Hybrid AI/GenAI Site Reliability Engineer

Inetum2; Lisboa; Hybrid; EUR 55,000 - 75,000; Full time

Job summary

Inetum seeks a Site Reliability Engineer to ensure the operation, stability and availability of AI/GenAI applications across Development, UAT, Pre-Production and Production.

You will implement monitoring and dashboards, define SLI/SLOs, participate in incidents, and drive automation via Python, CI/CD and IaC. Hybrid work in Lisbon, collaborating with multi-disciplinary teams to boost performance and cost efficiency.

Qualifications

• Proven SRE/DevOps experience in complex enterprise environments.
• Strong Linux/Unix knowledge and production operations.
• Experience with Python, APIs, cloud-native services, and CI/CD pipelines.
• Automation via scripting (Python/Bash) and IaC (Terraform).
• Docker, Kubernetes, and Azure familiarity; observability tooling knowledge.

Responsibilities

• Ensure operation, stability and availability of AI/GenAI apps across environments.
• Implement monitoring, alerting and dashboards for reliability.
• Define and monitor SLIs, SLOs and error budgets; incident management.
• Post-incident reviews and preventive actions to improve resilience.
• Automate deployments and operations via scripting, CI/CD and IaC.
• Drive platform modernization with containerization and DevOps best practices.
• Collaborate with Development, Cloud, Infra, Security, Network and DB teams.
• Focus on performance, scalability, capacity and cost efficiency.

Skills

SRE

DevOps

Python

Bash

Docker

Kubernetes

Terraform

Azure

Dynatrace

Splunk

PostgreSQL

Tools

FastAPI

CI/CD

Git

Job description

Inetum seeks a Site Reliability Engineer to ensure the operation, stability and availability of AI/GenAI applications across Development, UAT, Pre-Production and Production.

You will implement monitoring and dashboards, define SLI/SLOs, participate in incidents, and drive automation via Python, CI/CD and IaC. Hybrid work in Lisbon, collaborating with multi-disciplinary teams to boost performance and cost efficiency.