Staff Backend Engineer

Responsibilities

• Design and lead the development of scalable backend architectures and high-performance distributed systems.
• Build and operate services using Java or Golang to support complex product capabilities.
• Define backend architecture patterns and standards used across multiple engineering teams.
• Lead complex technical initiatives spanning multiple systems or product areas.
• Design systems that support high availability, resilience, and long-term scalability.
• Collaborate with platform, infrastructure, and data teams to ensure effective service integration.
• Drive improvements in system performance, scalability, and operational efficiency.
• Mentor engineers and provide technical leadership across backend engineering teams.
• Partner with senior technical leadership to shape long-term architecture and platform strategy.

Requirements

• Extensive hands-on experience building production backend systems.
• Strong expertise developing services in Java or Golang.
• Proven experience designing and scaling distributed systems.
• Deep understanding of microservices and service-oriented design.
• Strong experience with relational and distributed data systems.
• Experience building and operating systems in cloud environments such as AWS or Azure.
• Experience with containerized environments and modern software delivery practices.
• Strong debugging and troubleshooting capabilities in complex production systems.
• Ability to lead complex technical initiatives and influence engineering standards.

Preferred Qualifications

• Experience in large-scale global B2B/B2C products.
• Experience designing multi-tenant backend systems for large customer environments.
• Experience working with Kubernetes-based platforms and container orchestration.
• Experience building event-driven architectures and distributed messaging systems.
• Experience building systems that support data-intensive or AI-driven products.

About the Company

Wand Synthesis AI Inc turns AI into labor. We have built the world’s first Agentic Labor Infrastructure, enabling governments and global enterprises to create, manage, and scale digital workforces. Our mission is to integrate agent ecosystems into the core of business, allowing humans and AI agents to operate together safely, transparently, and at scale.