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.
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
Blend helps lenders maximize their digital agility. Our digital lending platform is used by Wells Fargo, U.S. Bank, and other leading financial institutions to increase customer acquisition, improve productivity, and accelerate the delivery of any banking product across every channel. We process more than $3.5 billion in mortgages and consumer loans daily, helping millions of consumers get into homes and gain access to the capital they need to lead better lives.
Blend is looking for talented software engineers to join our diverse and fast-growing engineering team. As a software engineer, you’ll work throughout the stack, from large-scale data processing to web UI. Specifically, you will be responsible for building new features and functionality enabling our company to deliver critical software to major mortgage lenders. If you are a developer with a deep understanding of CS fundamentals and are excited by a dynamic, collaborative work environment, we want to hear from you!
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
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.