Infrastructure Engineer III

Job responsibilities

• Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
• Resolves most nuances and determines appropriate escalation path
• Executes conventional approaches to build or break down technical problems
• Drives the daily activities supporting the standard capacity process applications
• Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
• Considers upstream/downstream data and systems or technical implications
• Be accountable for making significant decisions for a project consisting of multiple technologies and applications
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on infrastructure disciplines concepts and 3+ years applied experience
• Proficient knowledge and strong experience of one or more infrastructure disciplines such as Distributed Computing (Linux/Windows), Storage (Block/File/Object), Networking terminology
• Strong knowledge of deployment practices, integration, automation, scaling, resilience, and performance assessments
• Experience of scripting & automation languages Python / Powershell / Ansibile / Terraform
• Experience on observability tools - Grafana, Dynatrace, Prometheus, Datadog, Splunk.
• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge

Job responsibilities

• Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving the data and systems running at scale, and ensures end to end monitoring of applications
• Resolves most nuances and determines appropriate escalation path
• Executes conventional approaches to build or break down technical problems
• Drives the daily activities supporting the standard capacity process applications
• Partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
• Considers upstream/downstream data and systems or technical implications
• Be accountable for making significant decisions for a project consisting of multiple technologies and applications
• Adds to team culture of diversity, opportunity, inclusion, and respect

• Formal training or certification on infrastructure disciplines concepts and 3+ years applied experience
• Proficient knowledge and strong experience of one or more infrastructure disciplines such as Distributed Computing (Linux/Windows), Storage (Block/File/Object), Networking terminology
• Strong knowledge of deployment practices, integration, automation, scaling, resilience, and performance assessments
• Experience of scripting & automation languages Python / Powershell / Ansibile / Terraform
• Experience on observability tools - Grafana, Dynatrace, Prometheus, Datadog, Splunk.
• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge