Site Reliability Engineer (AI & GenAI)

Inetum Portugal; Lisboa; Hybrid; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Inetum Portugal is seeking a Site Reliability Engineer (AI & GenAI) to ensure reliability and performance of AI-powered solutions across development, UAT, pre-production, andProduction environments. You will implement monitoring, define SLOs/SLIs, and automate deployments with CI/CD and IaC practices.

The role requires strong Linux/Unix skills, Python/FastAPI experience, and hands-on Kubernetes/Docker with Terraform, plus Azure cloud familiarity. Hybrid work model in Portugal is offered.

Qualifications

• Experience in Site Reliability Engineering, DevOps, Production Engineering, Application Operations, or Production Support in complex enterprise environments.
• Strong knowledge of Linux/Unix systems and production operations.
• Experience supporting apps built with Python/FastAPI, APIs, cloud-native services, or similar.
• Hands-on scripting with Python/Bash and familiarity with CI/CD pipelines and release automation.
• Solid understanding of Docker, Kubernetes, and IaC tools like Terraform.
• Experience with cloud platforms, preferably Microsoft Azure.
• Knowledge of observability and log management tools such as Dynatrace or Splunk.
• Familiarity with SRE principles: SLIs, SLOs, error budgets, postmortems, toil reduction.
• Experience contributing to cloud transformation or platform modernization.
• Understanding of databases and distributed systems (PostgreSQL, pgvector, Azure Blob Storage).
• Fluent English (minimum B2); French a plus.

Responsibilities

• Ensure operation, stability, and availability of AI/GenAI applications across all environments.
• Implement and manage monitoring, alerting, and dashboards for reliability.
• Define and monitor SLIs, SLOs, and error budgets to drive reliability culture.
• Participate in incident management, troubleshooting, and on-call activities.
• Conduct post-incident reviews and implement corrective actions.
• Automate operations, deployments, and support via scripting and CI/CD pipelines.
• Contribute to platform modernization with containerization and DevOps best practices.
• Collaborate with Development, Cloud, Infrastructure, Security, Network, and Database teams.
• Lead continuous improvements for performance, scalability, and cost efficiency.

Skills

Site Reliability Engineering

DevOps

Production Engineering

Python/FastAPI

Linux/Unix

CI/CD pipelines

Docker/Kubernetes

Terraform

Azure

Observability

SLIs/SLOs

Tools

Dynatrace

Splunk

Terraform

Docker

Kubernetes

Microsoft Azure

Job description

Inetum is a European leader in digital services. Inetum’s team of 28,000 consultants and specialists strive every day to make a digital impact for businesses, public sector entities and society. Inetum’s solutions aim at contributing to its clients’ performance and innovation as well as the common good.

Present in 19 countries with a dense network of sites, Inetum partners with major software publishers to meet the challenges of digital transformation with proximity and flexibility.

Driven by its ambition for growth and scale, Inetum generated sales of 2.5 billion euros in 2023.

Job Description

Do you want to play a key role in the evolution of AI and Generative AI platforms that support critical business services? We are looking for a Site Reliability Engineer (AI & GenAI) to ensure the reliability, availability, and performance of AI-powered solutions while contributing to the modernization and automation of production environments.

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.

Qualifications

• 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.

Additional Information

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