JPMorgan Java Lead Software Engineer 

United Kingdom, Scotland 

576633356

Job responsibilities

• Owns and delivers technical solutions, driving solutions through from inception through to production
• Develops Java/Python applications (hands-on) integrated with AWS services like EC2, S3, Lambda, DynamoDB etc.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Regularly provides technical guidance and hands-on support across the team
• Acts as the guardian of quality through code reviews, driving secure, stable and scalable implementations
• Troubleshoots and optimises existing systems for security, performance, availability and cost
• 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
• Adds to team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• Formal training or certification on team leadership concepts and advanced applied experience
• Practical hands-on experience in developing, debugging, optimising and maintaining code in a large corporate environment with one or more modern programming languages (Java and/or Python) and database querying languages
• Experience/knowledge of AWS serverless computing and microservices architecture
• Hands-on practical experience in leading system design, application development, testing, and operational stability
• Good understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Strong experience in writing secure, testable, maintainable code
• Ability to solve data-oriented problems using multiple relevant technologies e.g. SQL, Relational DB, Spark, NoSQL while optimizing for performance
• Experience reviewing peer code, improving overall quality of deliveries
• Strong troubleshooting and performance optimization skills
• Practical experience of working in an agile culture
• Proficient in all aspects of the Software Development Life Cycle

• Experience of Spark performance tuning of complex queries on large datasets
• Experience of Big Data technologies
• Experience of Databricks or Cloudera
• Experience of building Fullstack applications
• Exposure to working in an agile development (e.g. story pointing etc)