Senior Backend Python Engineer (Kubernetes, AWS)

Описание вакансии

#python #kubernetes #remote

Senior Backend Python Engineer (Kubernetes, AWS – advanced level – MUST)

Salary is up to 7500 USD gross (up to 8000 usd gross for candidates with Tech Lead|Team Lead experience)

REMOTE, full-time, b2b contract, location of the candidate and legal entity, bank account of the candidate – outside of Russia, Belarus and Turkey (candidates with Russian and Belorussian citizenship are not allowed here)

https://truelogic.ai/

What we’re building. TrueLogic is an applied AI lab building semantic AI that can actually think with you — LLM agents grounded in formal knowledge representations and sound reasoning. Our systems combine multilayered knowledge graphs with advanced reasoning agents to analyze highly complex domains with scholarly precision,

in settings where agents need a deep context layer to understand their environment and take the right actions: scientific research, enterprise knowledge, and beyond.

Research sets our direction; the platform makes it real. We’re looking for a Senior Backend Engineer to own that platform — the multi-tenant SaaS infrastructure, data pipelines, and services that turn research-grade AI systems into reliable products. You don’t need prior LLM or AI experience: you need to be excellent at designing

and operating distributed systems, and curious enough to pick up the AI side as you go. If you want your infrastructure work to sit at the center of cutting-edge AI rather than adjacent to it, this is the role.

Your role

Architect and implement scalable backend services and multi-tenant SaaS systems.

Design and operate high-throughput data pipelines (batch and streaming) feeding knowledge-graph construction and retrieval.

Build the API and service layer through which our products consume LLM inference, retrieval systems, and knowledge graphs.

Own reliability, observability, security, and cost across our Kubernetes-based, cloud-native environment.

Work alongside researchers and AI engineers to productionize research-grade systems into robust distributed services.

What you’ll need

7+ years of commercial backend engineering experience.

5+ years of commercial experience with Python.

Deep experience with distributed systems and cloud-native environments. (AWS – MUST)

Experience architecting, developing, and deploying Kubernetes-based systems.- MUST

Strong experience with data pipelines and SaaS architectures.

B2 English

Nice to have

Go and/or Scala.

Exposure to LLM APIs, model serving, or inference infrastructure.

Graph databases (e.g., Neo4j), vector databases, or search infrastructure.

Streaming platforms (Kafka, Flink, or similar).