About the Role

📍Hybrid from Madrid or Valencia 

You will engineer the core of our proprietary internal platform that democratizes AI across the company. This is not a standard full-stack role maintaining existing systems, you will build the factory that enables other teams to create autonomous AI Agents. You will design Chain of Thought reasoning flows, integration layers, and agent logic that allow AI to execute complex business tasks at scale. This is applied AI engineering: no model fine-tuning, just sophisticated system design and relentless execution. You will join a new focused team of two engineers, collaborating daily with the AIGO team and cross-functional partners across Global Operations, Customer Satisfaction, and Engineering.

Key Responsibilities

• Develop and expand our internal AI platform, enabling internal teams to build autonomous AI Agents without deep ML expertise
• Engineer Chain of Thought reasoning flows and integration layers that power agent logic
• Build reliable, long-running AI Agent systems that handle failures at scale and prevent cascading outages when external LLM providers go down
• Design node-based tools for intent retrieval, context management, and API routing
• Program agent logic using TypeScript, Node.js, Express, React, Next.js, and SQL
• Maintain a high bar for software quality and reliability while innovating at speed
• Integrate AI-native tooling (Cursor, Claude Code) into your development workflow without sacrificing code quality

Key Requirements

• Experience with TypeScript, Node.js, Express, React, Next.js, and SQL
• Practical knowledge of Docker, Kubernetes, and Linux environments
• Hands-on experience with Chain of Thought (CoT), Agent building, and RAG concepts
• An AI-First mindset: you already use Cursor or Claude Code and possess the engineering rigor to validate AI-generated code
• Proven track record of shipping software to production

Nice to Have

• Proficiency with Cursor or Claude Code 
• Knowledge of ML theory (helpful for context, though fine-tuning is not part of the role)

What Success Looks Like

First 30 days: Set up your development environment, adopt AI-first workflows, gain a functional understanding of our internal AI platform, ship a bug fix to production, and build your first AI Agent using our platform.

First 60 days: Deep dive into a key product area’s architecture, design and implement a small-scale AI feature, and demonstrate independence in troubleshooting and shipping without hand-holding.

First 90 days: Take ownership of a significant AI feature from concept to production, contribute to internal documentation on Agent best practices, and actively participate in architectural reviews as a fully integrated team member.

One year: Transform a portion of our AI platform with a major AI-driven application feature, become recognized as a stakeholder in building and optimizing AI Agents across Groupon, and maintain a high bar for software quality while innovating at speed.

We Are Interested In

A true builder who wants to engineer the platform that powers AI Agents, not just write prompts. You bring a balance of “Old School” engineering discipline (reliability, structure) and “New Wave” AI agility. You are excited to use the latest AI-native stack to create sophisticated internal tools that drive global operations and shape how a global company operationalizes AI. 

#LI-KH1  #LI-Hybrid

Welcome to DKB Code Factory…. 

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{ { … a_place_to_stay_curious:

Join DKB Code Factory as a Product Owner and take full ownership of shaping digital self-services for business banking customers at one of Germany’s leading banks. Drive impactful product delivery in a modern agile environment, collaborating closely with cross-functional teams to enhance the banking experience for thousands of users.

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• Own and drive the end-to-end development of digital self-service products for business banking customers.
• Prioritize and manage product backlog using user story mapping and agile methodologies.
• Lead design sprints to validate user needs and define structured requirements.
• Collaborate transparently with business stakeholders, customer support units, UX, and development teams.
• Ensure delivery quality and alignment across all stakeholders in an agile, international setting.
• Continuously improve agile workflows, reducing rework and accelerating time-to-market.
• Influence strategic decisions through close collaboration with senior management.

] } ;

{ following_qualifications_would_be_in_line_with_our_desired_profile_for_this_position: [

• Proven experience as a Product Owner in agile product development, ideally in financial services or related sectors.
• Strong user-centric mindset with the ability to translate customer needs into validated use cases.
• Expertise in design sprints, user story mapping, backlog prioritization, and agile workflows.
• Excellent stakeholder management and communication skills, balancing diverse demands confidently.
• Experience leading cross-functional, full-stack development teams (backend + mobile).
• Familiarity with tools such as Jira, Confluence, and Miro.
• Technical understanding of mobile app functionality, API-driven architectures, and backend banking systems.
• Ability to work effectively in an international, interdisciplinary, and fast-paced environment.
• High ownership, adaptability, and a strong focus on quality.
• You're passionate about your work, but also know how to enjoy your free time!

] } ;

We are looking for a Head of Infrastructure to own the strategy and execution of our hybrid infrastructure. This role is perfect for a leader who understands the "full stack" of infrastructure—from physical data centers to managed cloud services—and can bridge the gap between technical complexity and business goals.

You will lead a team of specialists, ensuring our Linux-based ecosystem and Kubernetes clusters (on-prem and cloud) are reliable, scalable, and fully automated.

Key Responsibilities

• Infrastructure Strategy: Develop the vision for a hybrid environment that balances the performance of on-prem bare metal with the agility of the public cloud.
• Architectural Oversight: Guide the design of robust, scalable solutions. You aren't the one clicking the buttons, but you are the one ensuring the architecture is sound.
• Team Leadership: Build and manage a high-performing team of DevOps and SRE engineers. Foster a culture of accountability and continuous learning.
• Automation Evangelism: Drive the transition toward "No-Ops" by prioritizing automation across all layers of the infrastructure stack.
• Vendor & Capacity Management: Manage the lifecycle of hardware and data center relationships. Balance OpEx (Cloud) and CapEx (On-Prem) effectively.
• Security & Compliance: Ensure that the infrastructure meets modern security standards, from network isolation to access management.

Technical Profile (Strong Conceptual Understanding)

• Linux Foundations: A solid understanding of Linux internals, file systems, and server management principles.
• Networking Principles: Strong grasp of L2/L3 networking, routing, BGP, and load balancing, especially in the context of connecting data centers to the cloud.
• Kubernetes Ecosystem: Good understanding of K8s architecture, including how it runs on bare metal versus managed services (EKS/GKE). You should understand orchestration, persistent storage, and service discovery.
• Cloud Platforms: Experience managing environments in AWS, GCP, or Azure.
• Modern Tooling: Familiarity with the CNCF landscape, CI/CD pipelines, and Infrastructure as Code (Terraform, Ansible).

Core Competencies

• Management Excellence: Proven track record of leading technical teams and managing stakeholders.
• High Responsibility: A "the buck stops here" attitude regarding system reliability and team performance.
• Strategic Thinking: The ability to decide when to build on-prem (for cost/performance) and when to use cloud (for speed/flexibility).
• Process Driven: A focus on documentation, post-mortems, and standardized workflows.