We are looking for a skilled engineer with disciplines that incorporate aspects of software systems engineering and operations. We are combining these skills to come up with better ways of managing and operating applications.

What you’ll do:

• Champion and evangelize the SRE mindset by driving reliability, scalability, and efficiency through automation, systematization, and AIOps-driven insights.

• Identify opportunities to design and deliver innovative tools that solve complex operational challenges across large-scale, mission-critical enterprise applications.

• Build and maintain automation scripts and intelligent auto-remediation workflows, integrating them into core infrastructure and operations.

• Leverage AIOps techniques (anomaly detection, event correlation, noise reduction, and predictive alerting) to proactively identify and prevent incidents.

• Triage alerts, perform rapid root-cause analysis, and resolve high-severity production issues using data-driven diagnostics and ML-assisted observability platforms.

• Develop tools, frameworks, and instrumentation to validate deployments, improve release confidence, and increase rollout success for applications.

• Evaluate, forecast, and coordinate capacity planning using historical trends, predictive analytics, and AIOps-based capacity insights.

• Design and enhance CI/CD orchestration systems, embedding reliability, policy enforcement, and automated validation to reduce friction in production delivery.

• Perform real-time troubleshooting of mission-critical application workflows and feed operational and AIOps insights back into product and engineering teams.

• Participate in on-call rotations and continuously improve incident response through post-incident analysis, automation, and learning systems.

To ensure that we have fulfilled our promise of "challenging the status quo," this role has specific qualifications that successful candidates should have.

Required Qualifications

• 5–7 years of experience supporting and administering enterprise-scale, production systems.

• 5–7 years of experience developing automation scripts, building observability dashboards, and configuring alerts for proactive issue detection.

• Hands-on experience applying AIOps concepts, including alert correlation, anomaly detection, noise reduction, and predictive analytics in production environments.

• 5–7 years of experience working within the Software Development Lifecycle (SDLC), including process optimization and continuous improvement.

• 3–5 years of experience with public cloud platforms such as GCP, AWS, or Azure (GCP preferred).

• Current working experience with Schwab systems and processes

• Strong hands-on experience with enterprise systems administration, monitoring, deployment, and reliability engineering practices.

• Solid understanding of IP networking fundamentals including DNS, DHCP, firewalls, routing, and load balancing.

• Experience with large-scale distributed systems, high-availability architectures, and fault-tolerant design.

• Proficiency in Linux and Windows system administration, troubleshooting, and performance tuning.

• Development experience in one or more languages such as Python, PowerShell, or Java, with a focus on automation and operational tooling.

• Working knowledge of relational and NoSQL databases such as PostgreSQL, SQL Server, Oracle, or MongoDB.

• Experience supporting or integrating with Actimize platforms.

• Familiarity with messaging and streaming technologies such as Kafka, RabbitMQ, IBM MQ, and Solace.

• Experience with observability and monitoring platforms such as Splunk, Grafana, Datadog, Synthetic Monitoring, and/or AIOps-enabled monitoring tools.

• Bachelor’s degree in Computer Science, Engineering, or a related discipline.

Preferred Qualifications

• Experience implementing or operating AIOps platforms for incident prediction, automated root cause analysis, or self-healing systems.

• Financial services industry experience.

• Familiarity with Agile, DevOps, and SRE best practices.

Personal Skills:

• Strong customer-focused mindset with the ability to proactively own initiatives, communicate clearly, and drive issues to resolution.

• Demonstrated sense of ownership and accountability when solving problems in complex, distributed environments.

• Tenacity and curiosity to deeply investigate system behavior using logs, metrics, traces, and AIOps-driven insights.

• Self-motivated, independent problem-solver who consistently delivers results and shares learnings with the broader team

In addition to the salary range, this role is also eligible for bonus or incentive opportunities