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Chase · 3 months ago

Lead Software Engineer - Machine Learning Operations Virtual Agent Assist

880 Powder Mill Rd, Wilmington, DE, 19803, US

Full-time

Onsite

Senior Level

5+ years exp

Chase is seeking a Lead Software Engineer in the Machine Learning and Intelligence Operations Virtual Agent Assist team. This role involves developing critical technology solutions and enhancing the delivery of market-leading technology products in a secure and scalable manner.

BankingFinancial Services

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, opportunity, inclusion, and respect

Qualification

Software engineering conceptsJavaPythonAutomationContinuous deliverySoftware Development Life CycleAgile methodologiesCloud technologiesEnterprise applicationsSQLDatabase developmentUI FrameworksAWSReactJSMicro-frontendsML frameworksGenAI

Required

Formal training or certification on software engineering concepts and 5+ years of applied experience

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

Advanced in one or more programming language(s) such as Java and Python

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

Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)

Experience in building enterprise applications with high availability and performance using Spring, ORM, Kafka, Elastic Search, Distributed Cache

Hand on experience in UI Frameworks like React

Proficiency in SQL and Database development

Experience managing technologists, building large enterprise applications beyond exposing REST endpoints on database and cloud native applications based on 12 factor methodology

Preferred

Strong AWS experience. Use of ECS, Kafka, S3, DynamoDB, RDS, Elasticcache. Deep knowledge of creating infrastructure using Terraform. Building and deploying docker containers

Experience in building full stack applications with ReactJS front-end and Java backend

Experience in building micro-frontends

Knowledge of ML frameworks and GenAI