Software Engineer III – Cloud Platform Engineering - Python / AWS

Testing Site - JPMC; New York (NY); Sur place; USD 140 000 - 180 000; Plein temps

Résumé du poste

JPMorgan Chase seeks an experienced Software Engineer to join the Payments, Proprietary Wallets, and Lending Innovation organization. You will architect, design, and deliver scalable, secure technology solutions across multiple domains, supporting strategic business objectives.

You will lead platform design, implement reliable production code, and produce comprehensive architecture documentation while driving data analysis and visualization efforts to improve system performance.

Qualifications

• Formal training or certification in software engineering concepts with hands-on experience in large-scale environments.
• Advanced proficiency in Python and/or Java for developing, debugging, and maintaining code.
• Experience with SQL and NoSQL databases, data lakes, and AWS S3 for scalable storage architectures.
• Proven track record deploying applications on AWS services like EMR, EKS/ECS, EC2, Event Bus, and S3.
• Familiarity with enterprise logging and monitoring platforms (e.g., Splunk, Elastic Search, Dynatrace, Grafana).
• Strong CI/CD experience using Jenkins and Spinnaker to automate delivery pipelines.
• Knowledge of the full software development lifecycle, agile practices, resiliency, and security best practices.
• Domain knowledge across cloud, AI/ML, and mobile technologies.

Responsabilités

• Platform Solution Design & Development: Lead the creation of scalable platform solutions and address complex infrastructure challenges.
• Secure Coding & Platform Reliability: Develop and maintain secure production code and automation scripts for reliable deployments.
• Platform Architecture & Design Documentation: Produce architecture and design docs ensuring best practices across the SDLC.
• Data Analysis & Visualization: Analyze large data sets to create actionable visualizations and reports.
• Problem Identification & System Improvement: Identify hidden issues to improve coding standards and architecture.
• Community Engagement & Technology Exploration: Participate in internal engineering communities and explore emerging tech.
• Team Culture & Leadership: Mentor junior engineers and foster an inclusive, collaborative team culture.

Connaissances

Python

Java

Data Analysis

Cloud Computing

Formation

Bachelor's degree in Computer Science or related field

Outils

AWS

Splunk

Jenkins

Spinnaker

Docker

Kubernetes

Description du poste

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Software Engineer at JPMorgan Chase within the Payments, Proprietary Wallets, and Lending Innovation organization, you will architect, design, and deliver robust, market-leading technology solutions that are secure, stable, and scalable. You will play a pivotal role in driving critical technology initiatives across multiple domains, supporting the firm’s strategic business objectives. Your expertise will be instrumental in elevating our engineering standards and fostering innovation within the organization.

Key Responsibilities

• Platform Solution Design & Development:
  Lead the design, development, and implementation of scalable platform solutions, leveraging advanced troubleshooting skills and innovative approaches to address complex infrastructure and integration challenges.
• Secure Coding & Platform Reliability:
  Develop and maintain high-quality, secure production code and automation scripts, ensuring seamless integration and reliability across enterprise platforms and infrastructure.
• Platform Architecture & Design Documentation:
  Produce comprehensive architecture and design documentation for complex applications, ensuring all design constraints and best practices are adhered to throughout the software development lifecycle.
• Data Analysis & Visualization:
  Gather, analyze, and synthesize large, diverse data sets to develop actionable visualizations and reporting, driving continuous improvement of software applications and system performance.
• Problem Identification & System Improvement:
  Proactively uncover hidden issues and patterns within data, leveraging insights to enhance coding standards, system architecture, and overall application resiliency.
• Community Engagement & Technology Exploration:
  Contribute to internal software engineering communities of practice, actively participating in events and initiatives that explore emerging technologies and industry trends.
• Team Culture & Leadership:
  Champion a team culture rooted in diversity, inclusion, respect, and opportunity, mentoring junior engineers and fostering a collaborative environment.

Required Qualifications, Capabilities, and Skills

• Education & Experience:
  Formal training or certification in software engineering concepts, with a minimum of 7 years of hands-on experience in system design, application development, testing, and operational stability within large-scale corporate environments.
• Programming Proficiency:
  Advanced proficiency in Python and/or Java, with demonstrated expertise in developing, debugging, and maintaining code using modern programming and database querying languages.
• Data Storage Solutions:
  Extensive experience with SQL and NoSQL databases, data lakes, and AWS S3, including the design and implementation of scalable data storage architectures.
• Cloud Services Expertise:
  Proven track record in deploying and managing applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
• Monitoring & Logging Tools:
  Deep familiarity with enterprise logging and monitoring platforms, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.
• CI/CD & Automation:
  Strong experience with Continuous Integration and Continuous Deployment processes, utilizing tools such as Jenkins and Spinnaker to automate and streamline software delivery pipelines.
• Software Development Lifecycle:
  Comprehensive understanding of the full software development lifecycle, agile methodologies, application resiliency, and security best practices.
• Technical Domain Knowledge:
  Demonstrated expertise in software applications and technical processes within disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies.