JPMorgan Lead Software Engineer - Backend Java 

United States, New York, New York 

307284116

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 problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• 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
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, opportunity, inclusion, and respect

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 stability
• Advanced in one or more programming language(s): Java, C++, python

• Requires in-depth of knowledge and experience in any two of the following areas, with developing knowledge in the others.

  - High-throughput, low-latency micro service development using public cloud services.

  - High throughput stream processing using Kinesis, Flink

  - High volume data processing using tools such as DuckDB, Spark EMR etc.

• 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 proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Experience with agile methodologies and knowledge of SDLC including CI/CD, Application Resiliency, and Security is needed.
• Experience in containers (docker ecosystem), container orchestration systems [Kubernetes, ECS], DAG orchestration [Airflow, Kubeflow etc]

Preferred qualifications, capabilities, and skills

• Hands-on experience with AWS managed services such as EKS, ECS ECS2, ECS Fargate
• Experience with recommendation and personalization systems
• Developing software in a well-managed Software development environment such as Banking