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 Administration, 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.As part of Devops/Finops responsibilities, you will maximizes the value of cloud agnostic solutions, enable timely data-driven decision-making, Code Build, Deploy (CI/CD) and create financial accountability through collaboration between some of the world’s leading developers, QA, Application Owners, engineering, architects, finance, and business teams.  You will get to influence design, development, test and deploy exciting applications and cloud-native microservices, transforming the business processes and user experience for JPMorgan Chase’s Customer Acquisition and Marketing Platform.

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 Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems Proposes, reviews and deploys application Infrastructural Architecture changes to ensure the most cost effective, resilient, stable operation

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years of applied experience DevOps and/or FinOps experience in a cloud environment and Terraform. Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming languages like  python, shell scripting, java. 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, Applicant Resiliency, and Security Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) In-depth knowledge of the financial services industry and their IT systems Strong communication & Presentation skills with an ability to articulate technical matters to a broad audience Practical cloud deployment experience in AWS Cloud services and native data technologies such as AWS EMR, Glu, Lambda, MSK, RDS, Document DB, EC2, EKS etc. Preferred qualifications, capabilities, and skills   Understanding of database design concepts (Pluggable DB’s) and data modeling for relational or nonrelational databases such as RDBMS (Oracle/Postgres), No SQL (MongoDB, Cassandra) or NewSql (Cockroach DB) and search DB’s like Elasticsearch incorporating multi-master across multi-regions Understanding of data design & modeling principles as well as architecture patterns such as data lake, lakehouse, data mart, data fabric and data mesh with experience in Data migrations and Open/Linked data media types such as RDF, Turtle, JSON-LD will be useful Experience with deploying to public and/or private cloud ideally with multi-cloud experience, ideally Cloud agnostic (Snowflake or another public cloud) and Active/Active across region designs, AWS Solution Developer, DevOps, FinOps Certificates etc. is a plus Experience in one or more big data processing frameworks such as Spark, Flink, Storm etc. with stream processing experience using Kafka