Senior Platform Engineer (Python)
ACAISOFT POLAND Sp. z o.o.
⚲ Warszawa, Mokotów
23 520–28 560 zł netto (+ VAT) / mies.
Wymagania
- Python
- AWS
- Lambda
- Kubernetes
- Terraform
- GitHub
- GitHub Actions
- Azure DevOps
- MCP
- A2A
- LangGraph
- Llama Index
- Pydantic AI
- OpenAI APIs
- SDKs.
Opis stanowiska
Nasze wymagania: Minimum 6 years of experience in the IT industry, including at least 3 years in a similar role. Fluency in Python for backend service development. Being able to work with AWS managed services: Lambda, Step Functions, Textract, Bedrock, IAM. Knowledge of Kubernetes in production (multi-AZ, autoscaling, RBAC, health checks) and Docker Infrastructure-as-Code (Terraform) and CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent) proficiency. Availability for daily team calls (6:00 PM-9:00 PM CEST). Mile widziane: Cloud identity and secrets management, plus observability tooling for production workloads Experience with GenAI technologies such as MCP, A2A, LangGraph, Llama Index, Pydantic AI, and OpenAI APIs/SDKs. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. O projekcie: Hi there! If you’re looking for a high-impact position in an ambitious software house, we’ve got a match for you! Currently, we are searching for a Platform Engineer to cooperate with our US client - the company integrates production-grade, governed AI workflows into complex enterprise systems by addressing common friction points like poor integration and lack of domain expertise. The organization combines deep domain knowledge with cutting-edge capabilities to accelerate the deployment of reliable AI products. Working hours are generally flexible; however, availability is required daily between 6:00 PM and 7:00 PM CEST due to regular meetings with the client’s team. Zakres obowiązków: Working with Python for backend service development Dealing with AWS managed services: Lambda, Step Functions, Textract, Bedrock, IAM Being responsible for Kubernetes in production (multi-AZ, autoscaling, RBAC, health checks) with Docker Working with Infrastructure-as-Code (Terraform) and CI/CD pipelines (GitHub Actions, Azure DevOps, or equivalent) Dealing with Cloud identity and secrets management, plus observability tooling for production workloads