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As a Security Infra Engineer, youll design, build, and manage security aspects of our cloud-based and physical environments to ensure compliance and integrity. In your day-to-day, you will:

Design, implement, and maintain platforms for investigating and analyzing security incidents, performing root cause analysis, and coordinating remediation efforts

Design, implement, and maintain security tools and controls for cloud-based infrastructure, Kubernetes clusters, and services, ensuring compliance with industry standards

Build tools and scripts using Golang, Python, or Node.js

Collaborate with all infrastructure groups (cloud, networking, DB, DevEx, etc.) and the Chief Information Security Officer group (for example, for incident response)

Align with other infrastructure standards, including efficiency, reliability, and cost

Work closely with cross-functional teams to design, implement, maintain, and manage security solutions that ensure the integrity and confidentiality of our systems

We are looking for a talented Senior Backend Developer to join our development team. As part of the team, you will contribute to building and enhancing high-scale, multi-tenant SaaS products that support customers worldwide. You will work in a hybrid environment, collaborating closely with highly skilled engineers in an agile, sprint-based methodology. This role is critical to the continued success of our next-generation security and monitoring platforms, ensuring performance, scalability, and reliability across multiple regions and tenants.

Key Responsibilities
Architect, design, and develop robust, high-quality backend services and APIs for our large-scale SaaS platform.

Own the end-to-end delivery of features in an agile, CI/CD environment, from conception to deployment.

Ensure the scalability, resilience, and high performance of our applications to support a rapidly growing, multi-tenant customer base across multiple regions.

Integrate with and optimize a diverse set of distributed data systems, including PostgreSQL, Redis, RabbitMQ, and Elasticsearch.

Champion and implement observability best practices (metrics, logging, tracing) using tools like Prometheus, Grafana, and OpenTelemetry to ensure system health and proactive monitoring.

Collaborate closely with product managers, frontend developers, and DevOps engineers to translate customer needs into impactful technical solutions.

Continuously explore, evaluate, and adopt new technologies to enhance our architecture and development efficiency.

Mentor and guide other developers, fostering a culture of technical excellence and knowledge sharing.

As a Machine Learning Engineer, youll work as part of Wixs CTO Office team alongside researchers on cutting-edge problems to give Wixs products a competitive advantage. Your work will span challenges in vision models, LLM-based agentic architectures, reinforcement learning, reasoning, and more. In your day-to-day, you will:

Build the infrastructure and data for training models

Collaborate with researchers and Wix product teams to design and integrate AI models

Run POCs

Explore cutting-edge solutions that can be the next strategic direction for Wix

Brainstorm and research novel ideas in various fields