Senior Backend Engineer - SaaS Data Protection

About IDrive

IDrive provides secure cloud backup, object storage, remote access and SaaS data backup to over 5 million users worldwide. Join an innovation-driven engineering team building the next-gen SaaS data protection platform.

About the Job

As a Senior Backend Engineer- SaaS Data Protection, you will work with a global team to design and develop scalable microservices that are part of our SaaS data protection solution.

What you will be doing:

Backend Architecture & Development

• Design and maintain NodeJS or .NET Core microservices (Go a plus) powering Office 365 and Google Workspace backup/restore.
• Apply SOLID principles, design patterns, and write unit/integration-tested, secure code.

Performance & Reliability

• Build event-driven, highly concurrent services using async I/O, worker queues, and multithreading.
• Optimize throughput/latency for TB-scale backup jobs with MongoDB sharding and indexing.

Cloud-Native Engineering

• Develop and deploy services on Linux-based cloud environments (AWS/GCP).
• Own end-to-end reliability with monitoring, logging, and alerting.
• Integrate with Microsoft Graph API, Google Workspace Admin SDK, and AWS S3 for seamless data protection pipelines.

Data & Messaging Systems

• Design scalable data models in MongoDB for metadata, job tracking, and backup indexes.
• Implement reliable message queues using RabbitMQ for job orchestration, retries, and fan-out patterns.

Collaboration & Leadership

• Lead technical design reviews, mentor juniors, and drive best practices.
• Work with global DevOps, QA, and product teams to ship robust features.

What we expect from you:

Experience & technical expertise

• 5 to 8 years backend development.
• Required: Expert in NodeJS (Event Loop, Streams, Clusters) or .NET Core (DI, Async/Await, Middleware). Go experience a plus.
• Strong grasp of concurrency, data structures, algorithms, and system design.
• Hands-on with Linux, CI/CD (GitHub Actions/Jenkins), and infrastructure-as-code.
• Experience building event-driven systems with RabbitMQ, Kafka, or SNS/SQS.
• Proficient in MongoDB: schema design, aggregation pipelines, sharding, and performance tuning.
• Bachelors in CS/Engineering or equivalent experience.

Good to Have

• Prior work on SaaS data protection platforms or cloud storage systems.
• Deep integration with Microsoft Graph (Mail, OneDrive, SharePoint) and Google Workspace (Drive, Gmail).