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Infrastructure Engineer III- Storage… at WallStreetQuan… · Bengaluru
Mid LevelOn-siteFull-timeBengaluru, Karnataka, India
Job Description
Infrastructure Engineer III- Storage & Automation
Location: Bengaluru, Karnataka, India
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.
As an Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Platforms team , you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.
Job responsibilities
As an Infrastructure Engineer III at JPMorgan Chase within the Infrastructure Platforms team , you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Apply your technical knowledge and problem-solving methodologies across multiple applications of moderate scope.
Job responsibilities
- Applies technical knowledge and problem-solving methodologies to projects of moderate scope, with a focus on improving data and systems running at scale, and ensures end to end monitoring of applications
- Apply structured problem-solving to support the design, development, and troubleshooting of moderate-complexity initiatives.
- Provide Storage SRE support across enterprise storage platforms including NetApp CDOT, Dell Isilon, Pure and Vast.
- Apply hands-on experience with NFS, SMB/CIFS, and NAS-based file storage and connectivity; working knowledge of AI Operating System (VAST) is preferred.
- Participate in a 24/7 follow-the-sun support model, primarily covering morning-to-evening hours.
- Own incident and problem tasks end-to-end—driving triage, resolution, root-cause analysis, and corrective actions—while applying operational discipline across Incident, Change, and Problem Management.
- Leverage Linux and Windows knowledge to support integrated storage/compute troubleshooting.
- Execute tasks across workstreams spanning one or more infrastructure technologies, partnering with adjacent platforms to implement modernization and issue-resolution changes.
- Analyze upstream/downstream system and data dependencies and raise mitigation actions to preserve resiliency and performance.
- Uses enterprise-authorized AI capabilities within the work environment to accelerate monitoring and capacity analysis and documentation, validating outputs and handling operational data according to sensitivity and security requirements.
- Applies reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows, ensuring changes are validated and aligned to resiliency and security expectations.
Required qualifications, capabilities, and skills
- Formal training or certification on infrastructure engineering concepts and 3+ years applied experience
- Hands-on experience in one or more of: Storage SRE, storage engineering, integration, automation, scaling, resilience, or performance assessment
- Working knowledge of enterprise storage products (mandatory for this role)
- Working knowledge of one non-storage infrastructure technology and at least one scripting language
- Experience using enterprise-authorized AI capabilities to support infrastructure workflows, with strong validation habits and awareness of data sensitivity
- Ability to review and validate AI-assisted recommendations before implementation—escalating when uncertain and ensuring outcomes meet resiliency, security, and auditability expectations
- Ability to work through design and infrastructure problems with limited oversight
Strong written and verbal communication, with the ability to collaborate across engineering and cross-functional teams - 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
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)
Preferred qualifications, capabilities, and skills
- Experience in large-scale, highly regulated financial services or enterprise technology environments
- Familiarity with infrastructure-as-code tools and modern DevOps or SRE practices
- Exposure to performance engineering, capacity planning, or infrastructure observability and monitoring tooling
Ability to contribute to cross-functional alignment across engineering and platform teams
Prior experience contributing to enterprise-wide infrastructure platforms supporting a global organization