Senior Lead Software Engineer - Java, Spring Boot, Python, PySpark, Databricks, AWS

JPMorgan Chase & Co.; Plano (TX); Presencial; USD 140.000 - 190.000; Jornada completa

Descripción de la vacante

JPMorgan Chase & Co. is seeking a Senior Lead Software Engineer to join the Consumer and Community Banking - Risk Technology Portfolio.

You will lead an agile team to build trusted, secure and scalable technology products, delivering high-quality production code and evolving architecture across multiple technologies. The role emphasizes AI-assisted development, data-driven improvements, and strong SDLC discipline.

Formación

• Formal training and certification on software engineering concepts; 5+ years in the field.
• 2+ years leading technologists to solve complex items within your domain of expertise.
• Hands-on experience in design, development, testing, and operational stability.
• Experience in a large corporate environment with one or more modern programming languages and database querying languages.
• Experience using enterprise AI-assisted development tools and ability to evaluate AI outputs for correctness, performance, and security.
• Strong understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
• Experience with Python, PySpark, Big Data, Data pipelines, Machine Learning.
• Strong SQL skills to validate features and data quality at scale.
• Experience configuring and optimizing Spark clusters for processing large data.
• Hands-on experience with AWS services including EMR, EC2, S3, and CloudWatch.
• Working knowledge of Databricks for Data Pipelines and ML deployment.

Responsabilidades

• Executes software solutions, design, development, and technical troubleshooting with the ability to tackle non-routine problems.
• Drives adoption and governance of AI-assisted engineering practices to improve code quality, delivery speed, and operations, with measurable validation standards.
• Applies SDLC tooling and AI-assisted development capabilities to drive efficiency and reuse.
• Creates secure, high-quality production code and maintains algorithms that run reliably with systems.
• Drive AI/ML delivery best practices alongside software engineering practices.
• Defines architecture for a series of complex deliverables.
• Gathers, analyzes, and visualizes data from large datasets to improve software systems.
• Proactively identifies hidden data patterns to improve coding hygiene and system architecture.

Conocimientos

Leadership

Software engineering

CI/CD

SQL

Python

AI/ML awareness

Big data

Herramientas

Spark

Databricks

AWS

EMR

Descripción del empleo

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Senior Lead Software Engineer at JPMorgan Chase within the Consumer and Community Banking - Risk Technology Portfolio team, 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. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.

Job responsibilities:

• Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
• Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to drive efficiency and support capacity unlock initiatives across teams, prioritizing reuse of existing firm technology assets.
• Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems
• Drive the AI / ML delivery best practices along with software engineering best practices.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Define architecture for series of complex deliverables.
• Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
• Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture

Required qualifications, capabilities, and skills:

• Formal training and certification on software engineering concepts and 5+ years applied experience. In addition, 2+ years of experience leading technologists to manage and solve complex technical items within your domain of expertise
• Hands-on practical experience in system design, application development, testing, and operational stability
• Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
• Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
• Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
• Good knowledge of Machine Learning modelling as an engineer
• Experience in working with one or more programming language(s) and framework(s) (i.e., Python, PySpark, Big Data, Data pipeline, Machine Learning, etc.)
• Strong SQL skills with ability to validate features and data quality at scale
• Experience configuring and optimizing Spark clusters for processing large data.
• Hands-on experience working with AWS services including EMR, EC2, S3, and CloudWatch
• Working knowledge on Databricks in creating Data Pipelines, Machine learning models deployment.

Preferred qualifications, skills, and capabilities:

• Expertise with programming languages like Java, python
• Experience in Cloud Technologies (i.e., AWS - Databricks preferred)
• Experience with serving high volume, High availability & ultra low latency API solutions with Java - Spring Boot applications
• Awareness with Python Machine Learning libraries and ecosystems (i.e., Pandas, Numpy, etc.)
• AWS certifications (e.g. Solutions Architect Associate)
• Exposure to workflow orchestration tools (e.g. Apache Airflow)
• Familiarity with modern LLM techniques