Your opportunity

At Charles Schwab, our purpose is simple: we champion client’s goals with passion and integrity. Guided by honesty, mutual respect and a commitment to doing what’s right, 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’s a chance to experiment, learn, and build within a values-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.

What you have

The Control-M Developer is a hands-on developer responsible for designing, developing and supporting enterprise batch scheduling and automation solutions using Control-M within Schwab Data India. The Batch Services team builds and maintains highly secure and reliable batch processing that orchestrates mainframe and distributed workloads across Schwab’s hundreds of applications. This role contributes to the Analytical Data Platform Engineering (ADPE) organization which owns the strategy, implementation, delivery, and support of the data warehouse and emerging data platforms managing over 4 petabytes of data.

Key Responsibilities

Development & Implementation

• Design, develop, and maintain Control-M jobs, folders, and scheduling solutions across mainframe and distributed platforms.
• Build and support secure, reliable batch workflows including dependencies, calendars, and file transfers (NDM, FTP, SFTP, PGP/FTP, NFS).
• Automate repetitive batch and operational tasks using Python and shell scripting.
• Write clean, well-tested code and Control-M configurations following team standards and best practices.
• Apply AI and Generative AI tools to accelerate development, automate routine tasks, and improve batch operations and observability.
• Participate in technical design discussions and contribute ideas for solution improvements.

Collaboration & Learning

• Collaborate with team members through code reviews, pair programming, and knowledge sharing.
• Work with application support teams, Production Control, and stakeholders to understand requirements and acceptance criteria.
• Participate in agile ceremonies including sprint planning, daily standups, and retrospectives.
• Coordinate with U.S.-based team members for knowledge transfer and issue resolution.
• Document processes, procedures, and technical implementations.

Quality & Operations

• Provide Level 2 support for batch execution, problem determination, and service restoration.
• Follow established CI/CD practices for code and configuration deployment and release management.
• Troubleshoot and debug batch and application issues, providing timely resolutions.
• Adhere to Schwab’s security, privacy, and regulatory standards in all development work.
• Support production deployments and participate in on-call rotation as needed.

Required Experience

• Minimum 6-8 years of hands-on experience in Control-M administration and development (mandatory).
• Experience with enterprise batch scheduling across mainframe and distributed (UNIX/LINUX/Windows) environments.
• Working knowledge of JES/SDSF, ISPF, JCL, CA-ESP, CA11, and file transfer protocols (NDM, FTP, SFTP, PGP/FTP, NFS).
• Familiarity with version control systems (Git) and agile development methodologies.
• Strong proficiency in SQL and understanding of database infrastructure (Oracle, MS-SQL Server, PostgreSQL) (mandatory).

Preferred Experience

• Programming experience with Python for automation and scripting.
• Exposure to AI / Machine Learning concepts and the ability to leverage AI-based tools to improve automation and productivity.
• Data Warehouse and ETL knowledge or experience.
• Unix Shell Scripting and PERL knowledge; ability to read and interpret debug logs.

Skills and Attributes

• Strong problem-solving skills with attention to detail and quality.
• Good communication skills with the ability to articulate technical concepts to technical and non-technical audiences.
• Excellent at gauging customer impact and escalating with the appropriate sense of urgency.
• Team player who thrives in a collaborative, fast-paced environment.
• Self-motivated with a mindset to automate wherever possible and a passion for learning new technologies.
• Adaptable and open to feedback with a growth mindset.