Backend Engineer with AI

Senior Backend Engineer:

DESCRIPTION

Build the Future Workforce

Wand turns AI into labor. It enables humans and AI agents to operate together as a unified, hybrid workforce, with comprehensive management and oversight. And it s already operating at scale inside some of the world s largest organizations.

Wand 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 work and business, unlocking a generational leap in the global economy. We re building the infrastructure that lets humans and AI agents operate together safely, transparently, and at scale.

Join Wand in leading the Agentic Shift

Wand is building a high-performing global team who take full ownership of what they build. We lead by example, move fast, make data-aware decisions, and continuously push for more- always with a focus on delivering real value to customers.

You would be joining a world-class team that combines deep research expertise and real-world product execution, with experience spanning Deepmind, Google, Amazon, Miro, Elise AI, IBM and Accern.

REQUIREMENTS

Position Summary:

We are hiring a highly experienced Senior Backend Engineer to design, build, and operate scalable backend systems that power Wand.

This is a hands-on engineering role focused on developing reliable, high-performance services and APIs that support complex product capabilities and large-scale customer environments.

Role Responsibilities:

Design, build, and maintain scalable backend services and APIs.

Develop high-performance distributed systems using languages such as Java or Golang.

Design backend architectures that support high availability, scalability, and resilience.

Collaborate closely with product, frontend, platform, and data teams to deliver end-to-end product capabilities.

Design and optimise data access patterns across relational and distributed data stores.

Contribute to service decomposition and microservices architecture where appropriate.

Build backend services that integrate with complex enterprise environments and external systems.

Ensure backend systems meet enterprise-grade performance, security, and reliability standards.

Participate in architectural design discussions and contribute to long-term platform evolution.

Implement strong testing strategies including unit, integration, and performance testing.

Improve system observability through logging, metrics, and tracing.

Support production services, troubleshoot issues, and contribute to incident response when required.

Optimise backend performance, scalability, and system efficiency.

Contribute to CI/CD pipelines to support safe, automated, and repeatable deployments.

Maintain strong technical documentation for services and architecture.

Key Requirements:

Strong hands-on experience in backend software engineering roles building production systems.

Extensive experience developing backend services in Java or Golang.

Experience building scalable, high-availability distributed systems.

Strong understanding of backend architecture patterns including microservices and service-oriented design.

Experience designing and building RESTful or gRPC APIs.

Experience working with relational databases and distributed data systems.

Experience building systems for enterprise software, SaaS platforms, or software vendors.

Strong understanding of system performance, scalability, and reliability engineering principles.

Experience building and operating services in cloud environments such as AWS or Azure.

Experience with containerised environments and modern development workflows.

Strong debugging and troubleshooting skills in complex production environments.

Experience contributing to CI/CD pipelines and modern deployment practices.

Ability to collaborate effectively across engineering, product, and infrastructure teams.

Strong written and verbal communication skills.

Preferred Experience:

Experience in large-scale global B2B/B2C products.

Experience building backend services for high-volume, multi-tenant systems.

Experience with Kubernetes-based platforms and container orchestration.

Experience designing systems that integrate with enterprise customer environments.

Experience supporting systems deployed within customer VPCs or private environments.

Experience working with event-driven architectures and messaging systems.

Experience working in organisations scaling rapidly in product and customer growth.

Experience working with AI-driven or data-intensive products.

Personal Characteristics:

Strong ownership mentality and accountability for system quality and outcomes.

Pragmatic problem solver who balances technical excellence with delivery.

Comfortable working in complex systems and navigating ambiguity.

Collaborative mindset with the ability to work effectively across teams.

Strong curiosity and commitment to continuous learning and improvement.

Ability to influence engineering standards and best practices.