JPMorgan Chase & Co.
Lead Software Engineer - Python/Django Developer
JPMorgan Chase & Co., Jersey City, New Jersey, United States, 07390
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high‑quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands‑on practical experience delivering system design, application development, testing, and operational stability
Advanced in Python programming, with the ability to write clean, efficient, and maintainable code. Experience with database management and optimization, ensuring robust and scalable data solutions
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Strong experience in developing web applications using Django and Django REST Framework, with a focus on building scalable and maintainable APIs
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In‑depth knowledge of the financial services industry and their IT systems
Practical cloud native experience
Preferred qualifications, capabilities, and skills
Proven expertise in designing, deploying, and managing containerized applications using Kubernetes, with a strong understanding of orchestration and scaling strategies.
Demonstrated ability to architect and manage infrastructure on AWS Cloud, utilizing Infrastructure as Code (IaC) tools like Terraform to automate and optimize deployment processes.
Hands‑on experience with relational databases, particularly CockroachDB or similar distributed databases, ensuring data consistency, reliability, and performance in distributed environments.
Proven experience in designing and implementing control plane architectures for large‑scale applications, focusing on efficient resource management, orchestration, and system reliability to support complex, distributed systems.
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As a Lead Software Engineer at JPMorgan Chase within the Infrastructure Platforms, you are an integral part of an agile team that works to enhance, build, and deliver trusted market‑leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.
Job responsibilities
Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Develops secure high‑quality production code, and reviews and debugs code written by others
Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes‑oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
Leads communities of practice across Software Engineering to drive awareness and use of new and leading‑edge technologies
Adds to team culture of diversity, equity, inclusion, and respect
Required qualifications, capabilities, and skills
Formal training or certification on software engineering concepts and 5+ years applied experience
Hands‑on practical experience delivering system design, application development, testing, and operational stability
Advanced in Python programming, with the ability to write clean, efficient, and maintainable code. Experience with database management and optimization, ensuring robust and scalable data solutions
Proficiency in automation and continuous delivery methods
Proficient in all aspects of the Software Development Life Cycle
Strong experience in developing web applications using Django and Django REST Framework, with a focus on building scalable and maintainable APIs
Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
In‑depth knowledge of the financial services industry and their IT systems
Practical cloud native experience
Preferred qualifications, capabilities, and skills
Proven expertise in designing, deploying, and managing containerized applications using Kubernetes, with a strong understanding of orchestration and scaling strategies.
Demonstrated ability to architect and manage infrastructure on AWS Cloud, utilizing Infrastructure as Code (IaC) tools like Terraform to automate and optimize deployment processes.
Hands‑on experience with relational databases, particularly CockroachDB or similar distributed databases, ensuring data consistency, reliability, and performance in distributed environments.
Proven experience in designing and implementing control plane architectures for large‑scale applications, focusing on efficient resource management, orchestration, and system reliability to support complex, distributed systems.
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