Senior Manager of Software Engineering- SDET
JPMorgan Chase · Posted Oct 7
Global banking, investment, credit card, mortgage, and asset management services
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About the role
JPMorganChase's Commercial & Investment Bank, Payments Technology organization builds and runs the firm's payments platforms. This senior engineering leadership role owns the enterprise test automation and quality engineering strategy, spanning API and UI/E2E automation frameworks, performance and resilience engineering, and AI/GenAI-driven testing transformation. The role mentors a global quality organization across APAC and LATAM and partners with engineering, product, and business leadership to embed quality across the SDLC.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About JPMorgan Chase
JPMorgan Chase & Co. is one of the oldest, largest, and most diversified financial services institutions in the world. Operating globally through the J.P. Morgan and Chase brands, the firm provides a comprehensive range of financial solutions including investment banking, consumer and commercial banking, transaction processing, and asset management. Serving millions of consumers and many of the world's most prominent corporate, institutional, and government clients, the company combines deep market expertise with extensive technological investments.
- Industry
- Banking
- Company size
- 320000+ employees
- Founded
- 1799
- Location
- New York, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Operating Officer
Global Chief Information Officer
CEO, Asset & Wealth Management
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