Entry-Level Observability Engineer (Hybrid, Lisbon)

Noesis; Lisboa; Híbrido; EUR 18 000 - 26 000; Tempo integral

Resumo da oferta

Noesis in Lisbon is seeking a junior observability/DevOps support role focusing on implementing and maintaining monitoring solutions. You will help create dashboards, alerts, and reports while assisting in troubleshooting production issues and documenting best practices.

Join a team that collaborates across development and operations to strengthen CI/CD observability, with opportunities to learn Dynatrace, Datadog, Grafana, and PRTG in a hybrid Lisbon environment.

Qualificações

• Degree in Computer Science, Engineering, or related field or equivalent experience.
• Entry-level experience in monitoring, observability, DevOps, or IT operations.
• Basic understanding of observability concepts (metrics, logs, monitoring, alerts).
• Interest in Dynatrace, Datadog, Grafana, PRTG or similar tools.
• Nice-to-have Azure cloud knowledge and passion for CI/CD observability.

Responsabilidades

• Assist in implementing and maintaining observability and monitoring solutions.
• Create and update dashboards, alerts, and reports.
• Support troubleshooting of monitoring-related production issues.
• Document observability setups and best practices.
• Collaborate with development and operations to support CI/CD observability.

Conhecimentos

Willingness to learn

Communication skills

Problem solving

Attention to detail

Teamwork

Formação académica

Degree in Computer Science or Engineering

Ferramentas

Dynatrace

Datadog

Grafana

PRTG

Descrição da oferta de emprego

Noesis in Lisbon is seeking a junior observability/DevOps support role focusing on implementing and maintaining monitoring solutions. You will help create dashboards, alerts, and reports while assisting in troubleshooting production issues and documenting best practices.

Join a team that collaborates across development and operations to strengthen CI/CD observability, with opportunities to learn Dynatrace, Datadog, Grafana, and PRTG in a hybrid Lisbon environment.