JPMorganChase
Lead Software Engineer - Cloud Platform Engineering- Python / AWS
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Lead the design and implementation of scalable cloud platform solutions using Python and AWS. Oversee coding standards, architecture, and team culture while mentoring junior engineers.
Job Description
Position Overview
As a Lead SOftware Engineer at JPMorgan Chase within our agile engineering team, 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
Required Qualifications, Capabilities, and Skills
JPMorgan Chase is committed to fostering an inclusive and innovative environment. We welcome experienced professionals who are passionate about technology and eager to drive impactful change.
Position Overview
As a Lead SOftware Engineer at JPMorgan Chase within our agile engineering team, 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.
JPMorgan Chase is committed to fostering an inclusive and innovative environment. We welcome experienced professionals who are passionate about technology and eager to drive impactful change.
Top Skills
Appdynamics
AWS
Cloudwatch
Datadog
Dynatrace
Ec2
Ecs
Eks
Elastic Search
Emr
Grafana
Java
Jenkins
NoSQL
Python
S3
Spinnaker
Splunk
SQL
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