Houston, TX, USA
35 days ago
Lead Software Engineer - Business Intelligence

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 Regulatory, Controls & Op Risk, (RCORT) Corporate Technology 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 Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience  Hands-on practical experience delivering system design, application development, testing, and operational stability Proficiency in automation and continuous delivery methods Solid experience in development of dashboards, reports in BI tools - Tableau, Qlik Sense and Cognos on on-prem, cloud data lakes (Databricks, Big Data) 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 Expertly executes complex and scalable coding frameworks using appropriate software design frameworks Knowledge and understanding on data ingestion processes  Ability to manage a team In-depth knowledge of the financial services industry and their IT systems

Preferred qualifications, capabilities, and skills

Familiarity with modern front-end technologies Exposure to cloud technologies Knowledge in API / microservices
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