Lead Software Engineer - AWS/Spark/Python

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 Consumer & Community Banking - Risk 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


* Work independently to drive projects end to end utilizing the team members.

Adhere to agility practices, create, groom track development stories.


* 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 of applied experience


* Proficient in coding in one or more languages - Java, Python, SQL


* Proficient in private and public Cloud hosted Platform - Pivotal Cloud, AWS, with In-depth knowledge in AWS EC2, S3, SQS, SNS, Lambda, Glue, PySpark, Cloudwatch, Step function


* Experienced in SRE and Observability tools - Splunk, Dynatrace and DataDog


* Proficient in Oracle, DB2 and AW Aurora Postgress Database with hands on experience writing SQL


* Hands-on practical experience delivering system design, application development, testing, and operational stability


* Work in a big data environment, handling structured, semi-structured, and unstructured data


* 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


* Communicate complex data insights effectively to non-technical stakeholders through excellent verbal and written skills.

Preferred Qualifications, Capabilities, And Skills



* Experience in Data Pipeline desig...