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Based on 240 similar postings.
Employer
About Q2
Q2 Holdings is a cloud-based banking software company providing digital banking solutions to banks, credit unions, and alternative financial companies, including consumer and business banking platforms. Industry: Financial Technology & Digital Banking
As a Principal Observability Automation Engineer, you will join a team dedicated to building the internal infrastructure and systems that detect and resolve technical failures across the organization. You will translate ambiguous business needs into architected, automatable solutions by developing full-stack applications, APIs, and an agentic AI platform for automated issue detection. Your role involves designing cross-region-resilient tooling, modernizing high-risk pathways into secure self-service tools, and mentoring a growing team of engineers. You will work with technologies including C#, Go, Python, Bash, PowerShell, SQL, NoSQL, Grafana, Splunk, Docker, Terraform, and NGINX across AWS, Azure, GCP, and VMware environments. This role solves the critical problem of ensuring system reliability by creating the "factory" that monitors and maintains the company's core products through advanced observability frameworks and automated data correlation.
Translate ambiguous business requirements into architected, automatable systems from initial prototype to production.
Develop and expand a proprietary agentic AI platform for observability and automated issue detection.
Design and build cross-region resilient, enterprise-scale tooling used by teams across the entire organization.
Re-architect legacy access and operations pathways into secure, self-service tools with integrated guardrails.
Mentor junior and mid-level engineers by decomposing complex problems and maintaining high quality standards.
Manage the full lifecycle of observability platforms, including CI/CD pipelines and infrastructure as code.
Partner with cross-functional teams to map system integrations across CRM data, security telemetry, and cloud infrastructure.
Provide on-call support for owned systems to ensure reliability and rapid incident response.
What we're looking for
Bachelor's degree in Computer Science or related field with 15 years of experience in software engineering, systems automation, or observability tooling.
Advanced degree with 12+ years of experience in software engineering, systems automation, or observability tooling.
Expertise in C#, Go, and scripting languages including Python, Bash, and PowerShell.
Deep understanding of RESTful APIs, microservices architecture, and distributed systems.
Proficiency in SQL and NoSQL databases such as MS SQL Server and Postgres.
Experience with monitoring platforms like Grafana and Splunk, along with CI/CD tools and infrastructure automation like Terraform.
Advanced knowledge of Linux (Red Hat/CentOS) and Windows Server administration.
Must be authorized to work for any employer in the U.S. without sponsorship.
C#
Go
Python
Bash
PowerShell
Perl
RESTful API
CI/CD
Infrastructure as Code
Observability
Grafana
Splunk
Cloud Infrastructure
DevOps
Linux
Windows
Event-driven Automation
AI Platform