Manager, Software Engineering - BDSE at Charles Schwab · Hyderabad

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.

Key Responsibilities

• Uses AI assistance for common dev tasks (code suggestions, test generation, review support, automation scripts, troubleshooting) with clear ownership for correctness and quality.
• Applies GenAI in ways that reduce context switching and accelerate delivery across typical workflows (not limited to writing new code).
• Demonstrates practical familiarity with GitHub Copilot and/or Claude Code within IDE/CLI-style workflows.
• Working knowledge of agentic workflows, spec-driven development (translating low-level design artifacts such as class structures, API contracts, and data models into structured specs that guide AI-assisted implementation), and custom instructions and prompt engineering, with the ability to establish team-level practices for effective AI-assisted development.Distributed Systems Architecture: Implement highly available, low-latency distributed systems capable of processing, transforming, and aggregating massive volumes of disparate securities data in real-time.
• Agent-Driven Implementation: Direct and orchestrate specialized AI development agents to iteratively design, build, and deploy high-performance services and data pipelines for our mission-critical platform.
• Cross-Functional Collaboration: Partner closely with product management, data stewards, and business stakeholders to translate complex financial requirements into robust technical specifications and secure, compliant software solutions.
• Governance & Optimization of AI Output: Serve as the authoritative "human-in-the-loop" expert to rigorously review, refactor, and secure agent-generated code, ensuring it meets strict financial industry standards for enterprise performance and risk management.
• Operational Excellence & CI/CD: Drive system reliability by designing robust deployment pipelines, implementing comprehensive system monitoring, and leading root-cause analysis for complex production incidents.
• Custom Agentic Workflow Engineering: Develop, refine, and maintain domain-specific AI prompts, custom skills, and multi-agent workflows tailored to the securities data environment to continuously accelerate the team's software development lifecycle.
• Autonomous Test Orchestration: Implement and oversee autonomous Software Quality Assurance (SQA) agents to rigorously validate complex data aggregations, generate edge-case scenarios, and maintain enterprise-grade test coverage.
• Pioneering Culture & Mentorship: As a foundational engineer in Schwab India, establish the gold standard for human-AI collaborative development, mentoring peers, and driving site-wide adoption of both modern engineering and agentic best practices

What you have

Required Qualifications

• Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLC—implementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentation—while applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected.
• Ability to troubleshoot and resolve technical issues using best practices to support live applications
• Prioritizes compliance, security, and scalability of data systems
• Executes strategies to restore services promptly and address disruptions
• Addresses QA challenges by applying best practices in testing and compliance
• Validates requirements and constraints to support effective development and operations
• Monitors and addresses security policy violations using best practices
• Resolves software design challenges using predictive and adaptive methods
• Applies best practices to build, test, and validate software components while resolving issues
• Consolidates software changes into secure, stable releases using best practices
• Ensures systems align with cloud architectures using modern design methodlogies

Preferred Qualifications

• Conducts in-depth analysis, evaluates factors, and influences decisions with insights
• Ensures stakeholders have the necessary information for informed decisions
• Analyzes market dynamics, provides guidance to peers, and aligns work with business goals
• Trusts colleagues to manage outcome
• Anticipates consequences of situations and acts to prepare for contingencies in assigned task
• Identifies opportunities for process improvements and implements creative solutions
• Influences team quality and effectiveness with decisions
• Verbally presents ideas confidently, ensuring mutual understanding
• Builds credibility with expertise, transparency, and confidentiality
• Delivers powerful messages with persuasive language to drive viewpoint adoption
• Chooses effective methods to reach ambitious goals and measure outcomes
• Applies specialized expertise to support initiatives that optimize performance
• Produces work that meets or exceeds quality expectations
• Writes concise, well-structured, and engaging specifications for Agentic development