Senior Engineering Manager – Platform Engineering (PL)

Charles Schwab Inc.•Southlake, TX

1d•$160,000 - $215,000•Onsite

About The Position

Schwab Technology Services enables the future of how clients manage their money by providing innovative and reliable technology products and services as part of our ongoing commitment to democratize access to investing and financial planning. The Senior Engineering Manager – Platform Engineering leads the design, delivery, and operation of shared technology platforms that power large‑scale, client‑facing digital applications across web, mobile, and API channels in a financial services environment. This role is responsible for enabling application teams to deliver features rapidly and safely by providing resilient, scalable, and secure platform capabilities that abstract infrastructure complexity and enforce enterprise standards by design. You will lead and grow a team of platform engineers responsible for building enterprise‑grade distributed systems, shared services, and developer enablement tooling. The role requires deep experience building and operating large‑scale distributed applications on the .NET platform, along with the ability to guide architectural decisions, establish engineering standards, and ensure platforms are designed for performance, reliability, and regulatory compliance. As a senior leader, you will own the platform roadmap, balancing immediate delivery needs with long‑term architectural evolution. You will partner closely with application engineering, product, security, and operations teams to support cloud adoption, modernization initiatives, and operational excellence. The platform is expected to scale with client growth while meeting strict availability, security, and governance requirements. The role also emphasizes Cloud and AI enablement, including the responsible adoption of AI‑assisted engineering and operational capabilities to improve developer productivity, automation, and system insight. You will ensure these capabilities are introduced with appropriate guardrails, observability, and risk controls suitable for a regulated enterprise. As a people leader, you will build a high‑performing engineering culture focused on ownership, continuous improvement, and technical excellence. You will coach and develop engineers and senior technical leaders, empower teams to make sound decisions, and ensure consistent, high‑quality delivery of platforms that directly impact client experience and business outcomes.

Requirements

Bachelor’s degree in Computer Science or related field (or equivalent experience).
10+ years of people management experience leading engineering teams (often 10+ engineers) in complex, distributed environments.
10+ years of hands-on engineering experience building resilient, scalable applications/services or providing solution architecture on the .Net platform in large enterprises.
Demonstrated ability to define and communicate strategy, and influence across the enterprise.
Background supporting client-facing digital channels (web/mobile/API ecosystems) where performance, availability, and usability are paramount.
Strong experience with modern software delivery practices (CI/CD, trunk-based development or equivalent), operational ownership, and measurable reliability improvements.
Proven experience in cloud technologies (public cloud and/or hybrid), platform design patterns, and infrastructure automation.
Experience working with AI and large language model (LLM)-based solutions
Experience enabling AI/ML platforms or AI-assisted engineering workflows at scale (guardrails, observability, governance)

Nice To Haves

Prior work in financial services or similarly regulated industries (risk/compliance/change management familiarity).
Familiarity with modern DevEx/IDP tooling, service catalog approaches, and self-service infrastructure.
Proven background in building internal developer platforms (IDPs), paved roads, or self‑service capabilities that improve engineering velocity.
Experience operating in large, matrixed enterprises, balancing multiple stakeholders, priorities, and long‑term strategic goals.
Track record of leading large scale cloud‑native platform transformations (public cloud, hybrid, or multi‑cloud) in large enterprises.
Experience building Agentic AI applications and deployed Gen AI based solutions to production

Responsibilities

Lead and develop a team of platform engineers, including hiring, onboarding, coaching, and career development.
Set clear expectations and goals, track progress, provide continuous feedback, and address performance issues promptly.
Build a culture of ownership where teams can deliver predictably and with high quality, minimizing “manager-directed intervention.”
Define and communicate a platform vision that improves developer productivity and accelerates time-to-market for client-facing features through reusable services, paved roads, and golden paths.
Translate strategic business needs into a prioritized platform roadmap, balancing feature velocity with reliability, resilience, and compliance expectations.
Anticipate consequences and plan for contingencies (capacity, resiliency, vendor/platform changes, regulatory shifts).
Provide technical direction and oversight for system design and architecture, ensuring compatibility with modern cloud architectures and scalable patterns.
Establish repeatable, scalable engineering processes (e.g., migration playbooks, deployment patterns, testing strategies) that improve consistency and quality.
Drive engineering excellence: architecture reviews, operational readiness reviews, incident postmortems, and continuous improvement loops.
Partner with client application teams to ensure platforms meet strict SLAs/SLOs for availability and performance in a highly regulated, performance-sensitive environment.
Lead initiatives that reduce operational overhead and risk through automation, standardization, and self-service.
Improve resiliency through capacity planning, fault tolerance, observability, and incident response maturity.
Embed security controls and compliance requirements into platform capabilities (e.g., identity, secrets, encryption, audit logging, change governance).
Collaborate with risk, security, and governance partners to ensure platform guardrails enable speed without compromising safety and regulatory obligations.
Lead platform capabilities that support cloud adoption and modernization (infrastructure provisioning, CI/CD, runtime platforms, service networking, standardized environments).
Guide the team on best practices for cloud cost, scalability, and platform lifecycle management, leveraging patterns aligned with cloud architectures.
Enable AI-driven engineering workflows where appropriate (e.g., developer copilots, automated quality checks, intelligent incident triage, knowledge retrieval for runbooks).
Provide governance and engineering standards for safe AI use, including model usage patterns, prompt/data hygiene, and operational monitoring—particularly important in financial services.
Build technology foundation for scaling client facing AI use cases.
Manage technical dependencies across multiple teams and initiatives; sequence work to protect delivery timelines.
Build collaborative relationships and influence across a matrixed organization, communicating status, risks, and tradeoffs to technical and non-technical stakeholders.
Drive requirements lifecycle from epics to well-defined stories, acceptance criteria, capacity planning, and backlog readiness.