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Skills

Creative Problem Solving
Finance
Collaboration
Systems Engineering
Management
Scalability
Machine Learning (ML)
Instrumentation
Forecasting
Capacity Management
Continuous Integration
Continuous Delivery
Orchestration
Real-time
Workflow
Incident Management
Scripting
Dashboard
Predictive Analytics
Software Development
Software Development Methodology
Process Optimization
Continuous Improvement
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
System Administration
Reliability Engineering
Computer Networking
DNS
Dragon NaturallySpeaking
DHCP
Firewall
Routing
Load Balancing
High Availability
Linux
Microsoft Windows Administration
Performance Tuning
Python
Windows PowerShell
Java
FOCUS
NoSQL
Database
PostgreSQL
Microsoft SQL Server
Oracle
MongoDB
Actimize
Messaging
Streaming
Apache Kafka
RabbitMQ
IBM WebSphere MQ
Splunk
Grafana
Computer Science
Root Cause Analysis
Financial Services
Agile
DevOps
Accountability
Problem Solving

Creative Problem Solving
Finance
Collaboration
Systems Engineering
Management
Scalability
Machine Learning (ML)
Instrumentation
Forecasting
Capacity Management
Continuous Integration
Continuous Delivery
Orchestration
Real-time
Workflow
Incident Management
Scripting
Dashboard
Predictive Analytics
Software Development
Software Development Methodology
Process Optimization
Continuous Improvement
Cloud Computing
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
System Administration
Reliability Engineering
Computer Networking
DNS
Dragon NaturallySpeaking
DHCP
Firewall
Routing
Load Balancing
High Availability
Linux
Microsoft Windows Administration
Performance Tuning
Python
Windows PowerShell
Java
FOCUS
NoSQL
Database
PostgreSQL
Microsoft SQL Server
Oracle
MongoDB
Actimize
Messaging
Streaming
Apache Kafka
RabbitMQ
IBM WebSphere MQ
Splunk
Grafana
Computer Science
Root Cause Analysis
Financial Services
Agile
DevOps
Accountability
Problem Solving

Summary

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.

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.

Our Opportunity:

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.

What you have

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 Google Cloud Platform, AWS, or Azure (Google Cloud Platform 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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90989465
Position Id: 6398c66486974e31a08086f660570d8
Posted 23 minutes ago

Sr AIOps and Incident Management SRE

Hybrid in Austin, Texas

•

Today

Job title: Senior AIOps and Incident Management / Site Reliability Engineering Location: Hybrid Onsite (Fort Mill, SC, Austin TX, Boston, MA, New York, NY, Tempe, AZ, San Diego, CA) Duration: Contract Job Description: We are seeking a Senior AIOps Incident Manager & Site Reliability Engineer to lead incident management, operational resilience, and intelligent automation initiatives across enterprise environments. This role will partner with Network Operations Center (NOC), Infrastructure Operat

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Manager, Software Development & Engineering

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