Security Engineer III - SIEM (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 proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation.

We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. 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:

Get Data In (GDI) Integrations Content team at Next Gen-SIEM is responsible for building out of the box integrations for 3 rd party products to ingest and parse data into SIEM platform. We are looking for a passionate Security Engineer with expertise in data ingestion and integration for SIEM. This role focuses on designing, developing, and maintaining out of the box data connectors for CrowdStrike Next-Gen SIEM, ensuring seamless ingestion of security data from various third-party products.

The ideal candidate has hands-on experience in cybersecurity, data ingestion pipelines, log collection mechanisms, and security event processing. You should be well-versed in industry-standard data ingestion and integration methods and possess strong knowledge about security products and platform

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:

• Evaluate, develop, maintain, and enhance data connectors and parsers to ingest data from third-party security products into CrowdStrike Next-Gen SIEM
• Set up and maintain a lab or test environment for security products to validate data connectors and troubleshoot issues
• Troubleshoot and resolve issues with existing data connectors to ensure reliable log ingestion
• Collaborate with internal teams to define efficient logging, error handling, data normalization and documentation for data connectors
• Research and implement best practices for ingesting security logs from Firewalls, IDS/IPS, Cloud Security products, Endpoint Security, and other security products and platforms
• Write and maintain high-quality technical documentation for integration methods and troubleshooting guides
• Provide on-call support for critical data ingestion issues and production incidents
• Work with customers, customer success and customer support teams to troubleshoot and resolve data ingestion-related issues and ensure effective communication

What You'll Need:

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

6+ years of experience in cybersecurity and SIEM integrations

Experience in developing data connectors or ingestion pipelines for SIEM platforms such as Splunk, Sentinel, Exabeam, QRadar etc.

Experience in security data normalization schemas, parsing and data enrichment

Experience in setting up and managing environments for security products such as Firewalls, IDS/IPS, EDR, CASB, Identity Security, Email Security etc.

Experience with security events and its formats such as Syslog, CEF, LEEF, JSON, XML

Working knowledge of log processing or shipping tools such as Cribl, Splunk forwarder, Azure monitoring agent, LogScale log collector etc.

• Working knowledge on cloud-native logging services such as AWS CloudWatch, Azure Monitor, or GCP Logging
• Proficiency in at least one programming language, preferably Python or Go
• Strong documentation, communication and customer interaction skills

Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.