דרושים » ניהול ביניים » Senior backend Engineer - SaaS Platform

We are looking for an experienced Senior Backend Engineer to join our SaaS platform team.
As part of our platform team, youll design and implement high-impact backend services, collaborate with frontend, DevOps, and product teams, and play a key role in shaping the next generation of our companys SaaS security architecture.
Youll help build and evolve the backend infrastructure that powers our cloud-native security platform, delivering advanced protection, observability, and scalability at global scale.
If youre passionate about solving complex backend challenges, scaling distributed systems, and driving innovation in cybersecurity, this is the place for you.
Key Responsibilities
Design, develop, and maintain cloud-native backend services supporting a large-scale SaaS security platform.
Build scalable, secure, and resilient architectures using modern AWS services (EKS, ECS, EC2, RDS, SQS, CloudFront, IAM).
Develop and optimize RESTful and event-driven APIs, backend integrations, and data flows.
Work in a microservices-based environment, ensuring high availability, observability, and performance.
Collaborate closely with frontend, DevOps, and product teams to deliver end-to-end solutions.
Implement monitoring, alerting, and reliability best practices for production environments.
Write clean, maintainable, and testable code, contributing to best practices and design standards.
Participate in architecture and design reviews, influencing the technical direction of the platform.

We're seeking an experienced Fullstack Backend Engineer to join our team working on our platform. You'll be responsible for developing and maintaining core components of our AI-driven cybersecurity solution that helps enterprises detect, investigate, and respond to advanced threats across their entire IT estate.

Key Responsibilities:

Design and develop scalable backend services and intuitive front-end interfaces for our platform
Implement data ingestion and processing pipelines for large volumes of security data
Integrate AI-driven analytics capabilities and optimize system performance
Develop APIs and integrations with various IT and security tools
Implement robust security measures and ensure compliance with industry standards
Troubleshoot complex issues across the full stack of our application