Sr. Engineer - Cloud (Backend)

TL;DR

Sr. Engineer - Cloud (Backend): Designing and building scalable backend services and cloud infrastructure for a risk platform that powers cybersecurity exposure management, with an accent on distributed systems, APIs/microservices, and data pipelines. Focus on troubleshooting performance and reliability at scale, integrating multiple database ecosystems, and ensuring production service reliability with strong technical leadership.

Location: Bucharest, Romania

Company

CrowdStrike builds an AI-native cybersecurity platform for preventing breaches and managing organizational exposure.

What you will do

• Design and develop scalable backend services, APIs, microservices, and data pipelines for internal and customer-facing web applications.
• Collaborate with DevOps to implement cloud infrastructure on AWS, Azure, or GCP, including automation for deployment, monitoring, and maintenance.
• Build and operate database and data engineering solutions across distributed stores (e.g., OpenSearch, Cassandra, Iceberg, Neo4j) and OLAP (Apache Pinot), plus caching (Redis/Valkey) and ETL/ingestion pipelines.
• Troubleshoot complex distributed architectures, improve monitoring/logging, and drive performance and reliability optimizations.
• Provide technical guidance and mentorship, contribute to technical vision/strategy, and deliver integrated solutions with cross-functional partners.
• Ensure operational excellence with advanced monitoring/alerting, high availability, and incident response procedures.

Requirements

• Advanced programming expertise in Golang, Python, or similar languages.
• 10+ years of production experience with large-scale distributed systems and proven microservices experience with scalable REST APIs.
• Strong distributed systems fundamentals (concurrency, parallel processing, scalability patterns) and troubleshooting experience for complex architectures.
• Experience building data platforms at scale with distributed ETLs/ingestion pipelines; message queue proficiency (Kafka or similar).
• Database versatility across systems such as OpenSearch, Cassandra, Redis/Valkey; experience with OLAP and large-scale analytical problems.
• Strong cloud infrastructure knowledge (AWS, Azure, GCP, OCI) and ability to ensure security/compliance in production.

Nice to have

• Practical experience with Golang, Cassandra, Kafka, OpenSearch, SQL, Redis, and Apache Pinot.
• Cybersecurity or intelligence field experience.
• Graph database knowledge (nodes, edges, relationships).
• Open source contributions and/or technical community involvement.
• Docker and Kubernetes experience.

Culture & Benefits

• Market-competitive compensation and equity awards.
• Comprehensive physical and mental wellness programs.
• Competitive vacation and holidays, plus paid parental and adoption leaves.
• Professional development opportunities regardless of level or role.
• Employee networks and volunteer opportunities; vibrant office culture.
• Great Place to Work Certified™ across the globe.

Hiring process

• Interview process focused on technical depth in distributed systems, backend/cloud architecture, and data engineering.
• Discussion of collaboration/leadership and fit for building and operating production risk platform capabilities.