Careers at Q2Ebanking

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. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers 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. SUMMARY Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. As part of this team, you will build and evolve the systems behind fraud prevention at scale, helping protect nearly two trillion dollars in transactions for millions of users each year. At that scale, improvements in reliability, latency, and engineering efficiency have a meaningful impact on financial institutions and their customers. You’ll work on real-time, cloud-native services while helping modernize and standardize an existing production ecosystem. This role is also an opportunity to help shape how the team uses AI and agentic engineering, leading by doing and finding practical ways to improve how we design, build, test, and operate software. RESPONSIBILITIES • Design, build, and operate reliable, low-latency fraud prevention services and APIs • Work individually and collaboratively to deliver new fraud capabilities and improve existing production systems • Modernize and standardize Python services, shared patterns, development tooling, and engineering practices across the fraud platform • Help advance the team’s use of AI-assisted and agentic software engineering, applying new approaches to improve development speed, quality, and maintainability • Design and operate cloud-native architectures in AWS, including serverless and event-driven systems • Work within and integrate with Q2’s enterprise banking platform, including navigating and modifying C#/.NET integration points when needed Improve observability, testing, deployment practices, and operational reliability across production services • Partner with data scientists, product teams, and other engineers to bring fraud detection capabilities from concept into production • Research new technologies and engineering approaches and apply them where they meaningfully improve the platform • Mentor other engineers and help establish maintainable patterns and strong engineering practices EXPERIENCE AND KNOWLEDGE • Strong experience building and operating production software systems Deep proficiency in Python and experience building maintainable services and APIs • Strong understanding of cloud architecture and experience designing systems in AWS or a comparable cloud platform • Experience with infrastructure as code and modern CI/CD practices • Experience designing distributed, event-driven, or serverless systems • Strong understanding of API design, system integration, reliability, and production observability • Ability to work effectively in large or complex enterprise codebases • Comfortable learning and working across technologies when the problem requires it • Experience with Git-based development workflows and modern Python development tooling • Strong analytical and problem-solving skills • Effective communication skills and ability to collaborate across engineering, data science, and product teams • Interest in using AI-powered and agentic development tools to improve software engineering workflows PREFERRED • Experience with AWS services such as Lambda, DynamoDB, SQS, Kinesis, and S3 • Experience with infrastructure-as-code tools such as CloudFormation, SAM, Terraform, or CDK • Experience modernizing or incrementally improving mature production systems • Experience with banking, payments, fraud prevention, or other high-volume financial systems • Experience integrating modern services with legacy or enterprise platforms • Familiarity with modern Python dependency and build tooling such as UV • Experience working with machine learning systems or real-time model inference • Experience with C#, .NET, Java, or another strongly typed enterprise application framework This position requires fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. Our Culture & Commitment: We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ). We believe in making an impact—in the industry and in the community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers 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. SUMMARY Q2 is seeking an innovative and experienced Senior Software Engineer to join our Digital Banking Fraud team. As part of this team, you will build and evolve the systems behind fraud prevention at scale, helping protect nearly two trillion dollars in transactions for millions of users each year. At that scale, improvements in reliability, latency, and engineering efficiency have a meaningful impact on financial institutions and their customers. You’ll work on real-time, cloud-native services while helping modernize and standardize an existing production ecosystem. This role is also an opportunity to help shape how the team uses AI and agentic engineering, leading by doing and finding practical ways to improve how we design, build, test, and operate software. RESPONSIBILITIES • Design, build, and operate reliable, low-latency fraud prevention services and APIs • Work individually and collaboratively to deliver new fraud capabilities and improve existing production systems • Modernize and standardize Python services, shared patterns, development tooling, and engineering practices across the fraud platform • Help advance the team’s use of AI-assisted and agentic software engineering, applying new approaches to improve development speed, quality, and maintainability • Design and operate cloud-native architectures in AWS, including serverless and event-driven systems • Work within and integrate with Q2’s enterprise banking platform, including navigating and modifying C#/.NET integration points when needed Improve observability, testing, deployment practices, and operational reliability across production services • Partner with data scientists, product teams, and other engineers to bring fraud detection capabilities from concept into production • Research new technologies and engineering approaches and apply them where they meaningfully improve the platform • Mentor other engineers and help establish maintainable patterns and strong engineering practices EXPERIENCE AND KNOWLEDGE • Strong experience building and operating production software systems Deep proficiency in Python and experience building maintainable services and APIs • Strong understanding of cloud architecture and experience designing systems in AWS or a comparable cloud platform • Experience with infrastructure as code and modern CI/CD practices • Experience designing distributed, event-driven, or serverless systems • Strong understanding of API design, system integration, reliability, and production observability • Ability to work effectively in large or complex enterprise codebases • Comfortable learning and working across technologies when the problem requires it • Experience with Git-based development workflows and modern Python development tooling • Strong analytical and problem-solving skills • Effective communication skills and ability to collaborate across engineering, data science, and product teams • Interest in using AI-powered and agentic development tools to improve software engineering workflows PREFERRED • Experience with AWS services such as Lambda, DynamoDB, SQS, Kinesis, and S3 • Experience with infrastructure-as-code tools such as CloudFormation, SAM, Terraform, or CDK • Experience modernizing or incrementally improving mature production systems • Experience with banking, payments, fraud prevention, or other high-volume financial systems • Experience integrating modern services with legacy or enterprise platforms • Familiarity with modern Python dependency and build tooling such as UV • Experience working with machine learning systems or real-time model inference • Experience with C#, .NET, Java, or another strongly typed enterprise application framework This position requires fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. Our Culture & Commitment: We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ). We believe in making an impact—in the industry and in the community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers 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. Our Team The Risk & Fraud team at Q2 is responsible for helping our customers take a proactive stance against fraud and managing the risks of their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value for our customers. Our solutions enable them to focus more of their time and energy on their mission : best serving their customers and communities. The Role In this role, you will work closely with experienced engineers to design, implement, test, and operate cloud-native, data-driven services and applications across Q2’s Fraud Intelligence Platform. This is a production-focused role where you will gradually take on more responsibility as you gain experience working with real-world systems and data. We are looking for engineers who are eager to learn, enjoy working across the stack, and care about building reliable software in environments where quality and correctness matter. You r k ey r esponsibilities: Implement and unit test back-end components and front-end web pages. Create, integrate, and test software solutions of moderate complexity Support, maintain, and resolve issues in production systems . Ensure adherence to all security, confidentiality and privacy policies and controls. Requirements Bachelor’s degree in Computer Science, Information Systems, or equivalent experience; up to 2+ years of related experience. Proficiency in Python, SQL, JavaScript . Web development experience and familiarity with front-end frameworks (e.g., Vue, Angular, React). Understanding of full software development life cycle. Strong analytical, problem-solving, and effective written and verbal communication skills. Experience building applications using a n AWS -native, service-oriented architecture ( for example using RDS, Lambdas, IAM Roles, S3, EKS) This position requires fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. Our Culture & Commitment: We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ). We believe in making an impact—in the industry and in the community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers 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. SUMMARY The Risk & Fraud team at Q2 helps our customers take a proactive stance against fraud while managing the risks inherent to their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value to our customers. Our solutions allow financial institutions to focus more of their time and energy on their mission: serving their customers and communities. As a Machine Learning Engineer, you’ll build and operate the production systems behind fraud detection at scale, helping protect nearly two trillion dollars in transactions for millions of users each year. That scale creates a rare opportunity: small improvements in model performance, latency, or reliability can have a meaningful impact on fraud losses for financial institutions and their customers. You’ll work closely with data scientists and engineers to turn models into reliable, real-time systems and continuously improve how they perform in production. You'll gain hands-on experience working across model development, evaluation, deployment, and ongoing monitoring and improvements. This is an applied role: the software you build will be solving real problems for real customers, and will therefore need to be tested rigorously. RESPONSIBILITIES • Research emerging fraud and abuse patterns and translate that research into new detection approaches • Help build next-generation ML products across identity, behavior, and transaction fraud, partnering directly with customers to understand their needs and shape product direction • Build and optimize real-time , low-latency ML infrastructure, continually improving its reliability, scalability, and performance • Build and maintain systems and pipelines that support training, evaluation, and inference for machine learning models, collaborating with data scientists to productionalize models into scalable applications • Write clean, maintainable, and well-tested code, following production engineering best practices and leveraging the latest AI tooling • Support monitoring and troubleshooting of production ML systems, including data pipelines and model performance You are more likely to excel in the role if you: • Enjoy autonomy in your work and feel a sense of ownership in the team's goals. You work quickly while keeping the big picture in mind • Have empathy for the end user and a desire to measure your work by both the customer value and technical quality • Maintain active interest in the latest ML developments and how they can be applied to solve business problems EXPERIENCE AND KNOWLEDGE • Bachelor’s degree in related field and 2+ years of relevant experience • Proven experience in ML model development and deployment • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies • Proficiency in programming languages such as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • Familiarity with cloud platforms and scalable computing resources • Strong analytical, problem-solving, and collaboration skills NICE TO HAVE • Experience applying machine learning to fraud detection, risk modeling, or a closely related domain • Experience building end-to-end ML systems, from data pipelines and model training through deployment and monitoring, including integrating models into applications at scale • Experience building APIs, backend services, or working with distributed systems • Experience working with large datasets or data processing