> Markdown version of [/jobs/ext/3735358-sr-engineer-risk-platform-hybrid](https://www.wearedevelopers.com/jobs/ext/3735358-sr-engineer-risk-platform-hybrid). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Engineer - Risk Platform (Hybrid) - **Company:** CrowdStrike - **Location:** Sunnyvale, CA, United States - **Experience:** Expert - **Salary:** $140,000.0 - $215,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Code Review, Databases, Data Structures, Relational Databases, Shard (Database Architecture), Distributed Systems, Python (Programming Language), PostgreSQL, Object-Oriented Software Development, Queueing Systems, Redis, Distributed Caching, SQL Databases, Strategies of Testing, Concurrency, Caching, Parallel Computation, Information Technology, Apache Kafka, Restful APIs, Golang, Microservices - **Published:** October 14, 2026 - **Apply:** https://jobs.military.com/career/365506/sr-engineer-risk-platform-hybrid-california-ca-sunnyvale ## About the Role * 8-10 years of production experience building, delivering, and maintaining large-scale distributed systems processing high-volume data\n * Advanced programming expertise in object-oriented languages with strong typing (we primarily use Golang and Python-we'll help you master our stack!)\n * Proven microservices experience with designing scalable REST APIs and distributed communication patterns\n * Strong cloud infrastructure knowledge with major providers (AWS preferred, plus Azure and GCP) for provisioning, monitoring, and optimization\n * Solid distributed systems understanding including concurrency, parallel processing, and scalability patterns (sharding, eventual consistency, caching strategies)\n * Message queue proficiency, particularly Kafka (message design, throughput estimation, lag monitoring, and performance considerations)\n * Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.\n * Database versatility across RDBMS/SQL (PostgreSQL preferred) and distributed caching solutions like Redis\n * System troubleshooting expertise for complex distributed architectures with focus on performance and reliability\n * Engineering best practices experience including testing strategies, code reviews, and resilient architecture design\n * Collaborative technical skills with ability to mentor junior engineers and contribute to technical decisions\n * Bachelor's degree in Computer Science/Engineering or equivalent professional experience\n * Strong foundation in algorithms, data structures, and system design principles\n