Observability Engineer

Accenture•Kirkland, WA

18h•Hybrid

About The Position

We are Accenture Cloud First, the industry-leading engineering group focused on redefining how companies operate and create value by employing cloud, data, and artificial intelligence for total enterprise reinvention. Accenture Cloud First boasts more than 141,000 technology professionals across the globe. Our Performance and Resiliency Engineering practice is a team specialized in Observability, AIOps, Site Reliability Engineering, high performance systems, and performance diagnostics. As part of our practice you will drive technology innovation with our clients through the delivery of world-class platforms. Our Performance and Resiliency Engineering practice is growing and we’re seeking innovative, technical problem solvers like you to join the team. There will never be a typical day at Accenture and that’s why we love it here! This is an extraordinary opportunity to build an exciting career at Accenture Technology. Working in a fast-paced, outcome-oriented environment where you can help clients modernize operations with leading-edge technologies at massive scale. Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.

Requirements

Minimum of 2 years of working with the Dynatrace Observability platform
Experience deploying observability solutions in cloud-native environments, including Kubernetes, OpenShift, or Docker Enterprise
Hands-on experience collecting performance data, analyzing, troubleshooting, and tuning Dynatrace
Associate certification
Bachelor's Degree or equivalent work experience of 12 years minimum. If Associate Degree, must have minimum 6 years work experience.

Nice To Haves

Previous Consulting experience
Experience with other observability platforms such as Splunk, AppDynamics, New Relic, Grafana, Datadog or similar
You have experience integrating observability tools with ServiceNOW
Experience in calculating system reliability metrics, including MTTD, MTTI, SLO, SLI
Automation experience using Ansible, Terraform, Chef and other
Experience delivering software designed for high concurrency, scalability, or availability
Built tooling to improve reliability of systems, automated remediation of issues, or improve scalability.
Associate certification in any hyperscalar platform such as AWS, GCP, Azure

Responsibilities

Explore the complex IT estates of our clients to understand their Observability-AIOps capabilities and opportunities for growth
Architect and implement enterprise Observability-AIOps platforms and processes
Employ and orchestrate use of AI tools to accelerate delivery, increase automation, and improve MTTx
Amplify observability-AIOps outcomes by accelerating adoption across technology and business organizations