Note: The job is a remote job and is open to candidates in USA. Planbition, a zvoove company, is seeking a Senior AI-Native Fullstack Engineer with a focus on DevOps to support various engineering projects across AI-powered applications and cloud-native solutions. The role involves building services and APIs while managing cloud infrastructure and production operations, utilizing modern AI tools to enhance efficiency and reliability.

Responsibilities

• Fullstack Engineering: Build services, APIs, scripts, automation, internal tools and lightweight frontend functionality where useful, mainly in TypeScript
• Infrastructure & Cloud Setup: Use IaC, ideally AWS CDK, to build pragmatic cloud patterns across containers, databases, queues, storage, networking, DNS, secrets and runtime configuration
• ECS Fargate Operations: Deploy and troubleshoot ECS Fargate workloads, including task definitions, services, load balancers, IAM roles, logs, scaling and deployment behavior
• Security, Observability & Troubleshooting: Handle IAM, least privilege, secrets, logs, metrics, alarms, failed deployments, configuration issues, networking problems and runtime incidents

Skills

• Strong fullstack or backend engineering experience, especially with TypeScript; able to build production services, APIs, scripts, tools and automation
• Hands-on use of Claude Code, Codex or similar advanced AI tools; Copilot-style autocomplete is not enough
• Strong IaC and AWS or similar cloud experience, ideally AWS CDK with TypeScript, across containers, ECS Fargate, networking, IAM, secrets, DNS, storage, databases, queues and runtime configuration
• Strong observability, security and delivery judgment: logs, metrics, traces, dashboards, alarms, least privilege, deployment safety, pipeline permissions and safe developer access
• Pragmatic production debugger with good judgment on scalability, availability, cost, security, operational trade-offs and clear English communication
• Uses agents for development, infrastructure changes, debugging and operational investigation, while strongly reviewing and testing AI-generated code, scripts and configuration
• Builds application software and owns the infrastructure behind it
• Uses AI as a default development and troubleshooting workflow
• Cares about reliability, security, automation, observability and maintainability
• Chooses simple solutions, owns outcomes, and verifies aggressively
• Comfortable across application code, infrastructure code, deployments and runtime systems, from problem clarification to production rollout
• Deploy and troubleshoot ECS Fargate workloads, including task definitions, services, load balancers, IAM roles, logs, scaling and deployment behavior
• Handle IAM, least privilege, secrets, logs, metrics, alarms, failed deployments, configuration issues, networking problems and runtime incidents

Benefits

• Work across AI-powered SaaS and cloud-native products, use modern AI tooling daily, and shape pragmatic infrastructure that helps teams ship faster and more safely
• Collaboration in an empathetic, appreciative team with room to contribute ideas and take ownership
• Individual development opportunities, structured onboarding, and interdisciplinary collaboration
• Flexible working models including hybrid work, home office, and mobile working
• A modern tech environment and agile ways of working
• Additional benefits such as pension plans, health offers, and employee discounts

Company Overview