Site Reliability Engineer (AI & GenAI)

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

Site Reliability Engineer (AI & GenAI)

Key Responsibilities:

• Ensure the operation, stability, and availability of critical AI/GenAI applications across Development, UAT, Pre-Production, and Production environments.
• Implement and manage monitoring, alerting, and dashboard solutions to maintain high levels of performance and service reliability.
• Define and monitor reliability metrics, including SLIs, SLOs, and Error Budgets, fostering a strong Site Reliability Engineering culture.
• Participate in incident management, troubleshooting, problem resolution, and on-call activities, ensuring SLA compliance.
• Conduct post-incident reviews and implement corrective and preventive actions to improve platform resilience.
• Automate operational processes, deployments, and support activities through scripting, CI/CD pipelines, and Infrastructure as Code practices.
• Contribute to platform modernization initiatives, promoting containerization, automation, and DevOps best practices.
• Collaborate closely with Development, Cloud, Infrastructure, Security, Network, and Database teams.
• Drive continuous improvement initiatives focused on performance optimization, scalability, capacity management, and cost efficiency.

Proven experience in Site Reliability Engineering, DevOps, Production Engineering, Application Operations, or Production Support roles within complex enterprise environments:

• Proven experience in Site Reliability Engineering, DevOps, Production Engineering, Application Operations, or Production Support roles within complex enterprise environments.
• Strong knowledge of Linux/Unix systems , application troubleshooting, and production operations.
• Experience supporting and operating applications built with Python/FastAPI , APIs, cloud-native services, or similar technologies.
• Hands-on experience with automation and scripting using Python, Bash, or similar languages , as well as CI/CD pipelines and release automation.
• Solid understanding of Docker, Kubernetes , and Infrastructure as Code tools such as Terraform .
• Experience working with cloud platforms, preferably Microsoft Azure .
• Knowledge of observability, monitoring, and log management tools such as Dynatrace, Splunk , or equivalent solutions.
• Familiarity with SRE principles and practices, including SLIs, SLOs, Error Budgets, Postmortems, and toil reduction .
• Experience contributing to cloud transformation, platform modernization, or operational excellence initiatives.
• Understanding of databases, storage solutions, and distributed systems, including technologies such as PostgreSQL, pgvector, Azure Blob Storage , or similar.
• Fluent English (minimum B2 level). French is considered a plus.

Nice to Have:

• Experience with AI/GenAI ecosystems , RAG pipelines, vector databases, LiteLLM, or AI platform operations.
• Knowledge of Azure AI Services, Azure AI Foundry , and Document Intelligence solutions.
• Experience with hybrid cloud environments, virtualization technologies, or on-premises Kubernetes platforms.
• Exposure to Agile methodologies and technical leadership activities.

Personal Skills:

• Strong sense of ownership, autonomy, and accountability.
• Service-oriented mindset with a focus on reliability and operational excellence.
• Excellent analytical and problem-solving skills.
• Ability to collaborate effectively within multidisciplinary and international teams.
• Strong communication skills, with the ability to explain technical concepts to a variety of stakeholders.
• Comfortable working in fast-paced, demanding, and continuously evolving environments.

Workplace type: Hybrid (50% onsite, 50% remote).

Location: Parque das Nações, Lisboa.