Site Reliability Engineer (Cloud & AI Platforms)

  • Lisbon, Portugal
  • Full-Time
  • Hybrid

Job Description:

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)