Senior Lead Software Engineer - Python/AWS/AI/LLM

慨正橡扯; Jersey City (NJ); On-site; USD 130,000 - 160,000; Full time

Benefits offered by this job

Comprehensive health care coverage

Retirement savings plan

Tuition reimbursement

Mental health support

Job summary

The role of Senior Lead Software Engineer at 慨正橡扯 in Jersey City involves leading software engineering efforts within the Asset Wealth Management team. You will be part of an agile team tasked with developing market-leading technology products, focusing on AI and machine learning solutions.

Your responsibilities include driving technical decisions, developing high-quality production code, and collaborating with cross-functional teams to produce scalable software solutions. A background in Python and AWS is critical for success in this position.

Qualifications

• 5+ years of applied experience in software engineering.
• Strong programming skills in Python.
• Advanced knowledge of software applications and technical processes.

Responsibilities

• Provide technical guidance to support business and technical teams.
• Develop secure and high-quality production code.
• Drive decisions that influence product design and technical operations.
• Design and implement highly scalable data processing pipelines.

Skills

Python programming

AWS cloud computing

Machine Learning

Data Structures

Algorithms

Data Mining

Information Retrieval

Education

Formal training or certification on software engineering concepts

Tools

AI-assisted development tools

SQL (Postgres)

NoSQL (OpenSearch, Redis)

Job description

Job Description

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 – Python/AWS/AI/LLM at JPMorgan Chase within the Asset Wealth Management 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…

Job Responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors.
• Develops secure and high‑quality production code, and reviews and debugs code written by others.
• Drives decisions that influence the product design, application functionality, and technical operations and processes.
• Serves as a function‑wide subject‑matter expert in one or more areas of focus.
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle.
• Collaborate with firmwide AI/ML teams, Business and Product Partners, peers in geographically dispersed teams, and colleagues across JPMorgan AWM's lines of business and functions to drive alignment, accelerate adoption of common AI capabilities, and deliver impactful solutions.
• Hands‑on architecture and implementation of lighthouse ML and LLM‑powered solutions.
• Design and implement highly scalable and reliable data processing pipelines and deploy model inference services.
• Experiment, develop, and productionize high‑quality machine learning models, services, and platforms to make a huge technology and business impact; Deploy solutions into public cloud infrastructure.
• 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 approved AI‑assisted development and automation capabilities, to improve the value realized by automation at scale.

Required Qualifications, Capabilities, and Skills

• Formal training or certification on software engineering concepts and 5+ years applied experience.
• Demonstrated experience leading effective use of enterprise‑authorized AI‑assisted software development tools within the work environment (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching senior engineers/leads on compliant usage patterns and controls.
• Advanced in one or more programming language(s).
• Advanced knowledge of software applications and technical processes with considerable in‑depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Experience in using LLMs (OpenAI, Anthropic, or other models) to solve business problems, including full workflow toolset such as tracing, evaluations, and guardrails.
• Must have strong programming skills in Python; deep knowledge in Data Structures, Algorithms, Machine Learning, Data Mining, Information Retrieval, and Statistics.
• Demonstrated ability to perform independent end‑to‑end solution design, with attention on modern architecture, scalability and security.
• Expert knowledge of AWS cloud computing platforms.
• Knowledge of data management, including data model design, as well as real‑time data processing on both SQL (such as Postgres) and NoSQL stores (such as OpenSearch and Redis).
• Proven leadership capacity, including new AI/ML idea generation and GenAI‑based solutions; excellent communication skills and ability to communicate with senior technical and business partners.

Preferred Qualifications, Capabilities, and Skills

• Expert knowledge of one of the cloud computing platforms preferred: Amazon Web Services (AWS), Azure, Kubernetes.
• Emerging technologies.

Benefits

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission‑based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on‑site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

Equal Opportunity Employer

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Team Overview

J.P. Morgan Asset & Wealth Management delivers industry‑leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Our Asset and Wealth Management division is driven by innovators like you who are driven to create technology solutions that make us work more efficiently and help our businesses grow. It's our mission to efficiently take care of our clients' wealth, helping them get, and remain properly invested. Our team of agile technologists thrive in a cloud‑native environment that values continuous learning using a data‑centric approach in developing innovative technology solutions.