Observability Engineer – Dynatrace Dashboard Specialist

Ascendion; Birmingham; On-site; GBP 60,000 - 80,000; Full time

Job summary

A technology company in Birmingham seeks an experienced Observability Engineer with deep expertise in Dynatrace. The successful candidate will design and enhance advanced dashboards for real-time application and system performance visibility. Responsibilities include collaborating with engineering and platform teams, improving monitoring, and troubleshooting issues using various observability tools. Candidates should have excellent analytical and communication skills and several years of experience in observability principles and technologies.',

Qualifications

• Several years of hands-on experience with Dynatrace, especially building advanced dashboards.
• Strong understanding of observability principles (metrics, logs, traces).
• Experience with Prometheus, Grafana, and Time-series data systems.

Responsibilities

• Build advanced Dynatrace dashboards to deliver clear visibility into system performance.
• Collaborate with teams across cloud (AWS, Azure, GCP) and container platforms (Kubernetes).
• Provide clear reporting and communicate insights to technical and non-technical stakeholders.

Skills

Dynatrace expertise

Observability principles

Prometheus

Grafana

Time-series databases

APM tools

AWS

Azure

GCP

Java

Python

Microservices

HTML

CSS

JavaScript

Analytical skills

Communication skills

Job description

Job Description

We are looking for an experienced Observability Engineer with deep expertise in Dynatrace to design, build, and enhance advanced dashboards that provide real-time visibility into application and system performance. This role will work closely with engineering, SRE, and platform teams to improve monitoring, detect performance issues early, and support reliable service delivery.

Key Responsibilities

• Build advanced Dynatrace dashboards to deliver clear visibility into system performance.
• Apply strong understanding of observability concepts (metrics, logs, traces) to improve monitoring coverage.
• Use tools like Prometheus, Grafana, and Time-series databases to support observability needs.
• Work with APM tools to analyze performance, identify bottlenecks, and optimize application behavior.
• Collaborate with teams across cloud (AWS, Azure, GCP) and container platforms (Kubernetes).
• Leverage knowledge of application technologies such as Java, Python, and microservices to interpret monitoring data.
• Apply understanding of web technologies (HTML, CSS, JavaScript) and networking basics to build effective dashboards and troubleshoot issues.
• Provide clear reporting and communicate insights to technical and non-technical stakeholders.

Required Skills & Experience

• Several years of hands‑on experience with Dynatrace, especially building advanced dashboards.
• Strong understanding of observability principles (metrics, logs, traces).
• Experience with Prometheus, Grafana, and Time‑series data systems.
• Solid knowledge of APM tools, application behavior, and performance troubleshooting.
• Familiarity with AWS, Azure, GCP and containerization (Kubernetes).
• Understanding of Java, Python, microservices, and modern application architectures.
• Good understanding of web technologies and networking fundamentals.
• Excellent analytical, troubleshooting, verbal, and written communication skills.

About Us

Ascendion is a global, leading provider of AI‑first software engineering services, delivering transformative solutions across North America, APAC, and Europe. We are headquartered in New Jersey. We combine technology and talent to deliver tech debt relief, improve engineering productivity solutions, and accelerate time to value, driving our clients’ digital journeys with efficiency and velocity. Guided by our “Engineering to the power of AI” methodology, we integrate AI into software engineering, enterprise operations, and talent orchestration, to address critical challenges of trust, speed, and capital. For more information, please go to www.ascendion.com.