at J.P. Morgan
Bulge Bracket Investment BanksPosted a month ago
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**Infrastructure Engineer III - Amazon Connect, AWS:** As a seasoned professional, you'll drive infrastructure projects at a leading financial institution. Utilize your extensive AWS and cloud expertise (AWS, Terraform, Jenkins, Git) to manage and scale data-heavy systems. Leverage AI capabilities for capacity analysis and implement robust security measures (IAM, KMS). Collaborate cross-functionally, validate AI outputs, and ensure resiliency. Requires 3+ years of experience and relevant certifications.
- Compensation
- Not specified
- City
- Bengaluru
- Country
- India
Currency: Not specified
Full Job Description
Location: Bengaluru, Karnataka, India
As an Infrastructure Engineer III at JPMorganChase within the Employee Platforms Team, you utilize strong knowledge of software, applications, and technical processes within the infrastructure engineering discipline.
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
- 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.
- Resolves most nuances and determines appropriate escalation path
- Executes conventional approaches to build or break down technical problems while considering upstream and downstream data and systems or technical implications
- Drives the daily activities supporting the standard capacity process applications and partners with application and infrastructure teams to identify potential capacity risks and govern remediation statuses
- Accountable for making significant decisions for a project consisting of multiple technologies and applications
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.
- Formal training or certification on infrastructure 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
- 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.
- Hands on Experience in Cloud Contact Center Engineering space and Amazon Connect and Ecosystem services such as IAM, Lex, Lambda, KMS (Data Security), S3, Kinesis etc.
- Well versed with Infrastructure as a Code with Terraform
- Able to design and implement applications on public cloud (AWS)
- Hands-on Experience with CI/CD tools like Jenkins/Jules, Version Control tools (Git/Bitbucket)
- Ability to review and validate AI-assisted recommendations before implementation, escalating when uncertain and ensuring outcomes align to resiliency, security, and auditability expectations.
- Strong knowledge of one or more scripting languages
Experience with multiple cloud technologies (ability to operate in and migrate across public and private clouds)
- Knowledge of voice (WebRTC), call recording and telephony platforms a big plus
- Knowledge on Container Orchestration and deployment in AWS Cloud etc.
- AWS certification is a big plus
