more than 50 million active learners from 130 countries practice and master more than 300 million study sets on every conceivable topic and subject. We are developing new learning experiences by modeling how students learn and drawing upon knowledge acquisition, retention, and pedagogy in cognitive science. We are always seeking to help students master any subject by optimizing study efficiency and engagement.
This is a full-time position at our new Denver, CO office. We are looking for a passionate individual who will join us as one of the founding members of the Denver office and share our stories through technical blog posts, meet-ups, and conferences.
Quizlet Engineering consists of Pods, here’s a preview...
Agora: Team Agora builds the Premium marketplace which helps people that are studying for high stakes exams. Imagine you're taking the Bar Exam, studying to get your CPA or the Series 7 in finance. If you get it right, it's career altering. The team brings content from trusted vendors like Kaplan, Pearson and Elsevier to help studiers. The effort just got going, and it's a bit like a startup within a startup.
Subs Growth: The team takes pride in keeping Quizlet free for anyone to use. Free access is made possible by our growing base of power users (both students and teachers) who pay to subscribe to our premium features. Our focus is to improve our renewals, creating compelling upsell experiences, explore new payment options, offer different plans that meets users’ need as Quizlet grow internationally.
We hope you are excited about everything you read so far. We highly encourage you to apply for this position, even if you feel you do not meet all the requirements. Quizlet is always looking for amazing folks that believe in our mission and can contribute to our team in various ways - not merely candidates that fit a certain mold.
Quizlet's Team Culture
We are here to make education better and more accessible. We strive to improve the lives of students and teachers at every stage and in every setting. We have a bias for action, take initiative, and hustle to deliver results. We make informed decisions whenever possible but are unafraid to take calculated risks on great ideas to promote learning. We embrace challenges and see effort as the path to mastery. We’re constantly seeking opportunities to learn and we embrace curiosity. Quality matters at Quizlet, and we hold the bar high on everything we do. We sweat the details and take personal accountability and pride in anything that carries the Quizlet name. We speak up, jump in and work with each other to fix problems, and never say "that's not my job." We treat each other with honesty and respect, encourage vigorous debate, and seek critical feedback. We value diversity, humility, transparency, and collaboration as the best paths to our success — as individuals, as a team, and as a company.
Quizlet’s success as an online learning community depends on a strong commitment to diversity, equity and inclusion. We are actively working to build a team that is representative of the diverse communities we serve, and an open, inclusive work environment where all employees can thrive. As an equal opportunity employer and a tech company committed to societal change, we welcome applicants from all backgrounds. Women, people of color, members of the LGBTQ+ community, individuals with disabilities, and veterans are strongly encouraged to apply. Come join us!
At Netflix, we strive to bring joy to people across the world through amazing stories. As we grow internationally, we are continually enhancing our cloud-based infrastructure to improve our performance, scalability, and reliability.
The SRE team's goal is to ensure customer joy by successfully managing risk and minimizing impact across Netflix. We do this through cross-functional engagement with other engineering teams, managing issues when they happen, as well as promoting reliability and resilience practices throughout the organization.
As an early Platform Engineer at Watchtower, you’ll enable us to deliver our platform reliably, securely, and at massive scale. You’ll help architect low latency, real-time microservices that process & detect sensitive data at scale.
Responsibilities:
Building highly-available and secure authentication and API services Maintaining and evolving mission-critical internal databases and services Optimizing and operating high volume auto-scaling streaming data services Instrumenting streaming data services for visibility into utilization per customer
Qualifications:
Expertise in one or more systems/high-level programming language (e.g. Go, Rust, Python, Java, C++) and the eagerness to learn more. Eagerness to wear multiple hats in a startup environment Experience running scalable (thousands of RPS) and reliable (five 9’s) systems. Experience with developing complex software systems scaling to substantial data volumes or millions of users with production quality deployment, monitoring and reliability. Experience with large-scale distributed storage and database systems (SQL or NoSQL, e.g. Cassandra, CockroachDB, Spanner) Ability to decompose complex business problems and lead a team in solving them Data Processing - experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper
Tools We Use:
Go, React, Python, Cassandra, Redis, Terraform, Docker, Kubernetes, AWS (SQS, S3, Redshift, RDS, EKS), Kafka, Envoy
About Watchtower:
Watchtower is a cybersecurity startup dedicated to helping enterprises secure and manage their sensitive data. As a leading enterprise technology company, our product affects the personal data that people entrust businesses to store & process with care every day. Critical data in the modern enterprise is often sprayed across a broad set of cloud systems (e.g. SaaS & data infrastructure), and it’s a herculean task for security teams to monitor, manage, and protect this highly sensitive data. Via machine learning, our product makes it easy for companies to discover, classify, and protect this sensitive data across their cloud footprint - such as their corporate SaaS, data infrastructure, and APIs. In doing so, we prevent data leakage, provide unprecedented data visibility & protection across the cloud, and enable compliance. We're a technology startup based in San Francisco and Palo Alto, well-funded by leading institutional investors with deep expertise in the cybersecurity industry. Learn more at our website www.watchtower.ai or by reaching out via email at careers@watchtower.ai.
This job posting is no longer available
Who We Are
We’re a small team of experienced engineers with diverse technical backgrounds. We’re passionate about driving our coworkers’ success and building the next generation of software tooling. If you want to work on distributed systems infrastructure and development practices or you have an entrepreneurial spirit and want to make something that your peers use every day, we’d love for you to join us. Tooling handles many different areas, so we’re building a diverse team with a wide range of expertise.
What We Do - We build shared infrastructure and tools to make engineering more productive, reliable, and cost effective. - We maintain several Segment Open Source projects. - We work in Go, Terraform and a bit of Node.js. - Read more about Segment’s infrastructure and how we use: distributed logging and secure secrets. Or, read our code: conf, ksuid, cwlogs, go-prompt, ecs-logs, chamber. - We manage the tooling and process around development environments, testing, CI, and deployment. - Read more on our blog about how we use: CI and Make.
Who we are looking for:
Projects we’re working on:
Requirements
Bonus