We have an exciting and rewarding opportunity for you to take your software engineering career to the next level. 

As a Lead Software Engineer at JPMorgan Chase within the Personalization and Insights product you will build and support high throughput, low latency applications which leverage state of the art machine learning architectures, and which are deployed in AWS.  These applications power personalized experiences across Chase Consumer & Community Banking channels, to help weave a user experience that includes traditional banking services with other services in the Travel, Merchant Offer Shopping, and Dining spaces.

Job responsibilities

Leads teams to deliver engineering results with direct business and customer impacts, on time and on budget.      Works has impact to immediate team and impacts additional teams and functions.  Partners with product, architecture, and other engineering teams to define scalable and performant technical solutions.        Leverages deep technical expertise to design extensible and scalable solutions, and to coach and grow individuals and teams. Ensures team executes work according to compliance standards, SLAs, and business requirements, to meet the objectives of an initiative.  Anticipates the needs of broader teams and potential dependencies with other teams.  Identifies and mitigates issues to execute a book of work while escalating issues as necessary. Proactively helps maintain high operational excellence standards for our production systems.  Encourages development of technological methods and techniques within team.

Required qualifications, capabilities, and skills

Formal training or certification on software engineering concepts and 5+ years applied experience Hands-on practical experience in Frameworks, system design, application development, testing, and operational stability Advanced in one or more programming language(s) (e.g., JAVA, and frameworks of Spring, Micro Services, APIs, etc.) Experience with Apache Spark or similar large-scale data processing engines Experience with Distributed Datastores (e.g. Cassandra) 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 knowledge of software applications and technical processes within a technical discipline (e.g., cloud, BigData, artificial intelligence, machine learning, mobile, etc.)

Preferred qualifications, capabilities, and skills

Experience designing, developing and deploying software components on AWS using common compute and storage services such as EC2, EKS, Lambda, S3 Experience with Big Data / Distributed / cloud technology (AWS Big data services like lambda, glue, glue emr and Spark Architecture, Performance tuning ,Spark SQL, Streaming, KAFKA, Entitlements etc., ) Certified AWS Cloud Practitioner, Developer or Solutions Architect strongly preferred Experience using Terraform to deploy infrastructure-as-code to public cloud Experience with Linux scripting such as Bash, KSH, or Python