Senior Observability Engineer

The Senior Observability Engineer will act as a Technical Lead to drive major infrastructure transformations. This includes defining the new enterprise architecture, migrating historical legacy solutions (Splunk, Newtest), and ensuring systemic scalability.

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

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.

Our offer

• An attractive salary package ranging from €84,000 to €90,000 gross per year, with or without a company car
• 5 additional vacation days per year
• Meal vouchers for your lunch breaks
• A personalized development program, including at least 7 training days per year to help you enhance your skills
• Access to the Employee Club, giving you access to a wide range of daily benefits and discounts
• PC Plan allowing you to purchase IT equipment with 40% covered by the company.