Senior Software Engineer – Data & AI Platform

vivenu

. Build analytical query engines connecting MongoDB transactional backends with ClickHouse or modern analytical event stores .

Posted 11/10/2026full-timeDüsseldorf • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building high-throughput, distributed production services using Go, Python, or TypeScript/Node.js, with a strong focus on implementing RAG systems and analytical query engines. Proven ability to collaborate with cross-functional teams to define technical milestones and ensure data integrity through robust validation layers.

Highest-signal resume keywords

Go ProgrammingTypeScript/Node.js DevelopmentClickHouse ExperienceMongoDB ProficiencyDistributed Message Streaming

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

High-Throughput Production ServicesRAG Systems DeploymentSQL Query OptimizationData Schema DesignAnalytical Query Engines

Soft Skills

High AutonomyScrappinessCollaboration

Tools & Technologies

MongoDBPostgreSQLClickHouseKafkaRabbitMQ

Industry Keywords

Distributed SystemsData ValidationEvent StreamingReal-Time ReportingArchitecture Sessions

Tech Stack

Tools & technologies

ApacheCloudJavaScriptKafkaMongoDBNode.jsPostgresPythonRabbitMQSnowflakeSQLTypeScriptGo

About the role

Key responsibilities & impact

Build analytical query engines connecting MongoDB transactional backends with ClickHouse or modern analytical event stores
Implement and deploy RAG pipelines, semantic parsers, and agentic query supervisors that convert natural-language prompts into accurate SQL and aggregation queries
Write high-performance production services in Go or TypeScript/Node.js for real-time reporting dashboards
Partner with platform and security teams to build clean data schemas, strict audit trails, and automated evaluation suites
Collaborate in monthly in-person architecture sessions in Frankfurt with the VP of Engineering, CTO, and engineering leads to define technical milestones

Requirements

What you’ll need

5+ years of hands-on experience building high-throughput, distributed production services using Go, Python, or TypeScript/Node.js
Direct, hands-on production experience with ClickHouse or closely related low-latency analytical engines such as DuckDB, Snowflake, or Apache Pinot
Practical experience with MongoDB and PostgreSQL
Proven experience deploying production RAG systems, function calling, evaluation frameworks, and supervisor architectures such as LangGraph, LlamaIndex, or custom orchestration layers
Strong understanding of distributed message streaming using Kafka, RabbitMQ, or cloud pub/sub mechanisms
High autonomy and scrappiness
Ability to choose reliable, deterministic validation layers and battle-tested databases over fragile AI hype

Benefits

Comp & perks

Sustainable, profitable, VC-backed foundation
Continuous investment in people, products, and long-term vision
Collaboration with a diverse team of over 160 professionals
Work alongside experienced technology leaders and award-winning founders
Monthly in-person architecture sessions in Frankfurt