Job Description

About Bull

Bull is a story. One with a century of European innovation and a working environment where experts design powerful, sustainable, and sovereign digital solutions, enabling states and industries to retain full control over their data and their AI.

Bull is also thousands of engineers, researchers and passionate tech people shaping the future of high‑performance computing, AI, and quantum technologies.

Every day, our teams push the boundaries of what is technologically possible – from next‑generation HPC architectures to exascale supercomputers – supported by world‑class R&D, more than 1,600 patents, and unique end‑to‑end capabilities spanning hardware design, software engineering, data science and quantum research.

We are a people‑centric, innovation‑driven company, where collaboration spans Europe, the Americas and India. We share a common vision of a responsible and sustainable innovation that delivers concrete impact for our customers.

We are looking for an experienced Software Engineer - Infrastructure Automation to join our global Infrastructure Automation Engineering team In this role, you will design, build, and operate core automation platforms responsible for managing infrastructure across 20+ data centers worldwide.

You will work on a Python‑based infrastructure management platform, developing distributed services and automation workflows that interact directly with real-world infrastructure: compute, storage, networking, and firmware. This role is ideal for an engineer with strong backend foundations, hands‑on experience with distributed systems, and the ability to operate across multiple layers of a cloud‑native, large‑scale platform.

Key Responsibilities:

• Design, build, and operate a Python‑based infrastructure automation platform acting as the central orchestration layer for infrastructure lifecycle management.
• Develop distributed backend services and APIs for provisioning and automation across compute, storage, networking, and firmware.
• Implement and maintain infrastructure automation workflows using Apache Airflow and Ansible
• Work within a distributed, event‑driven architecture leveraging asynchronous Pub/Sub communication.
• Apply modern software architecture principles (DDD, Hexagonal / Onion Architecture) and write clean, maintainable code following SOLID principles
• Deploy and operate containerized services on Kubernetes (GCP) and manage cloud resources declaratively.
• Ensure reliability, observability, and scalability of production systems using tools such as Prometheus
• Design and optimize data models and queries across MongoDB, SQL, and Redis to support automation workflows.
• Build internal developer tooling and automation, including CI/CD, GitOps pipelines, and GitHub‑based workflows.
• Contribute to AI‑powered operational tools, integrating AI workflows with infrastructure systems.
• Work closely with real‑world data center infrastructure, including compute, storage, networking, and firmware processes.

Required Qualifications:

• Strong proficiency in Python for backend development.
• Experience building or contributing to distributed systems
• Solid understanding of software architecture principles (DDD, clean / hexagonal architectures).
• Hands-on experience with Kubernetes and containerized services.
• Experience designing and operating infrastructure automation workflows
• Strong knowledge of databases, preferably MongoDB
• Experience working with production systems (observability, reliability, troubleshooting).

Nice to Have:

• Experience with Google Cloud Platform.
• Familiarity with Airflow, Ansible, Prometheus.
• Experience with typed Python (mypy), Pydantic, FastAPI
• Experience with GitOps and GitHub automation.
• Exposure to BigQuery or large-scale analytics.
• Background in AI / LLM systems (LangGraph, OpenAI, Google ADK).
• Experience with global-scale infrastructure platforms.

Location: Bydgoszcz, Poland (hybrid working model)

What We Offer

• Opportunity to work on a global infrastructure automation platform interacting with real-world systems
• High level of ownership and impact on technical decisions
• Modern engineering environment with strong focus on quality
• Collaboration with experts in distributed systems, cloud, and AI
• Continuous learning and cross-domain development opportunities.

Join us!

Here, your ideas, your curiosity and your technical excellence directly shape the next era of advanced computing - unlocking enterprise value, accelerating scientific progress and driving positive impact for society.