Sr Manager of Software Engineering - React Tech Lead

J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world. 

When you mentor and advise multiple technical teams and move financial technologies forward, it’s a big challenge with big impact. You were made for this. 

As a Senior Manager of Software Engineering at JPMorganChase within the Global Banking Technology Tem, you serve in a leadership role by providing technical coaching and advisory for multiple technical teams, as well as anticipating 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. The VP, Team Lead will own delivery and technical direction for a cloud-native application, leading a cross-functional team building scalable services and user-facing experiences. This role blends architecture and engineering leadership across Java, Python, React, and AWS, with accountability for reliability, security, and execution.

Job responsibilities

• Lead a team of back and frontend engineers to deliver a cloud application roadmap end-to-end.
• Define and evolve architecture for microservices and web applications, specializing in the frontend architecture.
• Drive engineering excellence: code quality, testing strategy, CI/CD, observability, and incident management.
• Own cloud infrastructure and platform practices on AWS (e.g., networking, compute, storage, IAM, monitoring).
• Ensure security-by-design, compliance alignment, and strong risk management across the SDLC.
• Partner with Product, Design, and stakeholders to translate business needs into technical plans and milestones.
• Mentor engineers, set performance expectations, hire and develop talent, and build a strong team culture.
• Manage delivery metrics (predictability, throughput, availability) and continuously improve processes.
• Experience integrating AI/ML capabilities into cloud applications.

Required qualifications, capabilities, and skills

• Significant experience leading software engineering teams delivering production cloud applications.
• Strong Frontend experience with React (modern JS/TS patterns, state management, performance).
• Deep working knowledge of AWS (architecture, cost-awareness, reliability and security fundamentals).
• Experience with microservices, REST/GraphQL APIs, event-driven patterns, and distributed systems.
• Proven ability to lead across the full SDLC: design, implementation, release, operations, and support.
• Clear communicator who can align technical strategy with business outcomes. Decisive, pragmatic, and able to drive trade-offs (speed vs. risk vs. cost).
• Strong coach/mentor with a track record of developing senior engineers and future leaders. Operational mindset: plans for resilience, monitoring, and incident response from day one.

• Fluent in English.

• Proficiency in AI Coding Assistants: Daily use of tools like Cursor, GitHub Copilot, and Claude to accelerate code generation, documentation, and refactoring.
• Effective Prompt Engineering: Providing AI models with context, clear goals, relevant source material, and defined output expectations to generate accurate, usable code.
• Critical Evaluation & Validation: Ability to identify hallucination patterns, security vulnerabilities, and logic errors in AI-generated code, ensuring safety before production deployment.
• RAG Pipeline & Agent Development: Understanding how to build retrieval-augmented generation (RAG) pipelines and create agents to integrate AI into existing systems.
• Augmented Development Workflow: Integrating tools into CI/CD pipelines, containerization (e.g., Docker), and leveraging AI to quickly bridge language gaps (e.g., transitioning between Python, JavaScript, or Java).

Preferred qualifications, capabilities, and skills

• Familiarity with modern data stores and messaging (SQL/NoSQL, streaming/queues).
• Backend engineering background in Java and/or Python (APIs, services, data integration).
• Experience building internal platforms, developer tooling, or large-scale CI/CD pipelines.
• Strong stakeholder management in a regulated or high-availability environment.