JPMorgan Software Engineer lll - Fullstack Java AWS 

India, Maharashtra, Mumbai 

484516614

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 development concepts and 7+ years applied experience in an Object-Oriented programming language (such as Java, C++, Python) and SQL
• Hands-on practical experience in system design, application development, testing, and operational stability & Self-motivated with passion for technology.
• In-depth knowledge of software applications and technical processes with practical knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
• Experience in developing highly scalable micro-services based applications.
• In-depth knowledge and experience in at least two of the following areas as well as good understanding of the rest.
• High throughput, low latency micro service development leveraging AWS services such EKS, ECS, Fargate, ELB, etc., High throughput near real time stream processing with services such Kinesis, Flink, ECS, EKS, etc & High-volume feature engineering with services such EMR.
• Experience leveraging trained model artifacts in newer model architectures and approaches such as neural networks, embeddings, multi arm bandits, etc.
• Solid understanding of agile methodologies and knowledge of SDLC including CI/CD, Application Resiliency, and Security.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).

Preferred qualifications, capabilities, and skills

• Experience with recommendation and personalization systems is a plus.
• Proficiency with relational DBs, SQL, RDS.
• Familiarity with development and build tools (or similar): IntelliJ /Eclipse, Maven, Gradle, Sprint Boot, MVC, Spring, Cloud.
• Familiarity in working with high through put and scalable messaging technologies like Kafka, Kinesis.