Senior Backend Engineer Remote AI Security Platform

CrowdStrike Inc.; Hartford (CT); À distance; USD 265 000 - 285 000; Plein temps

Avantages offerts par ce poste

Equity awards

Wellness programs

Generous vacation and holidays

Parental/adoption leaves

Professional development

Employee networks

Vibrant office culture

Great Place to Work Certification

Résumé du poste

CrowdStrike, Inc. is seeking a backend engineer to design, develop, and maintain cloud-based cybersecurity software. You will build distributed systems, implement scalable microservices, and contribute to the architectural standards that power our AI-native platform.

You'll work across cloud deployments (AWS/Azure/GCP), containers (Docker/Kubernetes), and data stores (Postgres/Redis/Elastic). Remote work from anywhere in the US is permitted.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering or related field, plus five years’ experience.
• Experience building backend modules for distributed systems using microservices and containerization.
• Cloud deployments (AWS/Azure/GCP) with IaC and CI/CD pipelines.

Responsabilités

• Design, develop, and maintain backend systems for cloud-based cybersecurity solutions.
• Create distributed architectures for endpoint management platforms.
• Implement microservices for scalable, event-driven systems.
• Contribute to architecture and best practices; participate in code reviews.

Connaissances

Distributed systems

Microservices

Go/Python/Java

Docker/Kubernetes

AWS/Azure/GCP

Database: Redis/Postgres/Elastic

REST APIs/OpenAPI

Security: JWT/OAuth

Observability: Jaeger/Prometheus

Code reviews / PRs

Formation

Bachelor’s degree in CS/CE/EE or related field

Outils

Docker

Kubernetes

Kafka/RabbitMQ

Terraform/CloudFormation

RDS/Lambda/S3

Postgres/Elasticsearch/OpenSearch

Spring Boot/Gin

Description du poste

CrowdStrike, Inc. is seeking a backend engineer to design, develop, and maintain cloud-based cybersecurity software. You will build distributed systems, implement scalable microservices, and contribute to the architectural standards that power our AI-native platform.

You'll work across cloud deployments (AWS/Azure/GCP), containers (Docker/Kubernetes), and data stores (Postgres/Redis/Elastic). Remote work from anywhere in the US is permitted.