Principal Engineer - DevOps - Paze

At Early Warning, we’ve powered and protected the U.S. financial system for over thirty years with cutting-edge solutions like Zelle®, Paze℠, and so much more. As a trusted name in payments, we partner with thousands of institutions to increase access to financial services and protect transactions for hundreds of millions of consumers and small businesses.

Positions located in Scottsdale, San Francisco, Chicago, or New York follow a hybrid work model to allow for a more collaborative working environment.

Candidates responding to this posting must independently possess the eligibility to work in the United States, for any employer, at the date of hire. This position is ineligible for employment Visa sponsorship.

Engineering at Early Warning (EWS) is a blend of teams organized around many different platforms, capabilities and products that are brought together to power core capabilities at the biggest banks in America – this includes ubiquitous products like Zelle, Decision Intelligence and Paze.

These capabilities are enabled by modern, accessible, and responsive user interfaces driven by React and Java.

If you are hungry for large scale challenges and crave opportunities to learn and contribute in a big way on products used by millions of people – we’d love to talk to you!

Overall Purpose Leads the design, development, documentation, testing, debugging, automation, and maintenance of the technical infrastructure required for effective and efficient software development and delivery, e.g. infrastructure as code, CICD patterns, configuration management, and containerized product applications. Ensures platforms are engineered to best-in-class standards with innovation, high availability, and disaster avoidance built in. Defines, drives, and executes the technical strategy of major components of engineering functions. This position is a hands-on, expert-level individual contributor; a technical leader involved in setting the standards, ensuring excellence in quality of outputs across multiple teams, and assuring the scalability and reliability driving the success of Paze.

Essential Functions

• Serves as a technical expert, thought leader, improvement pioneer, and player-coach-mentor working closely with and between leadership and individual contributors to foster a culture of continuous self-improvement and iterative incremental advancement.
• Obsesses about the usability of the systems you build, enabling an intuitive and predictable experience working with infrastructure at scale. Drives innovation with process and technology through simple approaches and solutions that improve product quality and development processes at every step.
• Brings a natural curiosity and deep expertise in troubleshooting complex infrastructure problems, spanning multiple layers of the stack, requiring proficiency in several different tools, tool sets, and methods for rapidly isolating and solving issues.
• Provides technical and process expertise in building and automating cloud-based resources and services across compute, networking, storage, observability, and security leveraging Terraform, Ansible, and other tooling to create highly scalable distributed deployments with built-in reliability.
• Leads infrastructure-as-code, pipeline, and other development projects while leveraging sound engineering fundamentals and best-practice microservice design patterns, to deliver standardized, reliable, and repeatable cloud deployments.
• Designs and implements application service solutions, abstractions, and modularity aligned with our technology strategy to simplify the complexities of cloud providers (AWS), open-source technologies (Kubernetes), and internal EWS infrastructure and services (network, firewall, load balancer, other). Informs cloud-native architecture and design for robustness, security, and observability, prioritizing growth, ease of maintenance, and operational readiness / self-service.
• Possesses a deep understanding of DORA metrics and DOMM, how to assess current state, and how to facilitate and measure improvement.
• Advances the team’s ability to create and operate observable software and pipeline solutions. Ensures healthy and performant pipelines by analyzing results, failures, and bugs to determine causes of errors. Tunes processes and pipelines and builds new automation to fix problems in the code delivery processes, acting as an expert and escalation point for others….