Software Engineer, SRE (Senior/Staff levels)
Kustomer- Full Time
- Senior (5 to 8 years), Mid-level (3 to 4 years)
Crowdstrike
Candidates are required to have 10+ years of full-time experience developing microservices for a SaaS product using languages such as Go, Java, Scala, Kotlin, C++, Python, or Node.js, along with a Bachelor’s degree in Computer Science or equivalent experience in data structures, algorithms, and distributed systems. They should possess a deep understanding of distributed systems, scalability challenges, multi-threading, concurrency, and parallel processing technologies, and demonstrate the ability to scale backend systems through techniques like sharding and horizontal scaling.
As a Sr. Software Engineer, the individual will develop and maintain services to meet reliability and scalability demands, develop and enhance monitoring services, brainstorm and define new features collaboratively with multiple teams, obsess over learning and championing new technologies, constantly re-evaluate the product to improve architecture, knowledge models, user experience, performance, and stability, act as a self-starter taking ownership of deliverables, use and contribute to the open source community, and possess excellent communication skills.
Cloud-native endpoint security solutions provider
CrowdStrike specializes in cybersecurity, focusing on protecting businesses from cyber threats through cloud-native endpoint security solutions. Their main product, the Falcon platform, includes services like Falcon Pro, which replaces traditional antivirus with next-generation antivirus that integrates threat intelligence, Falcon Insight for endpoint detection and response, and Falcon Device Control to manage connected devices. Unlike many competitors, CrowdStrike's services are subscription-based, allowing clients to choose different levels of protection based on their needs. The company serves a diverse clientele, including many Fortune 100 companies, and is recognized as a leader in the cybersecurity field, known for its effectiveness in threat detection and response.