Sr Java Engineer - CCAT

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​.

CCAT is a key tower in Schwab Broker-Dealer Service Engineering. We build the Schwab Customer Identifier (SCID) — the unified identity layer that resolves the same client across Schwab affiliates and powers a true 360° view of every customer across all lines of business. As a Senior Engineer, you'll deliver client-facing capabilities end-to-end and help raise how the team builds with AI. We're specifically seeking engineers shaped by product-engineering environments — Global Capability Centers (GCCs), product companies, or in-house engineering orgs — where you owned a system, not a statement of work. The bar at CCAT is high ownership and accountability: you treat the product as yours, you stay with what you ship, and you're measured by the outcome — not by the handoff.

• Deliver end-to-end features and services from design through production rollout — and stay accountable for them after they ship.
• Drive technical execution on your modules — make sound design choices, write production-grade code, and proactively flag risks.
• Build hands-on in Java on GCP and PCF.
• Adopt AI-assisted engineering practices — use Copilot, Claude Code, and spec-driven workflows day-to-day, and contribute back patterns that work.
• Collaborate across boundaries — with product, architecture, vendors, offshore teams, and internal stakeholders.
• Mentor junior engineers through code review, pairing, and design discussions.

What you have

Required Qualification:

• Hands on experience in AI-Assisted Engineering
• Hands-on with GitHub Copilot and/or Claude Code in IDE/CLI workflows.
• Comfortable with spec-driven development — translating designs (class structures, API contracts, data models) into structured prompts that produce production-grade code.
• Uses AI for code, tests, reviews, and automation — with clear ownership of correctness.
• 12+ yrs: Java, Spring, cloud, REST + SOAP web services in high-volume, highly-available environments.
• 4+ yrs: Distributed/NoSQL DBs — PostgreSQL preferred, MongoDB, Yugabyte.
• 4+ yrs: real-time data and streaming.
• 4+ yrs: continuous build (Bamboo, Bitbucket/Git).
• 3+ yrs: GCP and/or AWS/Azure.
• 3+ yrs: event-driven systems (Kafka, RabbitMQ, message queues).
• 3+ yrs: cloud deployment in a CI/CD model.
• 2+ yr: batch / data pipelines (Spring Batch, PySpark).
• Agile + Atlassian stack (JIRA, Confluence).
• Drives features to completion — anticipates risks, proposes solutions.
• Experience collaborating with vendors, offshore teams, and internal stakeholders.
• Strong analytical, problem-solving, and communication skills.

Preferred Qualification:

• Module-level ownership — designs, builds, and supports services with end-to-end responsibility; writes clear technical specs and contributes to architectural discussions.
• Quality and reliability — raises code quality through reviews, automated testing, and operational rigor; treats production stability as a personal commitment.
• Effective communication — delivers concise written and verbal updates; explains technical choices clearly to engineers and non-engineers alike.