You belong to the top echelon of talent in your field. At one of the world's most iconic financial institutions, where infrastructure is of paramount importance, you can play a pivotal role.
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
- Being 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 of software engineering concepts 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
- Proficient knowledge in the following key areas: Conferencing technologies, Unified Communications Architecture and Designing (Solutions, performance testing, monitoring, operations), Hardware Benchmarking (program management, network management), Design (compliance, security), Network Engineering (planning, provision)
- Expert Domain Knowledge in video and voice technology such as Zoom, WebEx, SBC.
- Experience in software developments working in large infrastructure environments across multiple data centers with a focus on Java, Spring Framework, and REST APIs
- Hands-on experience on Scripting and programming skills such as python
- Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds
- Experience with virtualization and cloud AWS, Kubernetes, and Docker
- Drives to develop Infrastructure Engineering knowledge of additional domains, data fluency, and automation knowledge
- Any experience with AI/ML will have advantage
- Any experience with data engineering
- Experience with virtualization and cloud AWS, Kubernetes, and Docker
High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.