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 Corporate Data and Analytics - Core Data Engineering services 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 problemsDevelops secure high-quality production code, and reviews and debugs code written by othersDesigns, implements, and maintains continuous integration and continuous deployment (CI/CD) pipelines using tools like Jenkins, GitLab, or Terraform.Automates infrastructure provisioning and management using container orchestration tools such as ECS, Kubernetes, and Docker.Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systemsMonitors system performance and implement optimizations to improve efficiency and scalability.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

 

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience delivering system design, application development, testing, and operational stabilityAdvanced in one or more programming language(s) : Python, Java/Spring BootProficiency in automation and continuous delivery methodsProficient in all aspects of the Software Development Life CycleExperience with monitoring and logging tools such as Grafana, Dynatrace, Datadog, and Splunk.Proficiency in CI/CD tools like Jenkins, GitLab, or Terraform.Experience with container orchestration tools such as ECS, Kubernetes, and Docker.Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and SecurityDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)Practical cloud native experience

Preferred qualifications, capabilities, and skills

Knowledge of ML Ops practices and tools is preferred.Knowledge of Databricks APIs and services are preferred