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.
smlXL is a 'stealth' start-up building an Information retrieval service with Consumer and Enterprise applications. Our first focus is providing a far richer understanding of the semantics of blockchain activity, making data and information accessible and useful to all.
We aren't ready to talk broadly about what we are working on, but we might be a good place for you if:
You are highly technical; you care about your craft; you are constantly learning; used to working on baremetal servers and running your own stack, you are fascinated by Information Systems, Semiotics, and Blockchain data; you get excited by turning black boxes transparent; and you love working on things that add a ton of value to consumers and prosumers alike; or you are into the EVM, decompilers, databases, and distributed systems.
About You
Benefits and Support
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.
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.