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Infrastructure Engineering

Infrastructure Engineering

JP Morgan Chase & Co.
Fresher
  • Posted 3 hours ago
  • Be among the first 10 applicants

Job Description

With your expertise in delivering infrastructure solutions, you are a top-performer in your field. Come on board as a highly appreciated member of a winning team.

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

    Required qualifications, capabilities, and skills

  • Formal training or certification on infrastructure engineering concepts and 2+ years applied experience
  • Hands-on experience in DevOps, with a strong focus on Jenkins, Kubernetes, and SDLC pipelines
  • Proven experience deploying to hybrid cloud infrastructure with both on-prem and off-prem capabilities
  • Working knowledge of Linux systems (preferably RHEL), including strong command-line skills for day-to-day engineering and troubleshooting
  • Working with production support teams to facilitate deployment readiness and resiliency plans, along with MTTR improvement capabilities
  • Proficient in Git branch management and infrastructure security. Knowledge of setting up and managing Kafka and Elasticsearch, including their resiliency
  • Experience with planning, design, and deployment of Kafka messaging applications and troubleshooting issues
  • Experience with Helm for Kubernetes package management, Experience with Terraform
  • Ability to utilize multiple observability and monitoring tools (Datadog, Dynatrace, Geneos, Grafana, OpenTelemetry) to discern and discover root cause issues related to application and/or infrastructure code
  • Working knowledge of querying and monitoring relational/NoSQL databases (SQL Server, Oracle, MongoDB) †provisioning is handled via self-service tooling, so deep build-out expertise is not required
  • 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
  • Proficient in Python and/or PowerShell
  • Strong communication and collaboration skills
  • Certifications in Kubernetes (CKA or CKAD), AWS (Solutions Architect Associate or SysOps Administrator Associate), and Terraform (HashiCorp Terraform Associate)
  • Experience in financial services or a related industry

Key Skills

SDLC pipelines

AI capabilities

Hybrid cloud infrastructure

OpenTelemetry

Git branch management

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