Observability Engineer at Universal Music GmbH

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Observability, Site Reliability Engineering, DevOps, Monitoring, Logging, Tracing, Cloud Platforms, Automation, Python, Go, Docker, Kubernetes, CI/CD, Problem-Solving, Communication, Security Awareness

Industry

Entertainment Providers

Description

Job Summary We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world. We are seeking a talented and proactive Observability Engineer to join our dynamic global team. You will be passionate about data driven decisions, automation, and committed to continuous improvement. In this pivotal role, you will be instrumental in building, maintaining, and enhancing the comprehensive observability solutions that ensure the reliability, performance, and scalability of our critical IT systems and applications across the globe. You'll work at the intersection of technology and the vibrant world of music, providing deep insights that drive operational excellence and enable rapid response to any challenge. Job Functions Design & Implementation: Working with the team to ensure our observability stack provides world-class services through the design, implementation, and continuous improvement of our environment, encompassing monitoring, logging, tracing, and alerting systems across diverse cloud-native, on-premise, and hybrid environments. Innovate with Tooling: Evaluate, select, and implement leading observability tools and platforms (e.g., Dynatrace, AWS Cloudwatch, Prometheus, Grafana, ELK Stack, Splunk, OpenTelemetry), and automate our observability pipelines and alerting mechanisms working with development teams to ensure Champion Best Practices: Help define, enforce, and advocate for observability standards and best practices across all engineering and operations teams, ensuring consistent instrumentation and visibility throughout our global organization. Develop Robust Monitoring: Create and maintain powerful monitoring solutions, intuitive dashboards, and automated alerts to provide real-time insights into system health, performance, and availability. Drive Incident Resolution: Work with the Operations teams to utilizing telemetry data for swift diagnosis and resolution, and conducting post-incident reviews to enhance our systems. Collaborate & Empower: Partner across other teams in the wider UMG global Technology team to drive positive change, influencing and driving best practice within the Observability space for their ultimate benefit. Working closely with development, SRE, and infrastructure teams to embed observability throughout the entire technology lifecycle, empowering teams with the insights they need. Optimize Performance: Analyze telemetry data to identify and resolve performance bottlenecks, optimize resource allocation, and fine-tune configurations for peak efficiency. Support Compliance & Security: Contribute to our compliance and security efforts through effective log management and integration with SIEM systems. Other Essential Components Work independently to deliver results while acting as part of a global team to design and implement robust solutions across a hybrid, complex ecosystem of systems. Undertake system analysis based on Observability notifications to troubleshoot complex issues to improve value from UMG’s technology investments, working with a mindset of continual improvement. Take an active part in documenting and defining processes and best practice. Make UMG the place to be: Actively taking part in making the Observability team a positive and respectful place to be. UMG is a place where everyone can bring themselves fully to work and thrive, as a key part of the Technology department you are an important part of building our culture. Job Requirements Experience: 3+ years of hands-on experience in an Observability, Site Reliability Engineering (SRE), or DevOps role, with a dedicated focus on observability. Technical Expertise: Strong understanding and practical experience with monitoring, logging, and tracing systems. Proficiency with industry-standard observability tools (e.g., Dynatrace, AWS Cloudwatch, Prometheus, Grafana, ELK Stack, Splunk, Logic Monitor). Strong technical knowledge with major cloud platforms (AWS, Azure, or GCP). Solid programming and scripting skills (e.g., Python, Go, Shell, JavaScript) for automation. Understanding of distributed systems, microservices architectures, and cloud-native environments. Experience with Docker/Kubernetes and DevOps principles Familiarity with CI/CD pipelines and automation tools (e.g., Ansible, Terraform). Problem-Solving: Exceptional analytical and problem-solving abilities, with a proactive approach to tackling complex technical challenges. Communication: Excellent communication, collaboration, and interpersonal skills, with the ability to clearly articulate technical concepts to diverse audiences. Domain Knowledge: Prior experience supporting critical business applications within a large-scale, global enterprise environment. Security Awareness: Awareness of security best practices and the ability to integrate security monitoring into observability processes. Self-motivated with high degree of initiative and excellent follow-up skills, along with strong analytical and problem-solving skills Education: Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Travel may be required but is not part of the regular work schedule. Desired Qualifications Advanced Concepts: Experience with Chaos Engineering, Canary/BlueGreen deployment strategies, capacity planning, data analysis, networking. Software Engineering: Experience in designing and automating Observability workloads with a foundation in software engineering, database administration and system administration. Scripting and programming for Observability as well as troubleshooting across Python, Go, Java and associated languages. Certifications: Relevant industry certifications (e.g., AWS Certified DevOps Engineer, Kubernetes certifications). Diversity & Inclusion At Universal Music we are committed to fostering diversity and inclusivity as an equal opportunity employer. We encourage applicants from all backgrounds to apply for our roles regardless of their gender, race, ethnicity, nationality, age, sexual orientation, gender identity, intersex status, marital or family status, neurodiversity, religion or belief, disabilities, or socio-economic background. We also encourage people from all cultural backgrounds to apply, including First Nations people. It is through our diversity and inclusivity that we bring together different perspectives, enhancing our creative and evolving workplace. Music is Universal. Disclaimer The company presents this job description as a guide to the major areas and duties for which the jobholder is accountable. However, the business operates in an environment that demands change and the jobholder's specific responsibilities and activities will vary and develop. Therefore, the job description should be seen as indicative and not as a permanent, definitive and exhaustive statement. Job Category: Technology We are Universal Music Group, the world’s leading music company. We are the home for music’s greatest artists, innovators and entrepreneurs.

Responsibilities

The Observability Engineer will design, implement, and enhance observability solutions to ensure the reliability and performance of IT systems. This role involves collaborating with various teams to drive operational excellence and optimize performance through data analysis.