Staff Automation Engineer

Q2•Austin, TX

21h•Hybrid

About The Position

Q2 is seeking an experienced Staff Automation Engineer with a strong focus on automation, engineering productivity, and delivery optimization. This role is responsible for designing and building scalable tools and systems that reduce manual effort, improve delivery efficiency, and enhance overall platform reliability. You will work closely with Engineering, Product, and Delivery teams to identify high-effort, repetitive workflows and transform them into automated, scalable solutions. This includes refactoring legacy systems, building internal platforms, and integrating intelligent (AI-assisted) capabilities to streamline implementation, troubleshooting, and operational workflows. This is a hands-on technical leadership role for someone who can identify inefficiencies, architect solutions, and deliver systems that materially improve how teams build and deliver software.

Requirements

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field
8+ years of experience in software engineering with a focus on backend systems, automation, or platform/tool development
Strong proficiency in Python (or similar language) and SQL
Proven experience building automation tools, internal platforms, or developer productivity solutions
Strong experience in code refactoring, system optimization, and improving legacy codebases
Deep expertise in debugging, troubleshooting, and performance tuning of production systems
Experience designing and working with APIs, microservices, and distributed systems
Solid understanding of software development lifecycle (SDLC) and engineering best practices
Experience working in Agile/Scrum environments
Strong problem-solving mindset with focus on efficiency, simplification, and scalability
Fluent written and oral communication in English
Authorized to work for any employer in the U.S.

Nice To Haves

Experience automating delivery or implementation workflows (e.g., onboarding, configuration, troubleshooting, support flows)
Familiarity with ETL pipelines and data processing systems
Experience with CI/CD pipelines, developer tooling, and engineering productivity platforms
Exposure to AI/LLM-based tooling, including prompt-driven automation or workflow augmentation
Familiarity with agentic workflows or orchestration frameworks
Experience with cloud platforms (AWS, GCP, Azure)
Knowledge of observability, logging, and monitoring systems
Familiarity with MVVM and front-end frameworks (Vue, Angular, React)
Experience with test automation frameworks and auto-mocking tooling
Practical experience with multiple design patterns and SOLID principles
Strong communication, coordination, and decision-making skills
Domain experience in the banking industry is a plus

Responsibilities

Design and build automation solutions and internal tools to streamline delivery workflows and reduce manual effort across implementation and engineering teams
Own and drive refactoring and modernization of existing systems to improve scalability, maintainability, and performance
Identify high-effort, repetitive processes in delivery and engineering workflows and convert them into reusable, scalable solutions
Architect and develop backend services, APIs, and data workflows supporting automation and platform capabilities
Lead resolution of complex production issues, performing deep root-cause analysis and implementing systemic, long-term fixes
Build and maintain data pipelines and processing systems to support automation, analytics, and intelligent workflows
Integrate AI/LLM-based capabilities where relevant to enhance automation, troubleshooting, and developer productivity
Ensure high standards of code quality, security, testing, and reliability across systems
Collaborate cross-functionally with Product, Engineering, and Delivery stakeholders to drive adoption of automation solutions
Mentor engineers and promote best practices in code quality, system design, and scalable engineering patterns