We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

• As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector
• Data Visualization & BI team, 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 secure 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
• Be collaborative, team-oriented professional.
• Motivates and proactive in identifying and solving problems.
• Strive to learn new technologies and stay updated with industry trends.
• Thrive in a fast-paced, dynamic environment.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• 3+ years of hands-on experience with AWS cloud services.
• Proficiency in Python programming.
• Experience with Django or any web backend framework.
• Experience with React or any modern UI framework.
• Strong experience with Terraform and infrastructure as code principles.
• Solid understanding of system design, data structures, and algorithms.
• Excellent problem-solving skills and a creative, solution-oriented mindset.
• Strong communication skills and ability to work effectively in a team environment.
  Preferred qualifications, capabilities, and skills- Experience with AI concepts such as Retrieval-Augmented Generation (RAG) and AI Agents.
• Exposure to Data Engineering tools and platforms, especially Databricks.
• Familiarity with CI/CD pipelines and DevOps practices.
• Knowledge of other cloud platforms (Azure, GCP) is a plus.