• Develop and maintain Golang-based services and applications • Work on Kubernetes-based cloud solutions, including deployment and scaling • Build and manage CI/CD pipelines using Jenkins, GitHub Actions, or similar tools • Implement and manage cloud infrastructure on AWS, GCP, or Azure • Integrate chatbots and other developer tools into cloud platforms • Monitor and troubleshoot systems using Prometheus, Grafana, and Vault • Collaborate with cross-functional teams to ensure smooth delivery of solutions

About Our Client Servant is partnering with a forward-thinking organization focused on helping teams work smarter, not harder. By combining thoughtful strategy, intuitive tools, and a people-first mindset, enabling organizations to optimize how work gets done—improving efficiency, clarity, and outcomes across the business. With a strong emphasis on collaboration and continuous improvement, our client partners closely with its customers to solve real-world challenges and deliver practical, scalable solutions. The team values curiosity, ownership, and impact, and is committed to building products and experiences that genuinely support the way people work today. As our client continues to grow, they are investing in talented, mission-driven individuals who want to shape the future of work and make a meaningful difference for customers and teammates alike. Role Summary The role of Backend Engineer is foundational to our clients Human-Led AI Orchestration Layer. You will build secure, scalable backend infrastructure and DevOps systems that power authentication, multi-tenant access, Action Points™, Metadata layer and Human-led AI orchestration flows. You are both a backend engineer and an infra-minded builder, capable of delivering fast APIs, secure data boundaries, Azure infrastructure, and Clerk-driven identity across the platform. Everything you build is expected to be revenue-ready. Key Responsibilities Backend Engineering - Build scalable API services. - Integrate Clerk Authentication for identity, RBAC, token validation, and authorization. - Implement core backend for human-led AI workflows. - Support multi-tenant architecture, secure session management, and API hardening. DevOps / Cloud Engineering - Deploy and manage Azure infrastructure (Functions, App Services, AKS, Key Vault). - Build and maintain CI/CD pipelines (GitHub Actions or Azure DevOps). - Implement Infrastructure-as-Code using Terraform or Bicep. - Configure monitoring, logging, observability, and uptime automation. - Optimize cloud cost, performance, and reliability.

• Build robust web applications. • Collaborate with team members to create scalable solutions. • Maintain backend applications using Ruby on Rails. • Integrate frontend applications with RESTful APIs. • Design and develop web architecture considering performance.

• Design, develop, and maintain high-performance Go microservices using FastHTTP, gRPC, and Protocol Buffers • Build and optimize distributed client-server architectures that run across customer infrastructure • Implement real-time ML inference integration with models in C • Create robust data ingestion pipelines feeding into the Data Warehouse for analytics and ML training • Optimize systems for sub-millisecond response times under high load • Monitor production systems using Prometheus, structured logging, and custom metrics • Contribute to architectural decisions for scalability and maintainability • Write clean, maintainable, well-tested code following Go best practices • Document system design, APIs, and operational runbooks • Collaborate with ML engineers to integrate models into production systems