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If you are a software engineering leader ready to take the reins and drive impact, we’ve got an opportunity just for you.
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As a Director of Software Engineering at JPMorgan Chase within the Corporate and Investment Banking
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Payments Team, you lead a technical area and drive impact within teams, technologies, and projects across departments. Utilize your in-depth knowledge of software, applications, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery. You will own the end-to-end quality and reliability of our real-time payment rails across locations. This is not a traditional QA role; you are an engineering leader tasked with ensuring sub-second transaction integrity for thousands of global clients,
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Leads technology and process implementations to achieve functional technology objectives
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Scales and mentors a global QE organization across APAC and LATAM, fostering a "Shift-Left" culture where quality is a shared engineering responsibility, not a downstream phase.
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Architects and governs high-concurrency E2E automation frameworks that enable "zero-touch" deployments into production while maintaining 99.999% availability.
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Deploys advanced Synthetic Testing to detect issues or latencies in before they impact a single customer in production.
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Leads Chaos Engineering initiatives to stress-test our "anti-fragile" systems against regional infrastructure failures, ensuring the payment state is never lost during network partitions.
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Owns the performance strategy for extreme burst events. You will be accountable for system stability during the Super Bowl, Black Friday, and massive regional e-commerce festivals.
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Drives deep validation for high-stakes API orchestrations and global standards (e.g., ISO 20022), ensuring seamless interoperability across fragmented payment ecosystems.
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Ensures the platform remains compliant with diverse regional mandates (e.g., Brazil’s Pix, India’s UPI, or local data residency laws) without slowing down the release velocity.
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Establishes data-driven metrics like Mean Time to Detect (MTTD) and Automated Regression Speed to provide executive transparency on global release readiness
Required qualifications, capabilities, and skills
- Formal training or certification on s oftware engineering concepts and 10+ years applied experience. In addition, 5+ years of experience leading technologists to manage, anticipate and solve complex technical items within your domain of expertise
- Experience in QA assurance and NFR space
- Experience with heading cross-functional teams of technologists - hiring, developing, and recognizing talent
- Experience leading modernization of platforms from testing perspective, Knowledge of transformation projects
- Experience working a level where the person can lead pro-active test strategy, find new ways to innovate and automate this space
- Practical cloud native experience
- Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field
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About JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase is a multinational investment bank and financial services company that provides banking, investment, and asset management services globally. It is one of the largest banks in the United States by assets and market capitalization.
300,000+
Employees
New York City
Headquarters
Reviews
4.2
10 reviews
Work Life Balance
4.2
Compensation
4.3
Culture
4.5
Career
4.4
Management
4.1
75%
Recommend to a Friend
Pros
Good pay and benefits
Work-life balance
Career advancement opportunities
Cons
Heavy workload at times
Career advancement takes time
Pay could be better in some roles
Salary Ranges
47 data points
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analyst
21 reports
$126,500
total / year
Base
$110,000
Stock
-
Bonus
-
$95,450
$155,250
Interview Experience
4 interviews
Difficulty
2.8
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
HireVue Video Interview
3
Technical/Behavioral Assessment
4
Final Interview Round
5
Offer Decision
Common Questions
Behavioral/STAR
Technical Knowledge
Past Experience
Culture Fit
Case Study
News & Buzz
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