Senior Software Engineer, Python Backend, AI Infrastructure

credium

Senior Python backend engineer building production AI infrastructure for credium’s building-data platform. Owning distributed systems, APIs, reliability, scalability, and integration of LLM and ML services.

Posted 8/5/2026full-timeRemote • 🇩🇪 GermanySenior💰 €60,000 - €90,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating Python backend services, with a focus on designing resilient distributed systems and optimizing performance. Proven ability to lead cross-team technical discussions and align delivery while ensuring system reliability and scalability.

Highest-signal resume keywords

Python Backend DevelopmentAPI Development (FastAPI)Distributed Systems DesignCloud Platforms (Azure, GCP, AWS)Containerization (Docker, Kubernetes)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonAPI DevelopmentEvent-Driven PipelinesPerformance OptimizationLoad TestingObservabilityDebuggingMachine Learning IntegrationDistributed SystemsTask-Queue Systems

Soft Skills

Problem-SolvingStakeholder CommunicationCuriosity

Tools & Technologies

DockerKubernetesKafkaRabbitMQCeleryAzureGCPAWS

Certifications & Qualifications

ISO 27001 ComplianceGDPR Compliance

Tech Stack

Tools & technologies

AWSAzureDistributed SystemsDockerGoogle Cloud PlatformKafkaKubernetesPythonRabbitMQ

About the role

Key responsibilities & impact

Own core systems and their architecture, the production environment, and the platform's reliability, scalability, and performance
Consistently deliver high-quality features
Optimize resource usage and cost using monitoring and load-testing data
Work closely with machine learning engineers and backend developers to bridge AI models and production-ready software
Drive discussions with multiple stakeholders
Lead cross-team technical alignment and delivery

Requirements

What you’ll need

Several years building and operating Python backend services in production
Deep Python fundamentals
Strong experience building APIs, such as FastAPI or similar
Proven track record designing, owning, and scaling resilient distributed systems
Experience with event-driven pipelines and messaging/task-queue systems such as Kafka, RabbitMQ, or Celery
Experience with performance optimization and load testing at scale
Hands-on experience with Azure, GCP, or AWS
Experience with Docker and Kubernetes
Experience integrating or operating LLMs or other ML models in production
Strong experience with observability, including logging, metrics, and dashboards
Experience debugging complex production issues
Ability to take end-to-end ownership of Python development
Ability to drive stakeholder discussions and align delivery across teams
Strong problem-solving skills and genuine curiosity about production systems
Good written and spoken English
Experience working in an ISO 27001 / GDPR-compliant environment is a plus

Benefits

Comp & perks

Competitive salary
Virtual Stock Options (VSOPs)
Autonomy & responsibility from day one
Remote-friendly & flexible work environment
Your own gear + access to modern tools
Extras like Wellpass
Real-world impact - accelerate how Europe finances and transforms its residential building stock