• Design, migrate, and operate cloud-native platforms across AWS, GCP, and OCI • Analyze existing AWS architectures and translate them into functionally equivalent or optimized designs on GCP and OCI • Map AWS services (EC2, EKS, RDS, S3, IAM, ALB/NLB, Lambda, etc.) to their GCP and OCI counterparts, documenting patterns and tradeoffs • Build and maintain Infrastructure as Code using Terraform across multiple cloud providers • Support and enhance CI/CD pipelines for multi-cloud deployments • Collaborate with Platform Engineering teams to build standardized landing zones, networking, IAM, and security guardrails • Apply SRE best practices to improve availability, performance, and reliability (SLIs/SLOs, monitoring, alerting) • Support Kubernetes platforms (EKS, GKE, OKE) and cloud-native workloads • Partner with application teams to modernize workloads using containers and managed services • Assist with cloud cost optimization, resiliency, and disaster recovery strategies • Act as a technical advisor on multi-cloud architecture and operations.

• Design, migrate, and operate cloud-native platforms across AWS, GCP, and OCI. • Analyze existing AWS architectures and translate them into functionally equivalent or optimized designs on GCP and OCI. • Map AWS services (EC2, EKS, RDS, S3, IAM, ALB/NLB, Lambda, etc.) to their GCP and OCI counterparts, documenting patterns and tradeoffs. • Build and maintain Infrastructure as Code using Terraform across multiple cloud providers. • Support and enhance CI/CD pipelines for multi-cloud deployments. • Collaborate with Platform Engineering teams to build standardized landing zones, networking, IAM, and security guardrails. • Apply SRE best practices to improve availability, performance, and reliability (SLIs/SLOs, monitoring, alerting). • Support Kubernetes platforms (EKS, GKE, OKE) and cloud-native workloads. • Partner with application teams to modernize workloads using containers and managed services. • Assist with cloud cost optimization, resiliency, and disaster recovery strategies. • Act as a technical advisor on multi-cloud architecture and operations.

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.

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.