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JPMorgan Lead Software Engineer - Infrastructure Cloud 
India, Karnataka, Bengaluru 
992863321

27.03.2025

Job responsibilities

  • Collaborate with development teams to enhance the developer experience, providing tools and infrastructure that support agile methodologies and continuous integration/continuous deployment.
  • Execute software solutions, design, development, and technical troubleshooting with the ability to think beyond routine or conventional approaches.
  • Create secure and high-quality production code to deploy infrastructure.
  • Develop and maintain automated pipelines for model/product deployment, ensuring scalability, reliability, and efficiency.
  • Produce architecture and design artifacts for complex applications, ensuring design constraints are met by software code development.
  • Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse sets for continuous improvement of software applications and systems.
  • Identify hidden problems and patterns in data, using insights to drive improvements to coding hygiene and system architecture.
  • Contribute to software engineering communities of practice and events that explore new and emerging technologies.
  • Add to team culture of diversity, equity, inclusion, and respect.

Required qualifications, capabilities, and skills

  • Formal training or certification in software engineering concepts and 5+ years of applied experience.
  • Hands-on practical experience in system design, application development, testing, and operational stability.
  • Proficient with Public Cloud services in Production (AWS or other) with proficiency in python scripting language
  • Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages (Python) and database querying language
  • Experience with Infrastructure as Code (Terraform or other).
  • Experience in applied AI/ML engineering, with a track record of deploying business critical GenAI, machine learning models in production.
  • Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, mobile, etc.).
  • Ability to tackle design and functionality problems independently
  • Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Experience in architecting, supporting, and implementing advanced, strategic CICD migrations.
  • Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.

Preferred qualifications, capabilities, and skills

  • Experience with any of GitHub, GitHub Actions, Artifactory, Terraform Cloud, Slack, Grafana, SonarQube is considered a plus.
  • Experience in designing and implementing AI/ML/LLM/GenAI pipelines.
  • Stay informed about the latest trends and advancements in the latest AI/ML/LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.