Specialist - Software Development & Engineering

Charles Schwab Inc.•Austin, TX

1d•$40 - $58•Onsite

About The Position

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. 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.

Requirements

1–2 years of experience supporting or administering enterprise-level platforms in a technical role.
1+ years of experience writing automation scripts or building monitoring dashboards and alerts, and current working experience with Schwab systems and processes
Basic understanding of SDLC concepts and operational reliability practices.
Hands-on familiarity with systems administration, monitoring, or deployment activities in Cloud and/or hybrid environments.
Exposure to Windows Server (2022)/Linux hosted via Virtual Machine.
Working knowledge of IP networking concepts including DNS, DHCP, firewalls, and IP routing.
Basic understanding of distributed systems and high-availability concepts.
Linux and/or Windows system administration fundamentals, including troubleshooting and basic performance tuning.
Basic development proficiency in one or more languages: .NET, PowerShell, Java, Python, or Bash.
Exposure to one or more databases: SQL Server, Oracle, or MongoDB.
Exposure to observability and monitoring tools such as Splunk, Grafana, ThousandEyes, Extrahope, Moogsoft or equivalent.
Bachelor’s degree in computer science or related discipline (or equivalent experience).

Nice To Haves

Curiosity about AI/ML operations tooling, AIOps platforms, or ML-assisted observability.
Any exposure to integrating automation with operational workflows.
Financial services industry exposure or awareness of regulatory/compliance environments.
Familiarity with CI/CD tools (Harness, Jenkins, GitHub Actions) or GitOps concepts.
Basic exposure to container orchestration (Kubernetes, OpenShift) or cloud platforms (AWS, Azure, or GCP).
Agile/SAFe methodology experience or coursework.
Exposure to message brokers such as Solace, RabbitMQ, IBM MQ, or Kafka.
Eager learner with strong customer orientation and a desire to see problems through to resolution.
Growing sense of ownership — willing to raise issues, ask questions, and follow through on commitments.
Curiosity and persistence when digging into technical issues in complex environments.
A self-starter who can work independently on well-defined tasks while knowing when to ask for help.
Collaborative communicator who contributes actively to team discussions and documentation

Responsibilities

Contribute to technical execution of team priorities, supporting both operational stability and automation initiatives under guidance of senior engineers.
Assist in investigating and resolving complex technical issues, learning to analyze situations and apply sound judgment to determine appropriate approaches.
Begin developing an SRE mindset by learning to identify and address operational problems systematically.
Participate in production operations support for Cloud and Login Platforms — including incident triage, root cause analysis, and remediation activities.
Triage and respond to alerts under guidance, learning to diagnose and resolve issues with minimal risk and clear communication.
Follow and contribute to standard operational processes, KPIs, and practices that maintain platform availability, reliability, and maintainability.
Build familiarity with processes and controls that meet regulatory and security guidelines applicable to financial institution platforms.
Identify operational inefficiencies and propose improvements, contributing to measurable stability gains.
Participate in on-call support rotation for mission-critical application workflows.
Assist in building and maintaining production automation solutions that reduce manual toil and improve operational throughput.
Learn to leverage AI/ML capabilities to enhance automation pipelines, observability, and proactive operational responses.
Contribute to expanding automation coverage across deployment, monitoring, alerting, and self-healing workflows for Cloud and Login Platforms.
Help build and maintain application dashboards for proactive monitoring and set up alerts for early issue determination.
Develop and maintain tools and instrumentation that support application rollout validation and operational visibility.
Explore and apply AI/ML-based approaches (e.g., anomaly detection, predictive alerting) to improve platform reliability under team guidance.
Support CI/CD pipeline maintenance and contribute to reducing friction in software delivery processes.
Assist with capacity planning activities using data and trend analysis.
Work alongside engineers, platform teams, and business partners to deliver technical solutions aligned with platform objectives.
Document solutions and share learnings to contribute to team knowledge and capability.
Support continuous improvement efforts by contributing to process refinements and efficiency improvements in project deliveries and ongoing support activities.