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Lead Software Engineer - Java, Big Data

Aumni

Aumni

Software Engineering
Bengaluru, Karnataka, India
Posted on Monday, September 2, 2024

Job Description

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 Asset and Wealth Management, 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

  • Manage a software engineering team that designs, implements, and maintains front-end and back-end applications, services, libraries, and frameworks
  • Build scalable Cloud Native applications from a Domain driven design and micro service architecture perspective, identifying bounded context and service interactions, supporting multiple API versions with backward compatibility
  • Acquire the data from primary or secondary data sources, process, churn and analyze it at scale
  • Identify, analyze, and interpret trends or patterns in complex data sets
  • Develop and fine tune Elasticsearch queries and cluster resources for performance
  • Work on various scheduling tools such as Airflow, Autosys and Control-m
  • Review design and functional specification prepared by other team members
  • Analyze and document problems, recommend solutions, and initiate corrective action.
  • Support production rollouts of the functionality on-site by partnering closely with the Operate team
  • Follow and promote Agile practices including Scrum, Lean, BDD, and Continuously Delivery

Required qualifications, capabilities, and skills

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Experience in Java, Databases (Any RDBMS) / No SQL Databases
  • Experience working in Big Data environment
  • Advanced knowledge of application, data and infrastructure architecture disciplines
  • Experience with full-stack Web application development, including REST Web services in Java 17, Spring Boot
  • Experience in Spark, HDFS, Hive, Impala etc. shell scripting and Python / Scala, also willingness to learn new programming languages to meet goals and objectives
  • Good knowledge in messaging systems: Kafka / RabbitMQ
  • Experience with SQL databases such as Oracle or Sybase
  • Experience with NoSQL database platforms (ELK) Elasticsearch and Kibana

Preferred qualifications, capabilities, and skills

  • Familiar with distributed system patterns and libraries like Spring Cloud, Experience with large complex projects with distributed development teams
  • Familiarity with Private/Public Cloud
  • Experience in JavaScript and ReactJs is a plus