Senior DevOps Engineer, AI Platform & Production Infra

Bain & Company, Inc.; Warszawa; Hybrid; PLN 180,000 - 300,000; Full time

Job summary

Bain & Company, Inc. is seeking a DevOps Engineer to join the Growth AI Performance System Platform and Security team. You will help build and maintain cloud-native infrastructure, CI/CD pipelines, and observability for AI-driven platforms used by global clients.

This role blends engineering rigor with a startup mindset inside a global firm. You will work across Azure/AWS, containerized deployments, and monitoring to ensure reliability, scalability, and fast delivery.

Qualifications

• Solid foundation in cloud infrastructure across Azure or AWS.
• Experience building and operating CI/CD pipelines and cloud infra.
• Proficient with Docker and containerized deployments; Kubernetes familiarity.
• Proficient in Linux administration and scripting (Python, Bash).
• Experience with monitoring and alerting tools and metrics.
• Interest or exposure to LLM/AI infra and agentic systems.

Responsibilities

• Build and maintain CI/CD pipeline components for Growth AI platform services.
• Maintain local development environment and onboarding tooling; improve developer experience.
• Support release engineering operations: deployments, monitoring, and incident response.
• Learn full CI/CD toolchain and take ownership of pipeline areas as you grow.
• Contribute to observability tooling: logging, metrics, tracing for AI platform workloads.

Skills

Cloud infrastructure

CI/CD pipelines

Docker & Kubernetes

Linux scripting (Python, Bash)

Monitoring & alerting

MLOps interest

Security fundamentals

AI infrastructure awareness

Team collaboration

Education

Associate’s or bachelor’s degree in computer science/engineering/mathematics

Tools

Docker

Kubernetes

Azure

AWS

Job description

Bain & Company, Inc. is seeking a DevOps Engineer to join the Growth AI Performance System Platform and Security team. You will help build and maintain cloud-native infrastructure, CI/CD pipelines, and observability for AI-driven platforms used by global clients.

This role blends engineering rigor with a startup mindset inside a global firm. You will work across Azure/AWS, containerized deployments, and monitoring to ensure reliability, scalability, and fast delivery.