Why This Role Stands Out
This hybrid role offers a fantastic opportunity to shape the future of observability at a renowned financial institution, empowering you to design and implement cutting-edge solutions for AI applications and cloud services. If you're a mid-senior engineer with expertise in Dynatrace, Java, Python, and Kubernetes, eager to drive innovation and enhance system reliability, this is a chance to significantly advance your career and make a tangible impact. Apply now to join a dynamic team and contribute to critical infrastructure advancements!
Quick Overview
Job Description
Design and implement Dynatrace observability across applications, infrastructure, Kubernetes, databases and cloud services. Develop monitoring for AI applications and build Java- and Python-based automation for onboarding, configuration, alerting, dashboards and CI/CD. Evaluate observability technologies and communicate architecture recommendations to engineering teams and stakeholders.
Responsibilities
- Design and implement Dynatrace observability across applications, infrastructure, Kubernetes, databases and cloud services.
- Develop monitoring for AI applications, models, agents, prompts, dependencies, performance and reliability.
- Implement distributed tracing and end-to-end transaction monitoring to identify bottlenecks and root causes.
- Build Java and Python automation for Dynatrace onboarding, configuration, alerting, dashboards, workflows and CI/CD.
- Evaluate Dynatrace AI features and emerging observability technologies.
- Communicate technical findings, solutions and architecture recommendations to engineering teams and stakeholders.
Required Skills
- Dynatrace
- Java
- Python
- Kubernetes
- Docker
- Distributed tracing
- Application performance monitoring
- CI/CDGit
- Database systems
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