Site Reliability Engineer (AI & GenAI)

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).
• Location: Parque das Nações Lisboa.

Remote Work :

No

Employment Type :

Full-time