Senior Observability & Automation Architect

q2ebanking; Austin (TX); On-site; USD 180,000 - 250,000; Full time

Job summary

Q2 is seeking an experienced engineer to own end-to-end observability solutions and to expand our AI-powered platform for proactive issue detection. You will work across the organization to design scalable, cross-region tooling, integrating cloud infrastructure and data telemetry.

This role focuses on building reliable systems that impact the entire company. You will translate business needs into robust architectures, lead complex initiatives, and drive performance visibility while collaborating

Qualifications

• Typically requires a Bachelor's degree in Computer Science, Information Systems, or a related field and a minimum of 8 years of related experience; or an advanced degree with 6+ years of experience; or equivalent related work experience
• Expertise in software development and system integration for observability platforms
• Advanced proficiency with monitoring frameworks and analytics tools
• Proficient in at least one of the following languages: C# (preferred) / Go
• Able to consume and develop RESTful API web services
• Extensive experience in cloud infrastructure and DevOps toolchains
• Strong understanding of infrastructure as code and event-driven automation
• Proven track record designing observability systems in high-growth environments
• Ability to lead complex cross-team initiatives and deliver scalable results
• Experience with Linux and Windows scripting, including Bash/Perl/Python and Power

Responsibilities

• Translate business needs into architected, detectable, automatable systems from whiteboard to production
• Extend our AI platform to power observability and automated issue detection
• Architect enterprise-scale tooling that is cross-region resilient and business-critical
• Collaborate with cross-functional teams to map system integrations and design for real-world environments
• Modernize high-risk pathways by re-architecting legacy apps with secure self-service tooling
• Own end-to-end delivery including light on-call responsibilities for what you build
• Architect and implement enterprise-level observability automation solutions
• Lead design and integration of cross-environment telemetry data
• Develop resilient data collection and analytics pipelines
• Build self-service monitoring frameworks for internal teams
• Oversee CI/CD pipeline integration for observability tooling
• Collaborate with cloud, infrastructure, and development teams to drive performance visibility
• Lead performance tuning and incident resolution related to observability systems
• Contribute to security and compliance practices across observability tools
• Support, maintain, and resolve problems for custom features in live production systems, with occasional on-call availability

Skills

Observability platforms

Monitoring frameworks

RESTful APIs

Cloud infrastructure

DevOps toolchains

IaC automation

Linux scripting

Education

Bachelor's degree in CS/IS

Advanced degree (MS/PhD)

Equivalent professional experience

Tools

C#

Go

AWS

Kubernetes

CI/CD pipelines

Job description

Q2 is seeking an experienced engineer to own end-to-end observability solutions and to expand our AI-powered platform for proactive issue detection. You will work across the organization to design scalable, cross-region tooling, integrating cloud infrastructure and data telemetry.

This role focuses on building reliable systems that impact the entire company. You will translate business needs into robust architectures, lead complex initiatives, and drive performance visibility while collaborating