Jobs

Senior Lead Software Engineer- Big Data / AWS / Java / Python
Jersey City, NJ, United States, US
·
On-site
·
Full-time
·
1mo ago
Required skills
Python
Java
React
AWS
Spark
Machine Learning
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 Corporate Sector- Liquidity Risk, you are an integral part of a fast paced agile team working on cutting edge technologies 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
- 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
- Influences peers and project decision-makers to consider the use and application of leading-edge technologies
- Adds to the team culture of diversity, opportunity, 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 one or more programming language including Java and/or Python
- Strong Big-Data and database skills including Spark, Databricks, and/or Data Lake
- Experience with AWS cloud computing using ECS, EKS, EMR, Lambda, etc.
- 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.)
- Ability to tackle design and functionality problems independently with little to no oversight
- Experience in developing, debugging, and maintaining code in a large corporate environment
- Ability to collaborate well with global teams in geographically distributed locations across time zones
- Self-starter, able to reach out to various team members, users and partner teams to get solutions delivered
- Familiar with agile development methodologies (e.g., Scrum) and CI/CD, Applicant Resiliency, and Security
Preferred qualifications, capabilities, and skills- AI, ML, Claude, - React / Java Script Development
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
Employees
New York City
Headquarters
$500B
Valuation
Reviews
3.8
10 reviews
Work-life balance
3.2
Compensation
4.1
Culture
3.8
Career
3.0
Management
2.5
65%
Recommend to a friend
Pros
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
Cons
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
Salary Ranges
41 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1 reports
$139,000
total per year
Base
$107,000
Stock
-
Bonus
-
$139,000
$139,000
Interview experience
5 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Offer rate
40%
Experience
Positive 20%
Neutral 80%
Negative 0%
Interview process
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
Common questions
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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