JPMorgan Lead Software Engineer 

United States, New Jersey, Jersey City 

913602656

Job responsibilities

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development and gaining consensus from peers where appropriate
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture
• Contributes to software engineering communities of practice and events that explore new and emerging technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Implements infrastructure, configuration, and network as code for the applications and platforms in your remit using automated continuous integration and continuous delivery pipelines
• Collaborates with technical experts, key stakeholders, and team members to resolve complex problems.

Required qualifications, capabilities, and skills

• Hands-on practical experience in system design, application development, testing, and operational stability
• Proficient in coding in one or more languages Python, Java, and Spring Boot
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Overall knowledge of the Software Development Life Cycle
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. Knowledge of GIT, BitBucket, Jenkins, SONAR, SPLUNK, Maven, AIM and Continuous Delivery tools
• Good understanding of data life cycle in the firm
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Specialized ETL knowledge such as Spark ETL or Ab Initio
• Working knowledge of Kubernetes, Dockers, any other containers technology
• Working knowledge of Cloud, such as AWS

• Preferred qualifications, capabilities, and skills
• Understanding and implemented Data Bricks on a public Cloud like AWS
• Knowledge/experience in Hadoop environment administration, release deployments to Hive/HBase, supervising Hadoop jobs, performing cluster coordination services will be preferable.
• Strong analysis, research, investigation, and evaluation skills, with a structured approach to problem solving.
• UNIX file management & administration and good shell scripting experience
• Oracle (v9i/10/11/19c ) running on Exadata, Ansi SQL, PL /SQL Stored Procedures support/development