The Lead Software Engineer will design, develop, and deliver complex AWS-based solutions, ensuring high-quality code and system architecture while identifying and resolving technical issues.
Job Description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorgan Chase within the AI/ML & Data Platform team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.
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
- 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
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Experience in building complex distributed systems using Java (11/17) on AWS.
- Knowledge of AWS products/services and Kubernetes/container technologies for specific workloads.
- Good understanding of established patterns, such as stability patterns/anti-patterns, event-based architecture, CQRS, and process orchestration.
- Real-world experience in building applications on AWS across multi-AZ, multi-region, and multi-cloud vendor environments.
- Experience in designing architectures that align with business engineering teams' needs.
- Excellent understanding of modern engineering practices to leverage Public Cloud benefits, such as auto-scaling, with a focus on end-to-end engineering experience supported by tooling and automation
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Famiiar with Apache Spark Structured Streaming/ Apache Flink
- Exposure to cloud technologies
Top Skills
Apache Flink
Spark
AWS
Java
Kubernetes
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