Lead Software Engineer – Python, AIML, Cloud

JPMorgan Chase & Co.; Jersey City (NJ); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. in Jersey City is seeking an experienced Software Engineer to design, develop, and troubleshoot scalable solutions for complex financial services applications.

You will write secure production code in Python, leverage AWS, contribute to architecture, and guide junior engineers while promoting best practices and a culture of continuous learning.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years applied experience.
• Strong experience building and running applications on AWS or other public cloud platforms.
• Advanced proficiency in Python programming.
• Proven experience in system design, application development, testing, and maintaining operational stability.
• Skilled in automation, continuous delivery, and the full Software Development Life Cycle.
• Experience with data processing pipelines and DAGs for ML or data workflows.
• Expertise in cloud, AI, and ML technologies.
• Understanding of IT systems in financial services.
• Experience with code reviews and agile methodologies.
• Ability to communicate technical concepts clearly to varied audiences.
• Commitment to continuous learning and creative problem-solving.

Responsibilities

• Design, develop, and troubleshoot software solutions for complex business challenges.
• Write secure, high-quality production code and review code from team members.
• Identify and automate remediation of recurring issues to improve system stability.
• Lead architectural design sessions and provide technical guidance for on-premises and cloud systems.
• Promote adoption of new technologies through internal communities of practice.
• Foster a culture of diversity, equity, and respect within the team.
• Develop and maintain applications using Python and AWS.
• Create and review architecture and design deliverables, ensuring best practices are followed.
• Integrate AI/ML solutions into domain-specific operations processing systems.
• Lead code reviews, design discussions, and agile planning sessions.
• Collaborate with Site Reliability Engineering and monitoring teams to ensure system reliability and performance.

Skills

5+ years experience

AWS

Python

Cloud architecture

SDLC / CI/CD

Data pipelines / DAGs

AI/ML concepts

Financial services domain

Code reviews / agile

Communication to stakeholders

Education

Tools

Terraform

Kubernetes

Docker

Kafka

SageMaker

Bedrock

OpenSearch

Postgres

Job description

Job Responsibilities

• Design, develop, and troubleshoot software solutions for complex business challenges
• Write secure, high-quality production code and review code from team members
• Identify and automate remediation of recurring issues to improve system stability
• Lead architectural design sessions and provide technical guidance for on-premises and cloud systems
• Promote adoption of new technologies through internal communities of practice
• Foster a culture of diversity, equity, and respect within the team
• Develop and maintain applications using Python and AWS
• Create and review architecture and design deliverables, ensuring best practices are followed
• Integrate AI/ML solutions into domain-specific operations processing systems
• Lead code reviews, design discussions, and agile planning sessions
• Collaborate with Site Reliability Engineering and monitoring teams to ensure system reliability and performance

Required Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience
• Strong experience building and running applications on AWS or other public cloud platforms
• Advanced proficiency in Python programming
• Proven experience in system design, application development, testing, and maintaining operational stability
• Skilled in automation, continuous delivery, and the full Software Development Life Cycle
• Experience with data processing pipelines and Directed Acyclic Graphs (DAGs) for machine learning or data workflows
• Demonstrated expertise in cloud, artificial intelligence, and machine learning technologies
• Understanding of IT systems in the financial services industry
• Experience with code reviews and agile methodologies
• Ability to communicate technical concepts clearly to both technical and non-technical stakeholders
• Commitment to continuous learning and creative problem-solving

Preferred Skills

• Experience with Cloud services, Infrastructure as Code (e.g., Terraform), and containerized application development
• Familiarity with data storage systems such as Postgres and OpenSearch, and AWS services including S3, SageMaker, and Bedrock
• Practical experience with Kubernetes, EKS, Docker, Kafka, MLOps, Large Language Model Operations (LLMOps), and event-driven systems
• Knowledge of security best practices in cloud and application development
• Experience integrating AI/ML models into production environments
• Ability to mentor and guide junior engineers
• Participation in technology events or software engineering communities