JPMorgan Infrastructure Engineer III- Capacity Management 

India, Telangana, Hyderabad 

336423777

• 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, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on Capacity Management and 3+ years applied experience".
• Strong knowledge of one or more infrastructure disciplines such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
• Strong knowledge of one or more scripting languages (e.g., Scripting, Python, etc.)
• Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds
• Strong knowledge of infrastructure disciplines such as: hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, and performance assessments
• Results-driven individual who is passionate about quality and positive customer experience.
• Practical experience with managing or governing technology Capacity or other ITIL processes.
• Working knowledge of application’s infrastructure KPI’s (CPU, Memory, etc.) and monitoring tools.
• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge