Principal Observability Automation Engineer

As passionate about our people as we are about our mission. Why Join Q2? Q2 is a leading provider of digital banking and lending solutions to banks, credit unions, alternative finance companies, and fintechs in the U.S. and internationally. Our mission is simple: build strong and diverse communities through innovative financial technology—and we do that by empowering our people to help create success for our customers.

Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 Change Makers awards program and global moments of recognition and connection. We invest in the growth and development of our team members through ongoing learning opportunities, internal mobility, and meaningful leadership relationships. We also know that nothing builds trust and collaboration like having fun and giving back together.

From company-wide volunteer days to events like our Q2 Homecoming Week—featuring learning, community service, and culture-building experiences—we create opportunities to connect, grow, and make an impact.

Most engineering roles hand you a slice. A product owner sets the “what,” a manager sets the “how,” and you build your piece inside someone else’s sprint. This is not that role. We don’t build the product our customers log into — we build the factory that builds it, and the systems that detect the moment anything starts to break. When our tooling works, the entire organization finds and fixes customer problems faster.

When it doesn’t, everyone feels it. That is the leverage of this role, and it is why the work sits at the center of how we run reliability. You’ll be handed real business problems — often ambiguous, sometimes dropped on us overnight — and trusted to solve them end to end: shadow the people living the problem, prototype, write the architecture, socialize it with senior and executive leaders, then build it and operationalize it so the team can run it.

You’ll work full-stack, fly independently, and own what you ship. You’ll build things that matter and get used across the entire company. If optimizing a single bolt to a tenth of a millimeter for the next four months sounds like a good year, this isn’t your role. If you’d rather build the thing that goes to Mars, keep reading.

Translate business into solutions — turn ambiguous business needs into architected, detectable, automatable systems — from whiteboard to prototype to production. Extend our agentic AI platform — develop and grow our proprietary, cloud-hosted platform — including locally-hosted models — that powers observability and automated issue detection across the organization. Architect at enterprise scale — design 24/7, cross-region-resilient, business-critical tooling used by teams across the company.

Work across the organization — partner with other principal engineers, support, security, and platform teams to map how systems integrate (CRM / case data, endpoint and security telemetry, cloud infrastructure) and design for the real environment. Modernize high-risk pathways — re-architect legacy access and operations pathways into secure, controlled, self-service tooling with the right guardrails built in. Multiply the team — mentor and up-level a growing bench of junior and mid-level engineers: decompose big problems, hand off well-scoped pieces, and hold the quality bar so what ships is simple, correct, and aimed at the business need.

Own it end to end — including light, event-driven on-call for what you build. This is not a rotation — you’re reachable when something you own breaks, which is rare (typically a handful of times a year).

• Architect and implement advanced observability and automation frameworks across cloud and on-prem environments (AWS, Azure, GCP, VMware)
• Lead the development of full-stack applications and APIs that enable automated data collection, correlation, and visualization
• Define and enforce best practices for system design, code quality, security, and performance
• Collaborate with engineering, Dev Ops, and product teams to identify automation opportunities…