JPMorgan Lead Software Engineer - Enterprise Technology 

United States, Illinois, Chicago 

225947170

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems andto deliver reliable and high-performance services for storing and accessing large amount of data on cloud, e.g., AWS S3, and Databricks platform.
• Develops secure high-quality production code, and reviews and debugs code written by others to build the next generation optimized queries and execution engine that is fast, scalable, secure and robust.
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Deploy, orchestrate and operate hundreds of data pipelines that provides a higher-level abstraction, eliminates operational burdens and simplifies the complexity of real-world data engineering architecture.
• Automate and streamline Cloud infrastructure processes and DevOps tasks while improving self-service capabilities using public cloud platform (AWS) and open source technologies.
• Strategize and build automated deployment pipelines (CI/CD) using Shell/Python scripts or tools like Jenkins, Terraform and Spinnaker
• Configure observability dashboards with automated alerts and monitoring and act quickly on any incidents.
• Promote security best practices and principles to ensure that the infrastructure and data is secured all time and contributes to software engineering communities of practice and events that explore new and emerging technologies.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience in software engineering and development
• Hands-on practical experience delivering system design, application development, testing, and operational stability including deep understanding of data products and the ability to translate requirements technically.
• Advanced in one or more programming language(s) including full-stack capabilities, indicating a strong understanding of back-end services and Java / Python development as well.
• Proficiency in automation and continuous delivery methods
• Proficient in all aspects of the Software Development Life Cycle
• Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Practical cloud native experience
• Strong experience with the legacy ETL toolset used in GSS (Informatica).
• Proficiency in developing REST APIs, microservices, in the distributed environment.
• In-depth knowledge of the financial services industry and their IT systems.

• 10+ years industry experience building and supporting large-scale distributed systems.
• 3+ years of direct experience with Databricks on AWS