Staff DevOps Engineer - AI Platform & Reliability

Bain & Company; Województwo mazowieckie; On-site; PLN 180,000 - 280,000; Full time

Job summary

Bain & Company seeks a Senior DevOps Engineer to own cloud infrastructure, CI/CD pipelines, and platform observability for its Growth AI Performance System. You will build reliable, scalable infrastructure and work with AI services and agentic workflows in production.

You will collaborate across Security, AI Engineering, and product teams, mentor peers, and help shape architecture. This hands-on role offers real ownership over infrastructure decisions within Bain’s global scale.

Qualifications

• 5+ years in DevOps, platform engineering, or SRE roles.
• Experience owning CI/CD and infrastructure for a multi-service platform.
• Experience with MLOps or AI platform infrastructure is a strong advantage.
• Based in or able to work from Warsaw or Sao Paulo near a Bain office.

Responsibilities

• Design, provision, and manage cloud-based distributed infrastructure for the Growth AI Performance System platform across Azure or AWS.
• Maintain full environment parity across development, staging, and production; ensure that the infrastructure engineers develop against is the infrastructure that client deployments run on.
• Own release engineering and deployment sequencing across the platform: coordinate releases across services with dependencies, manage rollback procedures.
• Build observability tooling for agentic AI workloads: tracing multi-step agent execution, monitoring LLM API usage and cost, surfacing context passing failures.
• Define and maintain SLOs and alerting thresholds for all platform services; lead incident response for infrastructure and platform failures.

Skills

Cloud infrastructure

IaC

CI/CD

Kubernetes

Observability

MLOps

Security

Linux

Scripting

AI platform

Education

Bachelor’s degree in CS/Engineering

Tools

Terraform

Docker

Git

Jenkins

Job description

Bain & Company seeks a Senior DevOps Engineer to own cloud infrastructure, CI/CD pipelines, and platform observability for its Growth AI Performance System. You will build reliable, scalable infrastructure and work with AI services and agentic workflows in production.

You will collaborate across Security, AI Engineering, and product teams, mentor peers, and help shape architecture. This hands-on role offers real ownership over infrastructure decisions within Bain’s global scale.