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Software Engineer, Lead - Java, Kafka

Company: JP Morgan Chase
Location: Jersey City
Posted on: May 2, 2021

Job Description:

As an experienced member of our WM Data Engineering Group, we look first and foremost for people who are passionate around solving business problems through innovation and engineering practices. You'll be required to apply your depth of knowledge and expertise to all aspects of the software development lifecycle, as well as partner continuously with your many stakeholders on a daily basis to stay focused on common goals. We are seeking a hands-on Applications Developer to join our Data platform services (DPS) team. As an Agile team member, they should participate in all stages of the project lifecycle including: requirements definition, design, implementation and testing of WM Data Services platform (DPS). DPS serves and distributes data to consumers for WM business-critical applications such as client facing external website and various in-house advisor and investor facing tools. They will have to create massively scalable, resilient solutions which have very low operational costs. They will need to large critical Cassandra clusters supporting millions of transactions per day. They will be expected to work with data producers, consumers and other Big Data engineering teams within the firm to agree and implement best practices. They will need to work closely with data providers and data modelers to understand the data and its business criticality. Experience working with highly distributed systems involving data distribution is required.This role requires a wide variety of strengths and capabilities, including:Proven experience in Java8, Spring Boot, Restful ServicesStrong experience with even stream architecture and data distribution via KafkaExpertise with managing and using NoSQL databases - Cassandra preferred.Monitor cluster availability, read/ write latencies, and other key performance metrics to proactively identify SLO misses and help mitigate issues.Tune Cassandra databases for optimizing throughput and read /write latencies.Apply latest DevOps concepts to continuously improve and transform platform into a highly available, highly maintainable platform - including but not limited to code, policy processes, behaviors, tools.Create automated tests for software created and define automated testing best practices within the team.Monitor production activities/process to ensure timely and effective reporting, tracking, follow-up and communications of problems internal and external clients, technical resources.Understand the structures, usages and sources of the data. High energy and willingness to learn new technologies.Establish strong working relationships with team members and across data consumers.Handle individual workload and deliver project milestones on time and on budgetBuild highly available, scalable distributed systems using Java & Java EE technologies, Spring framework - Spring Boot/Spring Cloud preferred, Git, Maven, Jenkins, and Tomcat.Ability to work in large, collaborative teams to achieve organizational goalsPassionate about building an innovative cultureFull timeSDL2017

Keywords: JP Morgan Chase, Jersey City , Software Engineer, Lead - Java, Kafka, IT / Software / Systems , Jersey City, New Jersey

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