Accenture
Observability - AIOps Engineer Senior Engineer
Accenture, Overland Park, Kansas, United States, 66213
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 of specialists in Site Reliability Engineering, high performance systems, performance diagnostics, observability, and AIOps. 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 Engineer you will:
Explore the complex IT estates of our clients to understand their observability-AIOps opportunities
Collaborate to architect unified observability and AIOps strategies which employ leading AI technology
Implement enterprise observability-AIOps technology and processes
Amplify observability-AIOps outcomes by accelerating adoption across technology and business organizations
Lead small team of engineers
Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.
Here’s What You Need:
Minimum 5+ years working knowledge and hands-on experience working with monitoring or observability tools including, but not limited to: Dynatrace, Splunk, AppDynamics, DataDog, Grafana, Prometheus, etc.
Hands-on experience collecting performance data, analyzing, troubleshooting, and tuning
Minimum 2+ years' experience in a lead engineer role.
Bachelor's Degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience).
Bonus points if you have (Preferred Qualifications):
Previous Consulting experience
Experience integrating observability tools with ServiceNow
Experience in calculating 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.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Role Location Annual Salary Range:
California $93,400 to $224,600
Colorado $93,400 to $194,100
District of Columbia $99,500 to $206,700
New York $86,500 to $224,600
Maryland $86,500 to $179,700
Washington $99,500 to $206,700
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Our Performance and Resiliency Engineering practice is a team of specialists in Site Reliability Engineering, high performance systems, performance diagnostics, observability, and AIOps. 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 Engineer you will:
Explore the complex IT estates of our clients to understand their observability-AIOps opportunities
Collaborate to architect unified observability and AIOps strategies which employ leading AI technology
Implement enterprise observability-AIOps technology and processes
Amplify observability-AIOps outcomes by accelerating adoption across technology and business organizations
Lead small team of engineers
Travel may be required for this role. The amount of travel will vary from 25% to 100% depending on business need and client requirements.
Here’s What You Need:
Minimum 5+ years working knowledge and hands-on experience working with monitoring or observability tools including, but not limited to: Dynatrace, Splunk, AppDynamics, DataDog, Grafana, Prometheus, etc.
Hands-on experience collecting performance data, analyzing, troubleshooting, and tuning
Minimum 2+ years' experience in a lead engineer role.
Bachelor's Degree or equivalent (minimum 12 years) work experience. (If Associate Degree, must have minimum 6 years work experience).
Bonus points if you have (Preferred Qualifications):
Previous Consulting experience
Experience integrating observability tools with ServiceNow
Experience in calculating 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.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience.
Role Location Annual Salary Range:
California $93,400 to $224,600
Colorado $93,400 to $194,100
District of Columbia $99,500 to $206,700
New York $86,500 to $224,600
Maryland $86,500 to $179,700
Washington $99,500 to $206,700
#J-18808-Ljbffr