Senior AI‑Native Fullstack Engineer with DevOps Focus

Das ist der Job

This is not a traditional DevOps-only role.

Darum lohnt es sich

With modern AI and LLM tooling, repetitive engineering, infrastructure, debugging and automation work can be accelerated dramatically. We expect someone who uses AI-native workflows to investigate in parallel, generate and validate infrastructure changes, and support teams with high-quality execution.

Your 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 I look forward to receiving your application Svenja Krüßel D-49835 Wietmarschen-Lohne Tel.: 0170-7888740 E-Mail: career@zvoove.com Jetzt bewerben!

Job Description We are looking for a Senior AI-Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI-powered applications, SaaS platforms, and cloud-native solutions.

The role combines application engineering with infrastructure ownership: building services, APIs, automation and internal tools, while also running cloud infrastructure, deployments, observability and production operations.

Job Description We are looking for a Senior AI-Native Fullstack Engineer with a DevOps focus to support multiple engineering projects across AI-powered applications, SaaS platforms, and cloud-native solutions. This is not a traditional DevOps-only role.

The role combines application engineering with infrastructure ownership: building services, APIs, automation and internal tools, while also running cloud infrastructure, deployments, observability and production operations.

The ideal profile is a strong fullstack or backend engineer, preferably TypeScript-heavy, with hands-on depth in AWS, Infrastructure as Code, containers, networking, permissions, secrets and observability.

What We’re Looking For We are looking for a builder who can move across the full delivery chain: application code, infrastructure code, deployment, runtime configuration and production troubleshooting.

You should be someone who: • 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 Your tasks • 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 Your profile AI-Native Development & Operations • Hands-on use of Claude Code, Codex or similar advanced AI tools; Copilot-style autocomplete is not enough • Uses agents for development, infrastructure changes, debugging and operational investigation, while strongly reviewing and testing AI-generated code, scripts and configuration Fullstack / Software Engineering • Strong fullstack or backend engineering experience, especially with TypeScript; able to build production services, APIs, scripts, tools and automation • Comfortable across application code, infrastructure code, deployments and runtime systems, from problem clarification to production rollout Cloud, IaC & DevOps Operations • 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 Good Fit You may be a good fit if you are a fullstack/backend or TypeScript engineer with strong AWS, IaC and DevOps experience; a DevOps/platform or SRE-minded engineer with real software engineering depth; or an AI-native builder using LLMs and agents daily for real development and infrastructure work.

Not a Good Fit This role is probably not the right fit if you are mainly an infrastructure admin who avoids coding, a pipeline-only DevOps profile, a pure application developer with no cloud ownership, someone who only wants predefined tickets, or someone who does not actively use and validate AI-generated infrastructure, scripts and configuration.