Job description:
For our client Volvo Cars we are looking for a **Observability DevOps Developer**.
Volvo Cars builds products that make owning a car better. They work on platforms such as Connected Car Cloud Platform, Telematics Platform and Mobile Network Access to connect the cars all over the world. With these platforms they enable other product teams to efficiently build customer applications on top.
Volvo Cars is now looking to reinforce the team with a passionate Observability DevOps Developer. You will be part of a team with colleagues in the same role with whom you can share and discuss experiences and problems. Are you curious, open for change and self-driven they would like to see an application from you.
**You and your skills:**
Volvo Cars believes you have more than 2-10 years of experience on cloud infrastructure implementing monitoring such as log management, metrics and traces. This with understanding of technical architecture, development, design, and implementation of projects on various domains. You probably have following education
- BSc degree or higher in Computer science engineering or equivalent.
**Key Responsibilities:**
* Design and Implement Observability Solutions: Build and maintain observability tools (monitoring, logging, tracing) to ensure the health and performance of microservices running on AWS.
* Monitoring & Logging: Set up and optimize monitoring using tools like Prometheus, Grafana, CloudWatch, OTEL and Splunk stacks for real-time insights into the AWS infrastructure.
* Distributed Tracing: Implement distributed tracing solutions (e.g., OpenTelemetry, Jaeger) to trace and debug service interactions across multiple microservices.
* Proactive Alerting: Establish alerting mechanisms to detect performance anomalies and potential failures in real-time.
* Dashboards & Reporting: Create dashboards and reports to monitor service-level objectives (SLOs), key performance indicators (KPIs), and overall system health.
* Incident Management: Investigate and troubleshoot issues, identifying root causes, and providing insights to reduce mean time to detection (MTTD) and mean time to resolution (MTTR).
* Collaboration with Teams: Collaborate with DevOps and development teams to ensure observability best practices are embedded into CI/CD pipelines and infrastructure as code (IaC) practices.
* Automation & Optimization: Automate manual monitoring and incident management processes to reduce operational overhead.
**Tool chain used:**
* Frameworks: Docker, Kubernetes
* Infrastructure: AWS
* Development & GitOps tools: Gitlab, ArgoCD, Harbor, Sonarqube, Dependency Tracker, GIT
* Observability support tools: OTEL, Splunk, Pagerduty, Apica, Grafana, Slack, Confluence, Jira
* SW Languages: Python, Java, JavaScript, Typescript, Terraform, Ansible
_Please note! We offer continuously. That means that we sometimes remove the assignments before deadline. If you are interested we recommend that you apply immediately._
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