Lead Software Engineer- Python, AIML, Cloud

Testing Site - JPMC; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorgan Chase in Jersey City seeks a Lead Software Engineer to drive secure, scalable technology across on-prem and cloud environments. You will guide architecture, mentor engineers, and deliver trusted AI/ML-enabled solutions for complex financial services workflows.

The role emphasizes leadership in agile teams, high-quality production code, and collaboration with SRE to ensure reliability and performance at scale.

Qualifications

• 5+ years of applied software engineering experience.
• Strong AWS or other public cloud experience including Kubernetes.
• Advanced proficiency in Python programming.
• Experience in system design, application development, testing, and maintaining operational stability.
• Skilled in automation, CI/CD, and the full Software Development Life Cycle.
• Experience with data processing pipelines and DAGs for ML/data workflows.
• Demonstrated expertise in cloud, AI, and ML technologies.
• Understanding of IT systems in the financial services industry.
• Experience with code reviews and agile methodologies.
• Ability to communicate technical concepts clearly to stakeholders.
• 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

AWS

Kubernetes

Python

SDLC & CD/CI

Data DAGs

AI/ML

Cloud security

Agile

Code reviews

Mentoring

Tools

Docker

OpenSearch

Postgres

SageMaker

Bedrock

Terraform

EKS

Job description

We offer an opportunity to shape your career and embark on an exciting journey where you can push the boundaries of what’s possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking – Applied AI/ML team, you are an integral member of an agile group dedicated to enhancing, building, and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. As a core technical contributor, you will drive critical technology solutions across multiple technical domains and business functions, supporting the firm’s strategic objectives.

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 Qualifications, Capabilities, and 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 including Kubernetes.
• 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 Qualifications, Capabilities, and 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