Staff Software Engineer (Go, Python) - Endpoint Security

What are we looking for?

As part of SentinelOne’s main product line - Endpoint Protection, we secure tens of millions of devices across the globe of all kinds of OS (Windows, Linux, macOS), and process billions of security events every day. Our team provides crucial SaaS platform capabilities, such as:

• Building services (e.g. gateways, caching, threat data ingestion etc) that remotely keep track of the Agent fleet, providing capabilities for management & upgrading of agents themselves or assets used by such agents, package management, upgrade schedules etc.
• Developing deep health reporting of agent fleet which enables our customers to take timely actions to manage the agents such as upgrading them and enabling/ disabling them.

You'll be joining a team with a significant impact on how our customers' environments (incl. 4 or Fortune10 companies, hundreds of Global2000 or governments) are protected, how they interact with agents, gain visibility into their security posture, and understand the risks and act upon them. As a core team at S1, we're heavily involved in every end-to-end effort, features development and are key contributors to the design and build of the right architecture of S1's cybersecurity solution to match the scale & hyper-growth of our business.

What will you do?

• Design, develop, implement, test, document, and operate large-scale, high-volume and low latency applications, built to handle several millions of events per second.
• Translate business and functional requirements into robust, scalable, operable solutions that work well within the overall data architecture.
• Participate and collaborate with cross functional teams in the organization to understand the business requirements and to deliver solutions that can scale.
• Maintain application stability and data integrity by monitoring key metrics and improving codebase accordingly.
• Understand & maintain existing codebase by regular re-factoring and applying requested fixes and features.
• Learn new technologies that can solve our huge volume of data and the challenges it poses.

Your Toolkit:

• Our new components are primarily developed in Go, we also use Java and Python in our current backend environment.
• Communication between microservices is facilitated using gRPC, REST, GraphQL APIs, and Kafka, depending on specific requirements.
• We use PostgreSQL, ClickHouse and have our columnar time-series database for efficient event storage and retrieval at scale.
• Our services are deployed across 6 AWS/GCP regions with Kubernetes; among other tools, you'd use also Docker, Redis, GitHub and ArgoCD.

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