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Senior Observability Engineer

Bridge 351
Lisboa

Candidate-se agora

Detalhes da oferta

Há 15 horas

Qualificações

Graduação

Descrição completa da oferta

Your profile

Experience

Education & Background: Bachelor’s degree in computer science or equivalent senior experience in Observability Engineering.
Core Migration Skills: Ideally experience on Splunk-to-ELK migrations.
Elastic Expertise: Deep knowledge of Elastic Stack clustering, data tiering, and lifecycle management (ILM).
Synthetic Testing: Experience with typescript development, including knowledge on Playwright is a plus.
Ecosystem Knowledge: Hands-on experience with Dynatrace, Grafana, or Prometheus in microservices/cloud environments (AWS/Azure).
Automation & CI/CD: Proficiency in scripting (Python/Bash) and integrating observability-as-code into CI/CD pipelines (Jenkins/GitLab).

Key Competencies

Technical leadership: Ability to design target architectures, define enterprise monitoring standards, and drive tech transformation.
Analytical Mindset: Deep troubleshooting skills with a strong capacity to analyze architectural performance bottlenecks and correlate multi-source data.
Communication & Governance: Strong documentation and cross-functional collaboration skills to guide teams through change.
Container Environment: Familiarity with Kubernetes and Docker orchestration combined with automated monitoring deployment.
Certification in Dynatrace, Performance Testing, or Cloud Monitoring is a plus.

Your tasks

Application Observability & Monitoring

Implement and scale observability solutions across applications and services to ensure full visibility into logs, metrics, and traces.
Consolidate and leverage modern observability technologies including Dynatrace, ELK Stack, Prometheus, and Grafana to centralize system performance visualization.
Manage the key performance indicators (definition and/or design global dashboards) related to application health, latency, and error rates.
Enable distributed tracing capabilities to allow automated performance bottleneck identification in microservices and API architectures
Deploy ML-based correlation and anomaly detection capabilities within the target platform to proactively identify performance trends and root causes.

Enterprise Architecture Design

Define the target cluster architecture for Elastic Enterprise license.
Design cost-effective data tiering strategies (Hot/Warm/Cold tiers).
Implement enterprise-grade RBAC security and cluster governance.

Legacy Migrations

Lead the complete migration from Splunk to ELK.
Decommission Splunk forwarders and deploy unified Elastic Agents.
Migrate Newtest/Ekara user-journey scenarios to modern synthetic solutions.
Integrate synthetic testing results with Elastic APM traces.

Observability Governance and Continuous Improvement

Establish organizational monitoring standards and performance KPIs for the new Elastic platform.
Collaborate with DevOps, SRE, and application teams to integrate automated performance testing and Observability-as-Code into CI/CD pipelines (GitLab CI).
Contribute to the definition and improvement of monitoring standards, performance KPIs, and operational excellence practices.
Define alerting and data correlation strategies to optimize incident detection and root-cause analysis workflows

What can you expect from us?

Mind-blowing workplace culture. You will be integrated in a professional, dynamic and collaborative team.

100% Remote opportunities

We want you to have the flexibility to work where you feel most comfortable and productive.

International Career

You can expect professional growth and to be connect with the world.
We are represented in Portugal, Belgium, Luxembourg, and Denmark.
And with projects in many other countries: Netherlands, Luxembourg, Singapore and in the United States of America (and a lot more is coming…)

Extra Benefits & Perks

If you wish to work with us and you are outside European Union (good news…) we are a Tech Visa Company, We will help!

As a plus, we provide Health and Life Insurance.

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Senior Observability Engineer

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Principal Machine Learning Engineer

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