> Markdown version of [/jobs/ext/3709047-site-reliability-engineer-sre](https://www.wearedevelopers.com/jobs/ext/3709047-site-reliability-engineer-sre). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Site Reliability Engineer ( SRE) - **Company:** TD Ameritrade - **Location:** Austin, TX, United States - **Experience:** Expert - **Salary:** $130,000.0 - $175,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), .NET Framework, Agile Methodology, Artificial Intelligence, Amazon Web Services, Applications Architecture, Microsoft Azure, Bash Shell, Software as a Service, Software Code Optimization, Computer Programming, Databases, System Configuration, Continuous Delivery, Continuous Integration, Dynamic Host Configuration Protocol, Linux, Distributed Systems, Domain Name System (DNS), Github, Monitoring of Systems, IBM WebSphere MQ, Python (Programming Language), Machine Learning, Microsoft SQL Server, Windows Servers, MongoDB, Networking Basics, NoSQL, OpenShift, Oracle (Applications), Performance Tuning, Windows PowerShell, RabbitMQ, Reliability Engineering, Software Engineering, Scripting, Google Cloud, Delivery Pipeline, Grafana, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Apache Kafka, Video Streaming, Splunk, AIOps, Appdynamics, Jenkins - **Published:** October 13, 2026 - **Apply:** https://www.schwabjobs.com/financial-consultant-academy-opportunity-branch-network ## About the Role 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., * 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., * 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 (GCP), AWS, or Microsoft Azure. * Demonstrated ability to influence technical strategy, drive operational improvements, and lead reliability-focused initiatives across teams.