Site Reliability Engineer (Cloud & AI Platforms)

About us

Komodo Consulting is a technology and strategy firm specializing in Digital Transformation. Operating in Portugal and Poland, we provide IT Consulting & Nearshore services. We support both public and private sector organizations through two main areas:

• Consulting - with a focus on strategy, investment analysis, and digital process improvement;

• IT Team Augmentation - helping clients scale and strengthen their tech teams.

The project

We are seeking a Site Reliability Engineer (Cloud & AI Platforms) to work on a project for a Technology Company.

You will have the following responsibilities:

• Ensure the reliability, availability, and operational health of cloud and data platforms within Azure environments;
• Define and implement SLAs, SLOs, operational models, and disaster recovery strategies;
• Manage incidents, alerting systems, and continuously improve operational processes;
• Implement and maintain observability solutions using Azure Monitor, Application Insights, and telemetry-driven insights;
• Monitor platform performance, availability, and operational consumption, including cost efficiency;
• Design and implement automation aligned with existing architecture, promoting engineering over manual operations;
• Collaborate closely with data, architecture, and development teams to support cloud-native platforms and workloads;
• Provide operational support for data and AI platforms, including Microsoft Fabric and Azure Machine Learning.

You need to have the following skills/experience:

• Strong experience as an SRE or in a similar reliability engineering role with a software engineering mindset
• Solid background in cloud environments, particularly Microsoft Azure;
• Proven experience in automation, observability, and cloud platform operations;
• Experience implementing monitoring, alerting, and disaster recovery strategies from scratch;
• Familiarity with Azure Monitor, Application Insights, and telemetry-based observability practices;
• Experience working with data platforms and/or AI/ML environments (e.g., Azure Machine Learning, Microsoft Fabric);
• Ability to work cross-functionally with architecture, data, and development teams;
• Hands-on, autonomous profile with the ability to structure and improve operational models;
• Strong technical communication skills.

Location

Hybrid (3 days per week at the office in Lisbon)