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Infrastructure Engineer II– AWS, Terraform, Python

  • Source: Oracle
  • JPMC Candidate Experience page
  • On-site
  • Hyderabad
  • Full-Time
  • Mid level

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.

As an Infrastructure Engineer II at JPMorgan Chase within the Infrastructure Platforms team, you develop knowledge of software, applications, and technical processes within the infrastructure engineering discipline. Through this work you begin to apply your proficiency in a single application or technical methodology.

Job responsibilities

  • Build and support Environment-as-Code solutions and core engineering workstreams using AWS (EC2, EKS, CloudFront), Terraform, OpenSearch, EMR, and Python.
  • Drive new initiatives for cloud migration and platform modernization leveraging AWS, Terraform, and Python.
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate infrastructure analysis and documentation (e.g., summarizing monitoring findings), validating outputs and handling data according to sensitivity and security requirements.
  • Provision and operate EKS and ECS clusters, and implement observability with Datadog, Dynatrace, and Gremlin.
  • Troubleshoot technical issues by decomposing problems and resolving cases of basic complexity.
  • Maintain an up-to-date inventory of environments and assist development teams in debugging environment-specific issues.
  • Deliver BAU UNIX support, remediate risk breaks, and enforce audit compliance across global operations.
  • Manage and distribute workloads across APAC and NA to ensure continuous coverage and operational efficiency.
  • Collaborate with cross-functional partners to proactively meet new opportunities and project demands.
  • Uphold high standards for service delivery, regulatory compliance, and customer satisfaction.
  • Contribute to sustained excellence in support, engineering, and feature onboarding activities.
  • Document configurations, runbooks, and operational procedures to improve supportability and knowledge sharing.

Required qualifications, capabilities, and skills

  • Formal training or certification on infrastructure disciplines concepts and 2+ years applied experience
  • Hands on experience years of experience in platform engineering, cloud infrastructure, or UNIX support.
  • Working knowledge of 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 use, escalating when uncertain and following security and data handling expectations.
  • Build and support web environments on AWS, including EC2, ELB, RDS, Lambda, and S3.
  • Automate infrastructure tasks using Python or another scripting language.
  • Demonstrate understanding of compliance, risk management, and audit processes.
  • Support global operations and coordinate across distributed teams.
  • Communicate effectively and collaborate across engineering and business stakeholders.
  • Solve problems methodically and drive issues to resolution.
  • Adapt quickly in a fast-paced, evolving environment and reprioritize as needed.
  • Document designs, standards, and procedures to ensure operational consistency.

Preferred qualifications, capabilities, and skills

  • Leverage experience with Terraform, OpenSearch, EMR, and Flink in production environments.
  • Enhance observability and resilience using Datadog, Dynatrace, and Gremlin.
  • Hold an active AWS certification.

    Optimize Kubernetes/EKS and ECS cluster operations for performance, reliability, and cost.

  • Coordinate follow-the-sun support models across APAC and NA regions.

Skills

  • amazon-web-services
  • Terraform
  • Python
  • amazon-ec2
  • amazon-eks
  • amazon-cloudfront
  • opensearch
  • amazon-emr
  • amazon-ecs
  • datadog
  • dynatrace
  • amazon-rds-for-mysql
  • aws-lambda
  • amazon-s3
  • Kubernetes
  • oracle-recruiting-cloud
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