Sr. Observability Engineer

Accenture•Kirkland, WA

4d•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. As an Observability-AIOps Senior Manager you will: Explore the complex IT estates of our clients to understand their Observability-AIOps capabilities and opportunities for growth Employ and orchestrate use of AI tools to accelerate delivery, increase automation, and improve MTTx Tailor, sell, and deliver enterprise Observability-AIOps solutions relevant to client’s needs Amplify Observability-AIOps outcomes by accelerating adoption across technology and business organizations Lead focused team of architects and engineers while partnering with client architects, directors, and C-suite executives to deliver in alignment with business objectives Provide thought leadership and technical expertise in designing and implementing enterprise-grade observability solutions Act as a trusted advisor to clients, guiding them through complex technical challenges and delivering right-sized Observability solutions Develop and present high-level Observability-AIOps roadmaps, strategies, and solutions to stakeholders, including executive leadership 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 7 years working with Observability tools including but not limited to: Dynatrace, Splunk, AppDynamics, DataDog, Grafana, Prometheus, etc.
Hands-on experience collecting performance data, analyzing, troubleshooting, and tuning
Experience deploying observability solutions in cloud-native environments, including Kubernetes, OpenShift, or Docker Enterprise
Dynatrace Associate certification
Minimum 4 years experience in a lead engineer/architect role
Bachelor's Degree or equivalent work experience of 12 years minimum. If Associate Degree, must have minimum 6 years work experience.
Strong leadership, verbal and written communication, and interpersonal skills, with the ability to distill, inspire, guide, and influence stakeholders at all levels.

Nice To Haves

Previous Consulting experience
Experience implementing and customizing Observability platforms such as Splunk, AppDynamics, New Relic, Grafana, Datadog, or similar
Experience integrating Observability tools with ServiceNOW or other ITOM/ITSM
Experience in measuring and optimizing system reliability metrics, including MTTD, MTTI, SLO, SLI
Experience delivering software designed for high concurrency, scalability, or availability
Built tooling to improve reliability of systems, automated remediation of issues, or improve scalability.
You have automation experience using Ansible, Terraform, Chef, or similar tools, with a focus on driving team adoption and integration.
You have experience integrating observability tools with CI/CD pipelines and guiding teams through the implementation process.
You have experience with Containers and/or Serverless architectures and have led teams in deploying these solutions.
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
Employ and orchestrate use of AI tools to accelerate delivery, increase automation, and improve MTTx
Tailor, sell, and deliver enterprise Observability-AIOps solutions relevant to client’s needs
Amplify Observability-AIOps outcomes by accelerating adoption across technology and business organizations
Lead focused team of architects and engineers while partnering with client architects, directors, and C-suite executives to deliver in alignment with business objectives
Provide thought leadership and technical expertise in designing and implementing enterprise-grade observability solutions
Act as a trusted advisor to clients, guiding them through complex technical challenges and delivering right-sized Observability solutions
Develop and present high-level Observability-AIOps roadmaps, strategies, and solutions to stakeholders, including executive leadership