Enter a job title or keyword
Senior AI-Native Fullstack Engineer (mfd) DevOps
Job Location:
Monthly Salary:
Posted:
22 August 2026 (16 hours ago)
Posted:
Application Deadline:
19 November 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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 Were 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:
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 Were 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
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.
- 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
- 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
- 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
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
Über uns
Die zvoove Group ist der weltweit marktführende Anbieter von Software und 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 die zvoove Group Arbeitswelten.
Mehr als 6.500 Kunden vertrauen der zvoove Group. Heute verwaltet zvoove über drei Millionen Beschäftigte 24 Milliarden Euro Jahreslohnvolumen und drei Millionen Bewerbungen pro Jahr über seine Plattform. zvoove beschäftigt knapp 1.000 Mitarbeitende an 27 Standorten in Europa und Lateinamerika.
Mehr als 6.500 Kunden vertrauen der zvoove Group. Heute verwaltet zvoove über drei Millionen Beschäftigte 24 Milliarden Euro Jahreslohnvolumen und drei Millionen Bewerbungen pro Jahr über seine Plattform. zvoove beschäftigt knapp 1.000 Mitarbeitende an 27 Standorten in Europa und Lateinamerika.
Required Experience:
Senior IC
About Company
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 ... View more
