Senior Observability Automation Engineer

Q2 Software•Austin, TX

2d•Hybrid

About The Position

This role is unique as it focuses on building the 'factory' that creates the product and the systems that detect issues, rather than just a piece of the product within a sprint. The work is central to reliability, offering the leverage to solve ambiguous business problems end-to-end, from conception to operationalization. The engineer will work full-stack, independently, and own their shipped work, building impactful tools used across the company. The role is for someone who prefers building the 'thing that gets to Mars' over optimizing a single component for an extended period.

Requirements

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 PowerShell
Experience with graphing and analytics tools (Grafana/Splunk)
Fluent written and oral communication in English
Authorized to work for any employer in the U.S.

Responsibilities

Translate business needs into architected, detectable, and automatable systems, from whiteboard to production.
Develop and grow the proprietary, cloud-hosted AI platform for observability and automated issue detection.
Architect 24/7, cross-region-resilient, business-critical tooling for company-wide use.
Partner with other principal engineers, support, security, and platform teams to map system integrations and design for real-world environments.
Re-architect legacy applications and processes into secure, controlled, self-service tooling with built-in guardrails.
Own solutions end-to-end, including light, event-driven on-call responsibilities.
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.