- 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
- Bachelor’s Degree in Computer Science, Cybersecurity, Data Science, or related disciplines
- Formal training or certifications in Infrastructure Engineering concept and 3+ years applied experience.
- Deep knowledge of one or more areas of infrastructure engineering such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience, or performance assessments
- Deep knowledge of one specific infrastructure technology and scripting languages (e.g., Scripting, Python, etc.)
- Drives to continue to develop technical and cross-functional knowledge outside of the product
- Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private cloud
- Good understanding of development tools: source code control software, automated build, automated testing and JIRA.
- Understanding of infrastructure as a code concept.
- Experience with build automation, test driven development, continuous integration and delivery
- Experience with Relational and non Relational Databases
Preferred qualifications, capabilities, and skills