Your OpportunityAt 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. 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 Senior Reliability Engineer, you will help shape the reliability, scalability, and operational excellence of mission-critical enterprise platforms that support our clients and business operations. This role blends software engineering, systems engineering, and operational expertise to drive resilient, high-performing technology solutions in complex distributed environments. Working closely with engineering, product, scrum, and operations teams, you will apply Site Reliability Engineering (SRE) principles to improve system availability, accelerate delivery, reduce operational complexity, and strengthen platform observability.
You will play a key role in designing and implementing automation solutions that minimize manual effort, improve operational efficiency, and enhance system reliability at scale. Leveraging modern observability practices, AI/ML-enabled operational capabilities, and proactive monitoring strategies, you will help identify risks, detect anomalies, improve incident response, and support data-driven decision making. Your work will influence platform stability through automation, predictive insights, deployment optimization, rollout validation, capacity planning, and continuous improvement initiatives.
Success in this role requires strong problem-solving skills, sound technical judgment, and the ability to collaborate across teams to address complex operational challenges. You will contribute to the evolution of reliability practices, champion automation-first approaches, support continuous delivery initiatives, and help build systems that enable teams to operate with greater confidence, agility, and efficiency. As part of a highly collaborative environment, you will also participate in incident response and on-call support while helping drive long-term improvements that enhance customer and business outcomes.
What you haveRequired Qualifications- 8+ years of experience supporting and administering enterprise-scale applications, platforms, or infrastructure environments.
- 6+ years of experience developing automation solutions, operational tooling, monitoring dashboards, and alerting frameworks.
- 6+ years of experience applying Software Development Life Cycle (SDLC) practices and driving process improvement initiatives.
- Experience with Site Reliability Engineering (SRE), production operations, system monitoring, deployment management, and operational excellence practices.
- Experience administering and supporting Linux and Windows Server environments, including troubleshooting, performance tuning, and system optimization.
- Experience deploying, supporting, configuring, or migrating cloud-based applications and platforms.
- Knowledge of networking fundamentals including DNS, DHCP, firewalls, routing, and related infrastructure technologies.
- Experience supporting large-scale distributed systems and highly available application architectures.
- Proficiency in one or more programming or scripting languages such as Python, Java, PowerShell, Bash, or .NET.
- Experience working with relational or NoSQL database technologies including SQL Server, Oracle, or MongoDB.
- Knowledge of messaging and event-streaming technologies such as Kafka, RabbitMQ, IBM MQ, or Solace.
- Experience with observability and monitoring platforms such as Splunk, AppDynamics, or similar tools.
- Experience applying AI/ML-powered operational practices, including anomaly detection, predictive alerting, AIOps, or ML-assisted observability capabilities.
- Bachelor's degree in computer science, Information Technology, Engineering, or a related field.
Preferred Qualifications- 8+ years of experience in enterprise technology operations, platform engineering, or reliability engineering.
- Experience within the financial services industry.
- Experience working in Agile environments and cross-functional product teams.
- Hands-on experience with AIOps platforms, intelligent automation solutions, or ML-driven observability tools.
- Experience integrating AI/ML capabilities into operational automation, deployment workflows, or continuous delivery processes.
- Experience with CI/CD technologies such as Jenkins, Harness, GitHub Actions, or similar platforms.
- Experience implementing GitOps practices and infrastructure automation strategies.
- Experience with containerization and orchestration platforms such as Kubernetes or OpenShift.
- Experience supporting cloud platforms such as Google Cloud Platform (Google Cloud Platform), AWS, or Microsoft Azure.
- Demonstrated ability to influence technical strategy, drive operational improvements, and lead reliability-focused initiatives across teams.
In addition to the salary range, this role is eligible for bonus or incentive opportunities.
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