Infrastructure Engineer III

• 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

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 3+ years applied experience
• Should have experience as IT Infrastructure Project Manager and financial analysis.
• Solid analytical mindset with ability to execute thorough financial analysis and experience working with high-performing teams in complex program execution.
• Support the periodic IT Infra Planning exercise by capturing, pricing, and scheduling new investment, capacity growth, tech refresh, Data Center exit, app retirements.
• Liaise with AD teams, CBTs, Solution Architects, PMs, DBAs, SAs, Finance, Estate Managers etc. to ensure successful project deliveries.
• Organize data into accessible reports, perform various types of analysis using key metrics and communicate status to relevant stakeholders for each project.
• Exhibit the ability to work efficiently under tight deadlines, ensuring timely completion of budget-related tasks and providing real-time updates to key stakeholders.
• Provide forecasting support, identify cost saving opportunities and resolve billing issues.
• 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.)
• Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge