Lead Site Reliability Engineer

Your Opportunity

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

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on-site in the specified location(s).

As a Reliability Engineering Lead within Cross Enterprise Services Site Reliability Engineering, you will drive the reliability, scalability, security, and performance of mission-critical applications and platforms. This is a Lead Individual Contributor (IC) role that requires deep technical expertise, hands-on execution, and the ability to influence engineering decisions across multiple teams.

You will provide hands-on technical leadership across application and infrastructure design, cloud operations, production support, observability, incident management, deployment automation, capacity planning, and operational risk detection. You will partner with engineering, operations, release management, and business stakeholders to deliver secure, scalable, and highly available technology solutions.

Using your strong systems engineering, troubleshooting, and problem-solving skills, you will lead critical incident response efforts, identify and mitigate operational risks, and develop automation solutions that improve efficiency and system reliability. You will also mentor engineers, influence technical direction, and champion modern Site Reliability Engineering (SRE) and AI-driven DevOps practices across the organization.

Key Responsibilities

• Lead reliability, availability, and performance initiatives for enterprise platforms and applications.
• Drive incident management, problem management, root cause analysis, and operational excellence practices.
• Establish and enhance observability standards, monitoring strategies, and service reliability metrics.
• Partner with engineering teams to modernize applications and accelerate cloud adoption.
• Develop and implement automation solutions that reduce manual effort and improve operational efficiency.
• Leverage AI-enabled DevOps capabilities to enhance support processes, monitoring, and platform reliability.
• Influence architecture and engineering decisions across multiple teams.
• Mentor team members and provide technical leadership as a Lead IC without direct people-management responsibilities.
• Support mission-critical systems and ensure a resilient, secure, and scalable production environment.

 Minimum Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 8+ years of experience administering and supporting enterprise technology environments.
• Hands-on experience supporting and troubleshooting large-scale Java and/or .NET production applications in cloud environments.
• 8+ years of experience troubleshooting and supporting .NET or .NET Core applications.
• 5+ years of experience configuring, deploying, supporting, or migrating cloud-based applications.
• Strong expertise in Google Cloud Platform (GCP), observability, incident management, and platform reliability.
• Experience with message-based integration and event-driven architecture.
• Demonstrated experience leveraging AI-driven DevOps practices and automation to improve operational efficiency, application reliability, and platform performance.
• Strong troubleshooting and problem-solving skills with the ability to diagnose critical production issues and implement effective solutions.
• Experience with PowerShell scripting, Windows administration, Windows Server, and IIS.
• Knowledge of software development lifecycle practices and Agile methodologies.
• Proven ability to lead technical initiatives, influence stakeholders, and drive outcomes as a senior individual contributor.

Preferred Qualifications

• Experience applying DevOps practices to automate application deployment, testing, monitoring, and operational support.
• Experience with observability and monitoring platforms such as Splunk, Grafana, AppDynamics, Zabbix, or Nagios.
• Knowledge of distributed systems, microservices, high-availability architectures, and messaging technologies such as Kafka or RabbitMQ.
• Experience with NoSQL technologies such as MongoDB or Aerospike.
• Experience with configuration management and automation tools such as Ansible or SaltStack.
• Experience coaching and mentoring engineers and promoting engineering excellence.
• Financial services industry experience.
• Ability to participate in an on-call rotation and provide after-hours production support as needed.