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.
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Are you passionate about building high performant products or using cutting edge technologies? Are you interested in defining our products, working closely with Product Management, in a fast-paced Agile environment? Are you looking to be impactful and contribute to engineering initiatives to achieve product goals with excellence? StackRox has an opportunity for you where you can contribute your skills, expertise, ingenuity and passion to help us succeed in our mission!
WHO WE ARE LOOKING FOR
We are looking for a software engineer who is skilled in building large scale distributed software systems that are highly performant while reducing the cost of deployment in cloud infrastructures. The ideal candidate cares deeply about performance, resource footprint, elegant coding with a great understanding of data structures and algorithms for enterprise-grade products, and is a fearless experimenter with a willingness to try new things. You'll fit right in if you like solving challenging problems by architecting elegant solutions, designing algorithms and writing code.
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PREFERRED QUALIFICATIONS
ABOUT US
StackRox helps enterprises secure their cloud-native applications at scale from container build and deployment through runtime. Founded in 2014 by Sameer Bhalotra (former White House senior director for cybersecurity) and Ali Golshan (former co-founder and CTO of Cyphort), StackRox has assembled a team of experts in security, infrastructure, and machine learning. StackRox enables security teams to centralize container deployment governance, visualize the container attack surface, expose malicious activity, and stop attacker activity. It combines a new security architecture, machine learning, and protective actions to disrupt attacks in real time and limit their impact. Partnered with Docker, Amazon, Google, IBM and Red Hat, StackRox is the choice of both Global 2000 and emerging cloud-native enterprise companies.