What are the responsibilities and job description for the Lead Software Engineer - AWS/Spark/Python position at JPMorgan Chase?
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 design and development
- Experience in AWS Glue, EMR and PySpark
- Design and develop data pipelines using Snowflake and DataBricks to ingest, enrich, and validate data from multiple sources
- Re-engineer and migrate on-premises data solutions to the cloud
