Infrastructure Engineer Iii- Production Support With Monitoring

JPMorgan Chase JPMorgan Chase · Banking · Hyderabad, Telangana, India · Corporate Sector

This role focuses on maintaining and managing large-scale infrastructure (servers, network, databases) for API Gateway Platforms, with an emphasis on end-to-end monitoring, converting operational problems into software solutions, and ensuring capacity planning. The role involves using enterprise-authorized AI capabilities to accelerate monitoring and capacity analysis, and applying AI-assisted approaches for remediation workflows. It requires strong knowledge of infrastructure disciplines, SRE, scripting, and cloud technologies, with a focus on observability, SLAs, and SLOs.

What you'd actually do

  1. Maintaining and managing a large scale infrastructure of servers, network and databases hosting the API Gateway Platforms
  2. 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
  3. Finding opportunity for converting operational problems into a software solution
  4. 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.
  5. 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.

Skills

Required

  • Formal training or certification on software 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.

Nice to have

  • Familiarity with modern front-end technologies
  • Exposure to cloud technologies

What the JD emphasized

  • enterprise-authorized AI capabilities
  • AI-assisted approaches
  • validate AI-assisted recommendations