Remote Platform Engineer: Cloud Infra & Kafka

Focal Systems; Kraków; Remote; PLN 407,000 - 469,000; Full time

Benefits offered by this job

Stock options

Job summary

Focal Systems is seeking an Platform Engineer to own the production platform that ingests images from thousands of stores. You will manage ingestion, Kafka streaming, Python services, GPU model inference, databases and the GCP/Kubernetes stack.

You will tackle scale challenges as we process hundreds of millions of images daily, optimize costs and latency, and contribute to incident response and capacity planning across regions.

Qualifications

• Python as a software engineer, not only scripting.
• 5+ years building and operating production backend systems on a cloud platform (GCP preferred).
• Experience with stateful systems under load: Kafka/MySQL/MongoDB and related failover concepts.
• Production Kubernetes experience including autoscaling, GPU node pools and debugging pods.

Responsibilities

• Own design, operation and cost of production platform on GCP: Kubernetes, Kafka, MySQL, MongoDB, Redis, object storage.
• Drive reductions in COGS and latency; optimize GPU inference costs via sizing, batching, autoscaling or scheduling.
• Read and modify Python backend services (FastAPI, Kafka consumers); fix application-level bottlenecks.
• Address throughput bottlenecks like consumer lag; diagnose partitioning, throughput, autoscaling reactions.
• Improve metrics, alerts and dashboards; participate in incident response and capacity planning.
• Build tooling to access data across regions quickly; maintain infrastructure-as-code (Terraform, Helm).
• Collaborate with backend, DL and edge teams to evolve platform with new products and models.

Skills

Python

Kubernetes

Kafka

MySQL

MongoDB

Prometheus

Tools

GCP

Terraform

Helm

Job description

Focal Systems is seeking an Platform Engineer to own the production platform that ingests images from thousands of stores. You will manage ingestion, Kafka streaming, Python services, GPU model inference, databases and the GCP/Kubernetes stack.

You will tackle scale challenges as we process hundreds of millions of images daily, optimize costs and latency, and contribute to incident response and capacity planning across regions.