Senior Backend Engineer

Join Us at the Forefront of Cryptographic Innovation!

At QIZ, we’re not just building technology - we’re reshaping the future of cybersecurity. Our

team is made up of passionate professionals who thrive on excellence, collaboration, and

curiosity. We work at the cutting edge of cryptography and quantum resilience, solving some

of the most complex challenges in modern security.

Senior Backend Engineer

Location: Ra’anana, hybrid

We’re seeking a Senior backend Engineer to design, build, and maintain scalable backend

systems and data architecture. You’ll develop APIs, model complex data relationships, and

ensure efficient storage and retrieval of asset and security intelligence.

This role is ideal for a senior engineer who thrives in data-rich environments, enjoys solving

complex architectural challenges in distributed systems, and is excited to mentor and elevate

the engineers around them.

What You’ll Do

• Design and implement scalable backend services using Go
• Build services for cloud-native environments (AWS/GCP/Azure) and production-grade deployments
• Build and optimize PostgreSQL schemas, indexing strategies, migrations, and query performance for large datasets
• Develop GraphQL APIs for flexible and efficient data access
• Model complex relationships between assets, configurations, and findings
• Build data processing pipelines and backend services
• Apply software architecture patterns across microservices and distributed systems
• Explore graph databases and algorithms to enhance data insights

What You Bring

• 6+ years of backend engineering experience building production systems (preferably at scale)
• Strong proficiency in backend development (Go preferred; strong experience in another backend language is acceptable)
• Proven ability to lead system design discussions and deliver robust architectures end-to-end
• Experience designing and operating cloud-native services in AWS/GCP/Azure with Kubernetes
• Deep experience with PostgreSQL, including schema design and query optimization
• Proven experience building GraphQL APIs
• Solid understanding of data modeling for large, interconnected datasets
• Strong understanding of distributed systems: microservices, eventual consistency, concurrency, caching, and scaling strategies
• Exposure to graph databases or graph algorithms
• Strong fundamentals in networking: TLS, DNS, routing, load balancing, etc.
• Strong engineering practices: testing, CI/CD, observability, secure coding, and documentation
• Strong communication skills and a collaborative, mentoring mindset