frameworks • Comfort using AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate and improve engineering work This position requires fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. Our Culture & Commitment: We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ). We believe in making an impact—in the industry and in the community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers 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. SUMMARY The Risk & Fraud team at Q2 helps our customers take a proactive stance against fraud while managing the risks inherent to their business. We build and enhance products that evolve with the ever-changing fraud landscape, delivering tangible value to our customers. Our solutions allow financial institutions to focus more of their time and energy on their mission: serving their customers and communities. As a Machine Learning Engineer, you’ll build and operate the production systems behind fraud detection at scale, helping protect nearly two trillion dollars in transactions for millions of users each year. That scale creates a rare opportunity: small improvements in model performance, latency, or reliability can have a meaningful impact on fraud losses for financial institutions and their customers. You’ll work closely with data scientists and engineers to turn models into reliable, real-time systems and continuously improve how they perform in production. You'll gain hands-on experience working across model development, evaluation, deployment, and ongoing monitoring and improvements. This is an applied role: the software you build will be solving real problems for real customers, and will therefore need to be tested rigorously. RESPONSIBILITIES • Research emerging fraud and abuse patterns and translate that research into new detection approaches • Help build next-generation ML products across identity, behavior, and transaction fraud, partnering directly with customers to understand their needs and shape product direction • Build and optimize real-time , low-latency ML infrastructure, continually improving its reliability, scalability, and performance • Build and maintain systems and pipelines that support training, evaluation, and inference for machine learning models, collaborating with data scientists to productionalize models into scalable applications • Write clean, maintainable, and well-tested code, following production engineering best practices and leveraging the latest AI tooling • Support monitoring and troubleshooting of production ML systems, including data pipelines and model performance You are more likely to excel in the role if you: • Enjoy autonomy in your work and feel a sense of ownership in the team's goals. You work quickly while keeping the big picture in mind • Have empathy for the end user and a desire to measure your work by both the customer value and technical quality • Maintain active interest in the latest ML developments and how they can be applied to solve business problems EXPERIENCE AND KNOWLEDGE • Bachelor’s degree in related field and 2+ years of relevant experience • Proven experience in ML model development and deployment • Strong knowledge of statistics, optimization, probability theory, and experimental methodologies • Proficiency in programming languages such as Python, R, or Java • Experience with ML frameworks/libraries (TensorFlow, PyTorch, scikit-learn) • Familiarity with cloud platforms and scalable computing resources • Strong analytical, problem-solving, and collaboration skills NICE TO HAVE • Experience applying machine learning to fraud detection, risk modeling, or a closely related domain • Experience building end-to-end ML systems, from data pipelines and model training through deployment and monitoring, including integrating models into applications at scale • Experience building APIs, backend services, or working with distributed systems • Experience working with large datasets or data processing frameworks • Comfort using AI-assisted development tools (e.g., Claude Code, Copilot) to accelerate and improve engineering work This position requires fluent written and oral communication in English. Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. Our Culture & Commitment: We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ). We believe in making an impact—in the industry and in the community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status. Applicants in California or Washington State may not be exempt from federal and state overtime requirements

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. What Makes Q2 Special? Being as passionate about our people as we are about our mission. We celebrate our employees in many ways through our year-round Q2 ChangeMakers 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. SUMMARY Oversees a team of engineers to deliver secure and scalable fintech solutions while mentoring team members and ensuring engineering best practices. Builds a culture of ownership and continuous improvement, aligning technical execution to business goals and measurable reliability and performance outcomes. RESPONSIBILITIES • Mentor engineers through coaching, 1:1s, and career planning • Collaborate across Product, Design, and Engineering teams • Drive code reviews, architecture planning, and system monitoring • Manage Agile ceremonies including planning, retrospectives, backlog grooming • Champion innovation and continuous improvement • Support hiring and onboarding of new engineers EXPERIENCE & KNOWLEDGE • 10+ years of related experience • 1-2 years managing and developing employees • Strong Agile delivery and project management experience • Expertise in enterprise software deployment and system reliability • Strong leadership and mentoring track record This position requires fluent written and oral communication in English. Health & Wellness Hybrid Work Opportunities Flexible Time Off Career Development & Mentoring Programs Health & Wellness Benefits, including competitive health insurance offerings and generous paid parental leave for eligible new parents Community Volunteering & Company Philanthropy Programs Employee Peer Recognition Programs – “You Earned it” Click here to find out more about the benefits we offer. Our Culture & Commitment: We’re proud to foster a supportive, inclusive environment where career growth, collaboration, and wellness are prioritized. And our benefits go beyond healthcare—offering resources for physical, mental, and professional well-being. Click here to find out more about the benefits we offer. Q2 employees are encouraged to give back through volunteer work and nonprofit support through our Spark Program ( see more ). We believe in making an impact—in the industry and in the community. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, or veteran status.