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CrowdStrike · 4 hours ago

Sr. Engineer, Data Services Control Plane (Remote)

United States

Full-time

Remote

Senior Level

$140K/yr - $215K/yr

5+ years exp

CrowdStrike is a global leader in cybersecurity, focused on stopping breaches with their advanced AI-native platform. The Data Services Control Plane Senior Engineer will design and develop robust software solutions for distributed data platforms while ensuring automation, scalability, and reliability across the infrastructure.

Artificial Intelligence (AI)Cloud Data ServicesCloud SecurityCyber SecurityNetwork Security

Growth Opportunities

No H1B

U.S. Citizen Only

Responsibilities

Design and implement scalable, high-performance software solutions for our distributed data platforms

Write production-quality code (primarily Golang, Java and Python) to build applications and APIs that automate infrastructure management

Ability to analyze and debug unfamiliar codebases and dependencies written in Java, Golang and Python, including third party applications upon which development and service teams rely

Develop and maintain microservices that interact with our data platform components

Create robust data processing pipelines that handle petabytes of security telemetry

Implement software solutions that monitor and optimize performance across our distributed systems

Collaborate with cross-functional teams to integrate new features and capabilities

Design and develop RESTful APIs and service interfaces for internal and external consumption

Participate in code reviews and contribute to engineering best practices

Troubleshoot complex software issues in production environments

Write comprehensive unit and integration tests to ensure code quality

Use Chef to deploy, configure and manage servers and applications

Be responsive to and troubleshoot time-sensitive production issues, regardless of when they happen

Maintain an understanding of the data components - including Cassandra, Elasticsearch/OpenSearch and Kafka, and use that understanding to operate and automate properly configured clusters

Work with Engineering to roll out new products and features

Keep petabytes of critical business data safe, secure, and available

Mentor and provide technical guidance to engineers across the team

Lead architectural discussions and drive technical decisions that impact multiple teams

Research and evaluate new technologies to improve platform capabilities

Build consensus across engineering teams for complex technical challenges

Participate in technical interviews and help define hiring standards

Qualification

GolangJavaPythonAPI designContainerizationCI/CD pipelinesAsynchronous programmingPerformance optimizationMonitoring toolsDevOps toolsCloud experienceDistributed systemsMentoringCommunication skillsTechnical leadership

Required

United States Citizenship OR Permanent Residency is necessary to retain access to resources for this role (NO Clearance necessary)

5+ years of professional software development experience

Strong proficiency in Go, Java and Python, with experience in building production applications

Experience with API design and development (REST in particular)

Experience with containerization technologies (Docker, Kubernetes)

Knowledge of software design patterns and principles (SOLID, DRY, etc.)

Familiarity with CI/CD pipelines and automated testing frameworks

Experience with asynchronous programming and event-driven architectures

Demonstrated experience mentoring engineers and leading technical initiatives

Track record of driving architectural decisions in ambiguous problem spaces

Experience influencing technical direction across multiple teams

Knowledge of performance optimization techniques for distributed systems

Familiarity with monitoring and observability tools (Prometheus, Grafana, etc.)

Experience with one or more of the following – the more the better, but if you know one we can train you on the other technology: Cassandra, Elasticsearch/OpenSearch, Kafka, Relational Databases (MySQL, PostgreSQL), Caching (Valkey/Redis/Memcached), Neo4j or other graph database, MongoDB

Experience with DevOps tools such as Git, Artifactory, Jenkins, Chef and Terraform

Experience with large-scale, business-critical Linux environments

Experience operating within the cloud. We prefer Amazon Web Services but also work with Google Cloud Platform (GCP) and Oracle Cloud Infrastructure (OCI)

Proven ability to work effectively with both local and remote teams

Track record of making great decisions, particularly when it matters most

Rock solid communication skills, verbal and written