Backend / Platform Engineer

Threat Stack

(Boston, Massachusetts)
Full Time
Job Posting Details
About Threat Stack
Threat Stack is purpose-built to support organizations running in the cloud and the unique requirements of a cloud-based or hybrid infrastructure. In order to protect your sensitive data, you need to know who is doing what, where, and when – at all times.
Summary
Our platform is built in Node.js, Scala, and python, and leverages ElasticSearch, RabbitMQ, Cassandra, and other high-scale platforms running in Amazon Web Services. We’re looking to expand to additional languages and toolkits as our data and event processing needs scale. We expect you to be psyched about learning new languages and platforms quickly and passionate about finding the right solution for the job. We’re an agile team, so we’re definitely looking for solid generalists that are enthusiastic about taking on any task.
Responsibilities
* Build new features and APIs that allow us to better meet our customers’ needs * Work up-and-down our platform stack, from datastores to edge REST APIs (and if you’re into it, dive into the front-end code) * Explore new ways for us to efficiently ingest, process, store, and leverage the vast amount of data we capture * We use Threat Stack to protect Threat Stack. We want you to use our product and be vocal about how we can improve it – if it works for you, it’s likely going to work for our customers
Ideal Candidate
* Experience building and scaling high-volume, highly-available SaaS solutions * API design (e.g., REST-style Web services) for internal and external consumers * Experience developing and scaling data stores for large distributed systems * Have designed and developed distributed systems for real-time and batch processing and analytics * Debugging issues in distributed systems, including monitoring performance and identifying bottlenecks * Comfortable programming in Unix environments (e.g., Linux and OS X) * Have some exposure to infosec or a keen interest in learning more * Experience with databases systems of all sorts, including relational and NoSQL solutions, and informed opinions on when to use them * Maniacal focus on quality

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