Sr Manager, Software Engineering - Enterprise Delivery & Enablement

Your opportunity

At Charles Schwab, our purpose is simple: we championclients’goals with passion and integrity. Guided by honesty, mutualrespectand a commitment to doingwhat’sright, we bring innovation, education, and service together to help shape financial futures. Our people are the foundation of our success – they approach their work with curiosity and collaboration, coming together to create solutions that make a meaningful impact for clients and communities. As we expand into India, we are bringing this same culture of inclusion, learning, and opportunity to new talent. Joining us means becoming part of a global team where your work matters and your future can take shape.

Our Hyderabad location is central to Schwab’s growth, bringing together talented people and technology to drive innovation, scale, and efficiency. Here, you will work alongside teams who create solutions that support millions of clients every day. The work you do is more than daily operations –it’sa chance to experiment, learn, and build within avalue–driven, supportive environment. This is a unique opportunity to be part of our early growth phase and shape something new, backed by the stability and strength of a Fortune 500 company. Your impact begins on day one, and your contributions will help define our future in the region.

We areseekinga highly skilled and visionary Senior Manager to lead initiatives in Continuous Integration/Continuous Deployment (CI/CD), Artificial Intelligence (AI), and enterprise planning systems. This role requires a blend of technicalexpertise, strategic thinking, and leadership to drive innovation, streamline development workflows, and enable AI-powered solutions across the organization. 

Key Responsibilities:

•  Strategic Leadership
      - Contribute to and execute the roadmap for CI/CD pipelines, AI-driven development, and planning systems.
      - Align technology initiatives with businessobjectivesto deliver measurable outcomes.
      - Foster a culture of innovation, collaboration, and continuous improvement.
• CI/CD and Development Enablement
      - Oversee implementation and optimization of CI/CD pipelines using GitHub Actions and advanced workflows.
      - Ensure robust security practicesleveragingGitHub Advanced Security.
      - Driveadoptionof agentic software development and enablement strategies.
  •Artificial Intelligence
      - Lead AI integration into development and planning systems.
      -Maintaina strong understanding of AI models, including generative and predictive capabilities.
      - Collaborate with cross-functional teams toidentifyAI use cases that enhance productivity and decision-making.
  •Planning Systems and Production Support
      - Manage enterprise planning tools and processes to support operational efficiency.
      - Oversee production support for critical systems, ensuring reliability and scalability.
      - Implement best practices for incident management and root cause analysis.
  •Team Leadership
      - Build and mentor high-performing teams across software development, AI, and planning domains.
      - Promote professional growth and technical excellence within the team.
      - Drive collaboration across engineering, product, and operations teams.

What you have

Required Qualifications

• Proficiencyin GitHub ecosystem: GitHub, GitHub Copilot, GitHub Actions workflows, and GitHub Advanced Security.

• Strong understanding of agentic software development principles.

• Deep knowledge of AI models and their application in enterprise systems.

• Experience with Jira and Confluence for agile planning and documentation.

• Familiarity with planning systems and production support processes.

• Hands-on experience with software development tools and CI/CD best practices.

• Leadership and Communication

• Proven ability to lead cross-functional teams and manage complex projects.

• Strong strategic thinking and decision-making skills.

• Excellent communication and stakeholder management capabilities.

Preferred Qualifications

    - Experience in large-scale enterprise environments.
    - Background in software engineering or AI research.
    - Knowledge of compliance and security standards in software development.