Site Reliability Engineer

Komodo Consulting; Lisboa; Híbrido; EUR 65 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work model

Resumo da oferta

Komodo Consulting in Lisbon is seeking a Site Reliability Engineer to ensure the reliability, availability, and operational health of our cloud and data platforms hosted in Microsoft Azure. You will work across data, architecture and development teams to implement automation and observability, and to design DR strategies.

The role suits a hands-on engineer with a software mindset, strong Azure skills, and the ability to structure operational models that scale while optimizing cost and

Qualificações

• Strong experience as an SRE or reliability engineer with a software mindset.
• Proven cloud experience with Microsoft Azure.
• Experience in automation, observability, and cloud operations.
• Experience building monitoring, alerting, and disaster recovery from scratch.
• Familiar with telemetry-based observability practices using Azure tools.
• Experience with data/AI platforms (Azure ML, Fabric).

Responsabilidades

• Ensure the reliability, availability, and 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.

Conhecimentos

SRE / reliability engineering

Microsoft Azure

Automation

Observability

Disaster recovery

Telemetry

Data platforms / AI environments

Cross-functional collaboration

Technical communication

Ferramentas

Azure Monitor

Application Insights

Azure Machine Learning

Microsoft Fabric

Descrição da oferta de emprego

Descrição do cargo

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 to work on a project for a Technology Company.

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.

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 experiencein 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 (2 days per week at the office in Lisbon)