Vista previa de la oferta
Sr Manager of Software Engineering - Full Stack
senior · Technology / Software Development
This is your chance to change the path of your career and guide a team to success at one of the world’s leading financial institutions.
As a Sr Manager of Software Engineering at JPMorgan Chase within Consumer & Community Banking (CCB) — Commerce Payments, you lead an agile engineering team delivering backend platforms that support Provisioning and Stored Cards. You manage day-to-day implementation activities by identifying and escalating issues and ensuring your team’s work adheres to compliance standards, business requirements, and tactical best practices.
Job responsibilities
- Provide guidance to a team of software engineers on daily tasks, execution, and delivery priorities.
- Set expectations for team output, engineering practices, and collaboration (design reviews, code reviews, testing, documentation, operational readiness).
- Anticipate and manage dependencies with partner teams to deliver products and applications in line with business requirements.
- Manage stakeholder relationships and ensure the team’s work aligns with compliance standards, service level expectations, and business requirements.
- Establish and reinforce standards for secure, stable, and scalable software, including resiliency and production support practices.
- Guide technical direction for Java backend engineering, including service design, performance, reliability, and troubleshooting.
- Drive cloud-native delivery on AWS, emphasizing automation, observability, and operational excellence.
- Support event-driven architecture delivery using Kafka, including reliability patterns and production troubleshooting.
- 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.
Required qualifications, capabilities, and skills
- 6+ years of software engineering experience, with demonstrated progression in scope/ownership and production delivery.
- Hands-on experience with AI (e.g., Co-Pilot, LLM).
- Experience with Java.
- Experience leading technology projects (planning, execution, delivery accountability, risk management).
- Experience managing technologists (coaching, feedback, hiring/interviewing, career development, performance management).
- Proficient in automation and continuous delivery methods, including CI/CD and quality gates.
- 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.
- Advanced understanding of agile engineering practices such as CI/CD, application resiliency, and security-by-design.
- Practical cloud-native experience (AWS) building and operating services in production.
- In-depth understanding of financial services technology environments and operating within enterprise controls/compliance expectations.
- Degree (or equivalent experience) in Computer Science, Engineering, Mathematics, or a related field.
Preferred qualifications, capabilities, and skills
- Hands-on code-level experience (player/coach)
- Experience with Kafka
- Experience with Cassandra (data modeling, performance, operational considerations) or similar distributed NoSQL stores.
- Payments domain exposure, especially provisioning platforms.