As a Senior Manager of Software Engineering at JPMorganChase within the Commercial & Investment Bank, Payments Technology, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipate the needs and potential dependencies of other functions within the firm. As an expert in your field, your insights influence budget and technical considerations to advance operational efficiencies and functionalities.
Job responsibilities
- Defines and own the enterprise test automation and quality engineering strategy, aligning with broader engineering and business objectives. Scales and mentor global Quality organization across APAC, LATAM, fostering a “shift Left” culture where quality is shared engineering responsibility
- Provides hands-on technical leadership in designing scalable automation frameworks using Rest Assured (API) and Playwright (UI/E2E), setting standards and best practices across teams.
- Drives the performance engineering roadmap — load, stress, scalability, and resilience testing — using tools such as JMeter, Blazemeter, Gremlin ensuring systems meet enterprise SLAs.
- Drives adoption of AI/GenAI-powered testing practices across the organization (AI-assisted test generation, self-healing automation, intelligent defect triage, predictive quality analytics) to improve engineering velocity and reduce manual effort.
- Deploys advanced synthetic testing to detect issues and latencies in before they impact a single customer in production.
- Partners with senior engineering, product, and business leadership to embed quality and testability into the SDLC from design through production (shift-left/shift-right practices).
- Establishes and report on quality metrics, KPIs, and executive dashboards (defect escape rate, automation coverage, MTTR, performance benchmarks) to senior stakeholders.
- Champions CI/CD-integrated testing practices, ensuring fast, reliable feedback loops across the release pipeline.
- Acts as an escalation point and technical authority for complex production performance issues and quality risk assessments.
- Sets and scales operating practices for enterprise-authorized AI-assisted engineering and SDLC/TLM automation across multiple teams to improve delivery speed, quality, and operational outcomes; establishes measurable expectations (e.g., throughput, defect reduction, reliability) and ensures consistent validation, security, resiliency, and reuse of proven patterns.
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.
- Formal training or 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
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools, including defining governance/ways of working (human-in-the-loop validation, quality gates), measuring outcomes, and ensuring secure handling of sensitive inputs/outputs.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and control expectations; ability to coach managers/leads and influence leaders on safe scaling patterns.
- Experience in software testing/quality engineering and in a leadership/management capacity (leading SDET/QE teams).
- Deep hands-on expertise with Rest Assured for API automation and Playwright for UI/E2E automation, with a track record of building frameworks at scale.
- Strong background in performance/load testing strategy and execution (JMeter), including capacity planning and production performance analysis.
- Demonstrated experience driving AI-enabled testing transformation — automation intelligence, GenAI copilots, or ML-based quality analytics. Proven track record building and scaling automation/performance frameworks across multiple teams or business units.
- Strong leadership skills — team building, mentoring, stakeholder management, and executive communication.
- Deep understanding of CI/CD, DevOps practices, cloud infrastructure (AWS/Azure/GCP), and microservices architecture.
- Experience presenting quality strategy and metrics to senior/executive leadership.
- Strong programming background (Java, JavaScript/TypeScript, or Python) with the ability to contribute hands-on when needed.
Skills Required
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- At least 2 years leading technologists and solving complex technical problems
- Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools
- Experience defining governance, human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs
- Understanding of responsible AI use in engineering workflows, data sensitivity, resiliency, security, and control expectations
- Experience in software testing or quality engineering leadership, including leading SDET or QE teams
- Deep hands-on expertise with Rest Assured for API automation and Playwright for UI/E2E automation
- Experience building scalable automation frameworks
- Strong performance and load testing experience using JMeter, including capacity planning and production performance analysis
- Experience driving AI-enabled testing transformation, including automation intelligence, GenAI copilots, or ML-based quality analytics
- Experience scaling automation and performance frameworks across multiple teams or business units
- Strong leadership, team-building, mentoring, stakeholder management, and executive communication skills
- Deep understanding of CI/CD, DevOps, cloud infrastructure, and microservices architecture
- Experience presenting quality strategy and metrics to senior or executive leadership
- Strong programming background in Java, JavaScript or TypeScript, or Python
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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