Sr. Backend Engineer - Cloud (Hybrid)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

As our new Senior Engineer - Cloud, you’ll be part of the GDI (Getting Data In) group under NG-SIEM with a focus on data ingestion at petabyte-scale. The group focuses on the data ingestion and onboarding experience for NG-SIEM customers, ingesting several petabytes of data per day across multiple regions from 100+ 1st party and 3rd party data sources.

The Integrations Platform team within the GDI group is responsible for building the framework and platform for connectors development and running the connectors that ingest data from varieties of data sources. As a member of this team, you will have the opportunity to work with a talented team that builds scalable framework, platform and pipelines that ingest data at scale with quality.

This role is hybrid, on-site at our NYC Office Location. Candidates should be comfortable visiting the office twice a week once the development center is established. 

What You’ll Do:

• Work on building a platform that powers developing and running data connectors at scale with quality. 

• Build generic data connectors such as file ingestion framework, websocket, Rest APIs that can process large amounts of data with low latency

• Developer platform features like integrations certification, easy development, testing and deployment

• Solve hard problems in distributed systems, including high availability, reliability, performance and cost optimizations

• Develop platform / systems in Go & Python.

• Support globally available, multi-region systems in production

• Lead and participate in cross-team platform-level initiatives and projects

• Work in a team of friendly, trustworthy and knowledgeable colleagues

• Do best practices in software development; code review, automated tests, agile development, retrospective, incremental improvements and continuous deployment

• Troubleshoot critical production issues

• Participate in scoping, designing and developing of new features

• Continuous improvement of internal tools and processes

• Contribute to internal SDKs and connector runtime infrastructure to enable other developers to build and deploy integrations for new 3rd party data sources.

What You’ll Need: 

• Bachelor’s or Master’s degree in Computer Science or related field or equivalent work experience.

• 8+ years of experience designing, implementing, and maintaining   complex software applications, products, systems, preferably in a SaaS delivery model, across all phases of the development lifecycle.

• Hands on experience in large-scale (distributed) system architecture, high scalability and availability, and optimization

• Fluency in at least one programming language, preferably in Go / Python.

• Experience with commercial clouds (AWS, Azure, GCP)

• Can-do attitude, and you thrive when collaborating in a team and are not afraid of taking on responsibilities.

• Demonstrated track record of operational excellence when operating services that span many components across several geographical regions.

• Strong communication skills; working collaboratively and confidently with internal stakeholders.

Bonus Points: 

• Familiarity with Security Data Ingestion platforms, data ingestion architecture