Lead Infrastructure Engineer

JPMorgan Chase & Co.

Bengaluru

Sur place

INR 2 500 000 - 4 200 000

Plein temps

Il y a 3 jours
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Résumé du poste

JPMorgan Chase & Co. in Bengaluru seeks a Lead Infrastructure Engineer to join the Infrastructure Platforms team. You will design and scale the ULH network, collaborate with the network infrastructure team, and drive infrastructure excellence across cloud environments.

The role emphasizes problem solving, cross-functional collaboration, and the use of AI-assisted practices to improve delivery, resiliency, and security in production networks.

Qualifications

  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience.
  • Working knowledge of fiber-optic transmission principles and optical transport fundamentals.
  • Strong hands-on troubleshooting across optical Layer 1 and IP Layer 3.
  • Deep understanding of fiber characteristics, optics/modules, DWDM/OTN, wavelength planning/assignment, and optical amplification.
  • Proficient with standard optical test/turn-up methods and tools (e.g., OTDR, BERT).
  • CCNA (or equivalent) with knowledge of routing/switching fundamentals.
  • Familiarity with network security fundamentals relevant to operating production networks.
  • Deep knowledge of infrastructure engineering areas such as hardware, networking terminology, databases, storage engineering, deployment practices, integration, automation, scaling, resilience or performance assessments.
  • Experience using enterprise-authorized AI capabilities within the work environment to support infrastructure engineering workflows with validation habits and awareness of data sensitivity.

Responsabilités

  • Applies technical expertise to projects of moderate scope and creates solutions for design, development, and troubleshooting of moderate complexity.
  • Assume a vital position as a key member of a team delivering infrastructure and performance excellence.
  • Drives a workstream or project with infrastructure engineering technologies and coordinates changes to resolve issues and modernize processes.
  • Advises on upstream/downstream data and systems implications and mitigation actions.
  • Applies reuse-first, AI-assisted practices within delivery and automation to identify recurring issues and ensure changes are traceable, auditable, and secure.
  • Uses enterprise AI capabilities to accelerate infrastructure analysis and design documentation while handling sensitive operational data.
  • Deep knowledge of cloud infrastructure and the ability to operate across public and private clouds.

Connaissances

Infrastructure engineering
Cloud computing
Networking basics
Troubleshooting
Security fundamentals
AI-assisted delivery
Automation scripting

Formation

CCNA certification
Fiber optics knowledge

Outils

OTDR
BERT

Description du poste

Job Description:

Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence. Your role will be instrumental in shaping the future at one of the worlds largest and most influential companies. As a Lead Infrastructure Engineer at JPMorgan Chase within the Infrastructure Platforms team, you will collaborate with the network infrastructure team to design and scale the ULH network, solve complex problems, and grow your career in a supportive, innovative environment. -135 characters including spaces

Job responsibilities
  • Applies technical expertise and problem-solving methodologies to projects of moderate scope and executes creative solutions for design, development, and technical troubleshooting for problems of moderate complexity
  • Assume a vital position as a key member of a high-performing team that delivers infrastructure and performance excellence
  • Drives a workstream or project consisting of one or more infrastructure engineering technologies and works with other platforms to architect and implement changes required to resolve issues and modernize the organization and technology processes
  • Strongly considers upstream and downstream data and systems or technical implications and advises on mitigation actions
  • Applies reuse-first, AI-assisted practices within delivery and automation routines to identify recurring issues and validate remediation options, ensuring changes are traceable/auditable and aligned to resiliency and security expectations.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and design documentation, validating outputs and handling operational data according to sensitivity and security requirements.
  • Deep knowledge of cloud infrastructure and multiple cloud technologies with the ability to operate in and migrate across public and private clouds
Required qualifications, capabilities, and skills
  • Formal training or certification on infrastructure engineering concepts and 5+ years applied experience
  • Working knowledge offiber-optic transmission principlesand optical transport fundamentals.
  • Strong hands-on troubleshooting acrossoptical Layer 1andIP Layer 3(as applicable).
  • Deep understanding offiber characteristics, optics/modules,DWDM/OTN, wavelength planning/assignment, and optical amplification.
  • Proficient with standard optical test/turn-up methods and tools (e.g.,OTDR, BERT).
  • CCNA(or equivalent) with good knowledge of routing/switching fundamentals.
  • Familiarity withnetwork security fundamentalsrelevant to operating production networks
  • 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
  • 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.
  1. Deep knowledge of one specific infrastructure technology and scripting languages
Preferred qualifications, capabilities, and skills
  • Ability to multitask and swiftly transition between different types of issues.
  • Passion for learning new technologies and driving innovative solutions.
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