Manager, Software Development & Engineering - Hybrid

Your opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

Duties: Resolve problems through systematization, and develop high availability and low latency system architectures for trading runtime. Develop predictive analytics and monitoring for trading infrastructure. Develop CI/CD orchestration systems to reduce friction for software delivery to production. Develop tools, frameworks and instrumentation to validate and increase rollout success for applications using best practices and processes. Perform real-time troubleshooting of trading workflows and incorporate feedback to product development. Position allows for 100% remote work. Reports to company HQs in Westlake, TX. Subject to Schwab’s internal approach to workplace flexibility.

Job Location: Westlake, TX

Salary: $149,781 to $195,200 per year

Starting compensation for this location depends on related experience. Annual bonus opportunity and other eligible earnings are not included in the range(s) above. We offer a competitive benefits package, see below for details.

What you have

Job Requirements: Bachelor’s in Computer Science or a related field and 60 months of progressive, post-Bachelor’s experience in a related occupation. Experience must include the following: Develop and maintain automation scripts for application updates, deployment changes, and resolve issues using PowerShell and Python; Perform application configuration, security management, network management, monitor system performance, and troubleshoot server infrastructure in both Windows and Linux environments; Design, deploy, and maintain scalable and reliable resources that includes servers, databases, networking, security, and interconnected resources in cloud environment using AWS and GCP; Manage containerization using Docker and automate deployment through Kubernetes to leverage auto scaling, load balancing, self-healing, rolling updates, and resource management; Design, develop, and maintain robust real-time message streaming using Kafka and IBM MQ to optimize message throughput and minimize latency; Monitor system health, analyze performance metrics, and proactively address application downtime and performance bottlenecks using ITRS, Splunk, and Grafana; and Automate and maintain consistent configuration access across infrastructure using SCCM, Ansible, Puppet, and Salt.