Lead Software Engineer - Python, AIML, Cloud

JPMorgan Chase & Co.; Jersey City (NJ); In loco; USD 140.000 - 190.000; Tempo pieno

Descrizione del lavoro

JPMorgan Chase & Co. is seeking an experienced software engineer in New Jersey to design, develop, and maintain scalable solutions across on-premise and cloud environments. You will leverage Python and AWS to deliver secure code and guide architectural decisions.

The role emphasizes automation, CI/CD, and collaboration with SRE and analytics teams, with a focus on ML/DAG-driven data workflows and responsible cloud usage. A strong communication ability and financial-services insight are valued.

Competenze

• 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 DAGs for ML or 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 both technical and non-technical stakeholders.
• Commitment to continuous learning and creative problem-solving.

Mansioni

• 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.

Conoscenze

Python

AWS

Cloud architecture

SDLC

CI/CD

Data pipelines

AI/ML

Communication

Problem-solving

Mentoring

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

Terraform

Docker

Kubernetes

OpenSearch

PostgreSQL

SageMaker

Bedrock

Kafka

Descrizione del lavoro

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