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Job summary

As a Lead Software Engineer at JPMorgan Chase with DATA MANAGEMENT under CTO, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

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
• Develops high-quality and secured production platform for data to Public Cloud and manage and govern in a secure, scalable, frictionless manner with tech stack like AWS, Databricks, Snowflake etc..
• Develop and Deliver a governed, market-leading, multi/hybrid cloud Data Life Cycle Management Platform that makes all our data Findable, Accessible, Interoperable, and Reusable (FAIR) for authorized personas to drive the creation of BI and AI/ML driven products with
  agility and velocity.
• Develops secure and high-quality production code, and reviews and debugs code written by others
• 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

Required qualifications, capabilities, and skills

• Strong AWS knowledge and hands-on experience in Terraform, Python
• Ability to research, architect and drive complex technical solutions, consisting of multiple technologies
• Proficient with python programming language and API patterns such as REST/gRPC
• Formal training or certification on software engineering concepts and 10+ years of applied experience
• Hands-on practical experience delivering system design, application development, testing, and operational stability with proficiency in all aspects of SDLC, automation and continuous delivery methods
• Advanced understanding of agile methodologies such as CI/CD, Applicant Resiliency
• Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

• Knowledge on Databricks/snowflake/Spark will be a plus
• In-depth knowledge of the financial services industry and their IT systems
• Practical cloud native experience