About the company:
Kiefer Tech, the technology arm of Kiefer, leverages over 12 years of engineering heritage from the Green Energy sector to deliver cutting-edge AI, robotics, and enterprise solutions across Greece and the EU. We build sovereign AI infrastructure that keeps data within EU borders, respect privacy, and delivers tangible business impact. Guided by our core values: innovation, quality, and long-term client partnerships, we create enterprise-grade AI infrastructure, the first true Greek Large Language Models, and intelligent automation solutions that empower organizations to thrive. Our strategic collaboration with NVIDIA combines sustainable infrastructure expertise with world-class AI technology, creating an ecosystem that fosters innovation, strengthens Greece’s technological sovereignty, and generates real impact across industries. Join us and help build the AI-powered world of tomorrow.
Our stack: Python (FastAPI) and TypeScript (Node.js) microservices on Kubernetes, with PostgreSQL, Redis, and AWS.
About the role
Senior Backend Engineer on the Sophea platform team. You will shape the architecture behind enterprise-grade AI products, strengthen reliability, and enable engineering teams to ship faster with confidence. Significant technical autonomy. Not a maintenance role.
What you will do
Design and evolve backend services in Python (FastAPI) and TypeScript across the platform
Identify bottlenecks and propose pragmatic simplifications
Own critical services end-to-end: design, implementation, production, monitoring
Improve developer experience: local dev, CI/CD, testing, documentation
Establish engineering standards for service design, API contracts, and operational readiness
Mentor engineers through code reviews, design discussions, and leading by example
What you will need
6-8+ years of professional backend engineering experience
Strong expertise in Python (async, FastAPI or similar) and working proficiency in TypeScript/Node.js
Deep experience with PostgreSQL (query optimization, schema design, migrations)
Hands-on with Docker, Kubernetes, and AWS
Track record building and operating production-critical distributed systems
Architectural judgment: knowing when to scale and when to keep things simple
Nice to have
Redis, OpenSearch/Elasticsearch
AI/ML products or LLM-powered applications
Event-driven architectures and async processing
Developer tooling or platform engineering
What is there for you
Compensation: upper-quartile for Greek/EU market, private health insurance (or equivalent for remote EU)
Remote: fully remote within EU, or hybrid from Athens
Ownership: direct influence on architecture and engineering culture from day one
AI-native: work daily with LLMs and AI infrastructure, not just CRUD
Growth: budget for conferences/courses, path to tech lead / staff engineer
Culture: engineering-first, low meetings, high autonomy, async-first
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