Senior AI-Native Fullstack Engineer (m/f/d) - DevOps

Remote, DE | München

Vollzeit

Festanstellung

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. 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.

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.

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

Über uns

zvoove ist der weltweit marktführende Anbieter von KI-Lösungen für die Personaldienstleistungs-, Reinigungs- und Sicherheitsdienstleistungs-Branchen. Im dynamischen Ökosystem von Zeitarbeits-, Reinigungs- und privaten Sicherheitsfirmen, Arbeitnehmern und Unternehmen, digitalisiert und optimiert zvoove Prozesse für mehr Effizienz und Wettbewerbsvorteile. Durch die End-to-End-Digitalisierung für Dienstleister, mehr Jobangebote und Karrierechancen für Arbeitnehmer und zuverlässige Arbeitskräfte für Unternehmen verbessert zvoove die Arbeitswelt.

Rund 8.500 Kunden vertrauen auf zvoove. Sie verwalten heute über 3 Mio. Arbeitnehmer, 21 Mrd. EUR jährliche Gehaltsabrechnungen und über drei Millionen Bewerbungen pro Jahr über die zvoove Plattformen. zvoove beschäftigt weltweit 950 Mitarbeiter an 25 Standorten in ganz Europa und Lateinamerika.