IT & Software

Senior Lead Software Engineer - Python, Data, Cloud, AIML

JP Morgan Chase

London · Greater London · United Kingdom

Overview

In this Senior Lead role, you will shape and deliver trusted, market-leading technology in a scalable, secure cloud environment. You’ll lead hands-on engineering within an agile team in Markets Research Technology, contributing to data, backend, and AIML initiatives that support the firm’s objectives. You’ll industrialize AI/ML models for production and design robust data solutions, collaborating cross-functionally to drive impact. This is a technically hands-on role with a focus on scalable, production-ready software.

Responsibilities
  • Execute software solutions with design, development, and troubleshooting across multiple technical areas
  • Produce secure, high-quality production code and maintain production algorithms
  • Create architecture and design artifacts for complex applications, ensuring constraints are met
  • Build data and AIML stack including data engineering, backend, Cloud infra, DevOps and MLOps
  • Design and implement data engineering solutions using modern big data technologies
  • Contribute to engineering communities of practice and explore new technologies
  • Demonstrate a learning mindset, problem-solving, and a can-do attitude
Key requirements
  • Formal training or certification in software engineering concepts
  • Hands-on experience in system design, app development, testing, and operational stability
  • Proficient in Python and at least one other modern programming language
  • Experience coding in large corporate environments with database querying languages
  • Knowledge of Software Development Life Cycle
  • Proven track record in system design, architecting microservices, distributed systems and data-intensive apps
  • Experience with Cloud services, Infrastructure as Code, containerized apps, big data, and modern data engineering technologies
  • Hands-on production-scale Cloud-native data engineering solutions in commercial settings
  • Familiarity with Cloud Data services (ETL, Glue, S3, Athena) and MLOps stack
  • Strong communication to stakeholders of diverse backgrounds
  • Effective communication
  • Collaboration with cross-functional teams
  • Problem-solving and critical thinking
  • Python
  • microservices
  • distributed systems

Reference: WJ-747_30191438

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