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 Markets Technology 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
• Industrialize AI / ML models at scale, develop well-architected cloud-native data-intensive microservices and products
• 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
• Engage in cutting-edge projects including recommender systems, NLP services and Generative AI applications.
• Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
• Formal training or certification on software engineering concepts and 3+ years applied experience
• Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
• Proficient in coding in one or more languages- Python or similar API backend development
• Advanced knowledge with AWS services, Infrastructure as Code, big data and modern data engineering technologies
• Experience working on recommended systems, NLP services, or other AI / ML systems
• Experience developing large-scale Cloud-native data / AI / ML engineering solutions in large corporate environments
• Overall knowledge of the Software Development Life Cycle
• Practical knowledge of modern cloud-based data architectures and technologies, building end-to-end data-intensive micro-services, including automated data pipelines and backend API development.
• Demonstrated knowledge of software applications and technical processes within a technical discipline (., cloud, artificial intelligence, machine learning, mobile,
Preferred qualifications, capabilities, and skills
• Practical experience with Kubernetes, EKS, MLOps
• Prior experience collaborating with data scientists
