Senior Software Engineer - Data & AI Platform (m/w/d)

vivenu GmbH
Düsseldorf, Germany
Hybrid

Who this role is best for

Best suited to candidates with experience in building high-performance data and AI systems, working in live entertainment tech.

Best fit for

  • Candidates with experience in AI and data pipeline engineering for high-volume transaction systems
    — “Build Analytical Query Engines: Connect our transactional backends (MongoDB) with modern analytical event stores (ClickHouse)”
  • Individuals who thrive in collaborative environments with CTO and VP of Engineering
    — “Collaborate directly in monthly in-person architecture sessions in Frankfurt alongside the VP of Engineering, CTO, and engineering leads”
  • Engineers with a strong background in low-latency, high-throughput systems and real-time reporting
    — “Maintain Low-Latency Reporting APIs: Write high-performance production services in Go or TypeScript/Node.js”

Things to consider

  • Monthly in-person architecture sessions in Frankfurt may require travel or relocation
    — “Collaborate directly in monthly in-person architecture sessions in Frankfurt”
  • The role demands a balance between AI innovation and deterministic validation layers
    — “Pragmatic Mindset: High autonomy and scrappiness—you choose reliable, deterministic validation layers and battle-tested databases over fragile AI hype”

How to stand out

  • Highlight your experience with RAG systems and agentic query supervisors in your resume
    — “Implement AI Retrieval & Reporting Workflows: Build and deploy Retrieval-Augmented Generation (RAG) pipelines”
  • Showcase your ability to work with both NoSQL and relational databases in your portfolio
    — “Database Mastery: Solid practical experience with both document/NoSQL stores (MongoDB) and relational engines (PostgreSQL)”
  • Emphasize your track record in event-driven architectures using Kafka or similar tools
    — “Event-Driven Architectures: Strong understanding of distributed message streaming using Kafka, RabbitMQ”
Pace · Fast PacedCollaboration · MediumAutonomy · HighDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • build analytical query engines
  • implement AI retrieval & reporting workflows
  • maintain low-latency reporting APIs
Typical background
5+ years of hands-on experience in data engineering

Skills & requirements

Required

High-throughput Distributed Production ServicesClickhouseMongoDBGoTypescript/node.jsAI Retrieval And Reporting Workflows

Preferred

RAG PipelinesSemantic ParsersAgentic Query Supervisors

Stack & domain

GoPythonTypeScriptNode.jsClickhouseMongoDBPostgreSQLKafkaRabbitmqTeamworkCommunicationLeadershipData EngineeringAISoftware Engineering

About the role

Original posting from vivenu GmbH via Lever

Redefine the future of live entertainment tech

Welcome to vivenu, the global leader in event ticketing tech and one of the world’s fastest-growing live entertainment tech firms. We are transforming event ticketing for global leaders like the Grammys, the Golden Globes, Stanford University and the Hockenheimring turning what was once a simple transaction into a strategic business advantage. Backed by over $65 million in funding, our platform empowers event organizers to own their brand experience, unlock deep data insights, and seamlessly integrate ticketing into their digital infrastructure.

With six offices worldwide and growing, we deliver a customizable, intuitive solution and industry-leading support that simplify even the most complex ticketing challenges – helping organizers deliver exceptional experiences and drive real growth.

Join us and build the future of live entertainment.

With over 10 million end users and usage quadrupling annually, our infrastructure now handles over 1 billion requests per month — and counting. Our API-first platform solves complex system challenges at scale — delivering performance, flexibility, and reliability for the world’s leading live entertainment brands.

As a Senior Software Engineer - Data & AI Platform (d/f/m) your responsibilities will include::

Your Responsibilities:

-

Build Analytical Query Engines: Connect our transactional backends (MongoDB) with modern analytical event stores (ClickHouse) to support sub-second aggregations across millions of ticket transactions.

-

Implement AI Retrieval & Reporting Workflows: Build and deploy Retrieval-Augmented Generation (RAG) pipelines, semantic parsers, and agentic query supervisors that convert natural language prompts into deterministic, accurate SQL and aggregation queries.

-

Maintain Low-Latency Reporting APIs: Write high-performance production services in Go or TypeScript/Node.js that power real-time reporting dashboards for global organizers without degrading transactional processing.

-

Centralize Data Flows & Auditing: Partner with platform and security teams to build clean data schemas, strict audit trails, and automated evaluation suites that catch hallucinated data or metric drifts before they reach clients.

-

Sprint Scoping & Architecture: Collaborate directly in monthly in-person architecture sessions in Frankfurt alongside the VP of Engineering, CTO, and engineering leads to define technical milestones.

What you will need to succeed in this role::

-

5+ years of hands-on experience building high-throughput, distributed production services using Go, Python, or TypeScript/Node.js.

-

Analytical Warehousing Experience: Direct, hands-on production experience with ClickHouse (or closely related low-latency analytical engines like DuckDB, Snowflake, or Apache Pinot) for high-volume event streams.

-

Database Mastery: Solid practical experience with both document/NoSQL stores (MongoDB) and relational engines (PostgreSQL).

-

Production AI / RAG Engineering: Proven experience deploying production RAG systems, function calling, evaluation frameworks, and supervisor architectures (e.g., LangGraph, LlamaIndex, or custom orchestration layers).

-

Event-Driven Architectures: Strong understanding of distributed message streaming using Kafka, RabbitMQ, or cloud pub/sub mechanisms.

-

Pragmatic Mindset: High autonomy and scrappiness—you choose reliable, deterministic validation layers and battle-tested databases over fragile AI hype.

Why join vivenu?

Live Entertainment Tech

Play a mission-critical role for global brands, redefining fan experiences from festivals to major sports events. Here, you’re part of the business of fun — powered by cutting-edge technology that brings moments to life for millions.

Sustainable Growth

We scale sustainably on a profitable, VC-backed foundation with true product-market fit. This means continuous investment in our people, products, and long-term vision.

Top-tier Team

Collaborate with over 160 dedicated professionals, including leaders from Google, Slack, and Salesforce. Together, we’re shaping the future of live entertainment technology, one decision at a time.

Global DNA

We’re a diverse, merit-driven team spread across six global offices. Talent and impact are what matter here — not hierarchy or background.

Fast Growing, in All Aspects

Sifted consistently ranks us among the fastest-growing scale-ups in Europe. We’re driven by daily learning, shared wins, and collective growth.

Next-Gen Leaders & Insights

Work alongside some of tech’s brightest minds — from Forbes 30 Under 30 founders to Executive of the Year award winners. At vivenu, you’ll help set the standard for the ticketing industry’s future.

vivenu Inclusion Statement

At vivenu, we believe our people define our success – and that we win with bold, diverse minds. The strongest teams are built on different perspectives, experiences, and voices. We’re committed to creating a workplace where everyone feels empowered to contribute, grow, and thrive to shape the future of live entertainment globally.

Check out our mission statement and corporate values here.

Source: vivenu GmbH careers (Lever)

Similar roles

More roles at vivenu