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

- **Company:** CrowdStrike
- **Location:** San Pablo, CA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $215,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Windows, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Big Data, Cloud Computing, Profiling, Software Quality, Cyber Security, Databases, Distributed Data Store, Distributed Systems, Elasticsearch, Graph Database, Python (Programming Language), Windows API, Redis, OpenAI, Cloud Services, Software Vulnerability Management, Datadog, Cloud Platform System, Retrieval-Augmented Generation, Grafana, Backend, Event Driven Architecture, Build Management, Kubernetes, Cassandra, Production Code, Apache Kafka, Amazon Simple Queue Service (SQS), Terraform, Splunk, OpenSearch, Golang, Microservices
- **Published:** November 2, 2026
- **Apply:** https://www.juju.com/job/3_5939262696

## About the Role

What You'll Do: Design and build high-throughput, low-latency backend services and APIs in Golang and Python Architect and operate cloud-native infrastructure across AWS and GCP at scale (S3, SQS, Kubernetes/KEDA, and more) Build and maintain Kafka-based event streaming pipelines for near-real-time vulnerability event processing Drive backend engineering and process automation across the platform Partner with security researchers and platform teams (Intel, EPP) to deliver integrated capabilities Own service reliability - performance profiling, incident response, and root cause analysis on time-sensitive production issues Continuously re-engineer for improved architecture, performance, and stability Write high-quality, well-tested, production-ready code with a focus on observability and operability Build agentic capabilities into the product - systems that reason over real data, use tools, and produce explainable results customers can act on Take AI capabilities from prototype
to production, owning latency, cost, correctness, and evaluation Design the guardrails and policies that make autonomous reasoning safe for enterprise customers What You'll Need: 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 LI-HTF Benefits of Working at