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# Sr Software Engineer, Cloud - Vulnerability Management (Hybrid)

- **Company:** CrowdStrike
- **Location:** Richmond, CA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Windows, Artificial Intelligence, Amazon S3, Big Data, Cloud Computing, Software Quality, Cyber Security, Databases, Distributed Data Store, Distributed Systems, Elasticsearch, Graph Database, Internet Security, Windows API, Redis, OpenAI, Cloud Services, Software Engineering, Software Vulnerability Management, Datadog, Retrieval-Augmented Generation, Grafana, Event Driven Architecture, Kubernetes, Cassandra, Apache Kafka, Amazon Simple Queue Service (SQS), Terraform, Splunk, OpenSearch, Golang, Microservices
- **Published:** October 30, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-software-engineer-cloud-vulnerability-management-hybrid-richmond-ca--2fd98cbd-6390-462d-98cc-c9f50b7ac8e9

## About the Role

Software Engineering, Computer Security, Cloud Computing, Problem Solving Skills, Internet Security, Distributed Computing, Artificial Intelligence (AI), Large-Scale Systems, Computer Security, Endpoint Security, 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., * 10-15 years of backend engineering experience.

 * Solid experience with Golang/Java in production systems.
 * Strong understanding of distributed systems, microservices, and event-driven architectures.
 * Hands-on experience with AWS cloud services (S3, SQS, and similar)
 * Experience with Kafka or other event streaming platforms.
 * Strong database skills - Cassandra, Elasticsearch/OpenSearch, Redis, or similar distributed data stores.
 * Hands-on use of frontier-model SDKs (Anthropic, OpenAI, or similar) and AI-assisted development tools, with a realistic view of their capabilities and limits.
 * Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.
 * Ability to communicate effectively at all levels of an organization
 * Strong collaboration skills and experience working in a global team
 * Commitment to software quality - unit tested, code reviewed, and continuously integrated

Bonus Points:

 * Experience in cybersecurity - welcome, though not required
 * Experience with Kubernetes and event-driven autoscaling (KEDA)
 * Experience with observability tooling (Splunk, Grafana, LogScale, or similar)
 * Familiarity with security vulnerability management or cybersecurity platforms
 * Good understanding of Windows OS internals and the Windows API
 * Experience with infrastructure-as-code (Terraform, CDK, or similar)
 * Prior experience with large-scale data acquisition or content pipeline systems
 * Experience with evaluation and observability tooling for agentic systems
 * Experience with RAG pipelines, vector stores, or retrieval-augmented agents
 * Experience with graph databases and complex data modeling

#LI-MP2

#LI-SF1

## Description

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