Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Finance Data, Toolsets and Services (FDTS) team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
1. Leads and owns technical deliveries, driving solutions through from inception through to production.
2. Develops Java/Python applications (hands-on) integrated with AWS services like EC2, S3, Lambda, DynamoDB etc.
3. Drives decisions that influence the product design, application functionality, and technical operations and processes, working with Architects to get the best solution.
4. Regularly provides technical guidance and hands-on support across the team.
5. Acts as the guardian of quality through code reviews, driving secure, stable, and scalable implementations.
6. Troubleshoots and optimizes existing systems for security, performance, availability, and cost.
7. Develops secure and high-quality production code, and reviews and debugs code written by others.
8. Influences peers and project decision-makers to consider the use and application of leading-edge technologies.
9. Adds to the team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
1. Formal training or certification on team leadership concepts and advanced applied experience.
2. Proven ability to implement and advocate CI/CD pipelines for automated testing and deployment on AWS.
3. Practical hands-on experience in developing, debugging, optimizing, and maintaining code in a large corporate environment with one or more modern programming languages (Java or Python) and database querying languages.
4. Experience/knowledge of AWS Architectures including AWS serverless computing and Microservices Architecture.
5. Hands-on practical experience in leading system design, application development, testing, and operational stability.
6. Experience in working with dispersed global teams to influence and meet objectives.
7. Strong experience in writing secure, testable, maintainable code.
8. Ability/experience in solving data-oriented problems using multiple relevant technologies e.g. SQL, Relational DB, Spark, NoSQL while optimizing for performance.
9. Experience reviewing peer code, improving overall quality of deliveries across a team.
10. Strong troubleshooting and performance optimization skills, ability to manage Production issues.
11. Practical experience of working in and driving an agile culture.
Preferred qualifications, capabilities, and skills
1. Experience of Spark performance tuning of complex queries on large datasets.
2. Experience of Big Data technologies.
3. Experience of Databricks or Cloudera.
4. Ability to build Fullstack applications.
5. Exposure to working in an agile development (e.g. story pointing etc).
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