Infrastructure Engineer III-Production Support with monitoring

J.P. Morgan Chase & Co.

Hyderabad

On-site

INR 1,800,000 - 3,200,000

Full time

3 days ago
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Job summary

JP Morgan Chase seeks an Infrastructure Engineer III to join the Infrastructure Platforms team in Hyderabad. You will be part of an agile team designing and delivering trusted technology products in a secure, scalable manner. You will handle critical infrastructure across servers, networks, and databases for API Gateway platforms.

The role emphasizes experienced SRE/ops, automation, cloud collaboration, and strong validation of AI-assisted recommendations to ensure resiliency and security.

Qualifications

  • Formal training or certification on infrastructure engineering concepts and 3+ years applied experience.
  • Hands on experience on Operations and SRE of Infrastructure.
  • Strong knowledge of infrastructure disciplines (hardware, networking, databases, storage, deployment, integration, automation, scaling, resilience, performance).
  • Thinking observability, SLA and SLO.
  • Strong knowledge of scripting languages (e.g., Python).
  • Experience with multiple cloud technologies and cross-cloud migration ability.
  • Drive to develop infrastructure knowledge and automation.
  • Ability to review and validate AI-assisted recommendations for resiliency and security.

Responsibilities

  • Maintaining and managing a large scale infrastructure of servers, network and databases hosting the API Gateway Platforms.
  • Apply technical knowledge to projects of moderate scope, focusing on data and systems at scale and end-to-end monitoring.
  • Find opportunities to convert operational problems into software solutions.
  • Resolve nuances and determine escalation paths.
  • Execute conventional approaches to build or break down technical problems.
  • Drive daily activities supporting standard infrastructure and capacity processes.
  • Partner with application and infrastructure teams to identify capacity risks and remediation statuses.
  • Consider upstream/downstream data and systems or technical implications.
  • Be accountable for significant decisions for multi-technology projects.
  • Use enterprise AI capabilities to accelerate monitoring and capacity analysis and document outputs.
  • Apply reuse-first, AI-assisted approaches to identify recurring capacity risks and improve remediation workflows.

Skills

Operations and SRE
Infrastructure automation
Cloud technologies
Scripting (Python)
Observability
Capacity planning
Data sensitivity awareness

Education

Infrastructure certification
3+ years infrastructure experience

Tools

Python scripting
Cloud platforms (AWS/Azure/GCP)
Networking basics
Databases
Automation tooling

Job description

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 serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job responsibilities
  • Maintaining and managing a large scale infrastructure of servers, network and databases hosting the API Gateway Platforms
  • 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
  • Finding opportunity for converting operational problems into a software solution
  • 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 infrastructure and the capacity process around it
  • 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
  • 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 on Operations and SRE of Infrastructure
  • 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
  • Thinking Observability, SLA and SLO
  • Strong knowledge of one or more scripting languages (e.g., Scripting, Python, etc.)
  • Experience with multiple cloud technologies with the ability to operate in and migrate across public and private clouds
  • Drives to develop infrastructure engineering knowledge of additional domains, data fluency, and automation knowledge
  • 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.
Preferred qualifications, capabilities, and skills
  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies
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