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Careers at Q2Ebanking

Browse and filter through all verified positions currently open at Q2Ebanking.

Total Company Roles16
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All Openings (16)

Ordered by most recently published

Intermediate Software Engineer

On-sitefull timeMid-LevelBengaluru, India
Apply Now

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 ambitious and adaptable Software Developer with hands-on experience in team-based development. In this role, you will actively contribute to the design, development, implementation, and support of custom software solutions across the Q2 platform. You will work on both front-end and back-end components, integrating with internal systems and external services, ensuring that every solution is robust, scalable, and aligned with business needs. This role offers the opportunity to deepen your technical expertise while collaborating closely with peers, gaining exposure to a variety of technologies, and learning how to deliver high-quality software in a dynamic and fast-paced environment. RESPONSIBILITIES • Design, implement, integrate, and test software solutions of moderate complexity. • Deliver solutions in live production systems individually and collaboratively. • Support and maintain custom features, with occasional on-call availability. • Ensure adherence to security, availability, confidentiality, and privacy policies. • Assist and mentor teammates, providing technical guidance and best practices. EXPERIENCE AND KNOWLEDGE • Bachelor’s degree in Computer Science or related field; 2+ years of relevant experience (or advanced degree without experience). • Proficiency in Python and SQL; web development experience. • Knowledge of full software development life cycle and service-oriented architecture. • Strong analytical, problem-solving, and communication skills. • Experience contributing in an Agile development environment. • Occasional availability for on-call/emergency support; ability to work flexible 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.

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Software EngineeringVia Workday
Verified1 day ago

Senior Machine Learning Engineer

Remotefull timeSeniorCanada (Remote)
Apply Now

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. The Job At-A-Glance: Join a fast-growing AI engineering team building the next generation of intelligent products for the financial services industry. As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform. From evaluation frameworks, deployment pipelines, and microservice-based AI capabilities to next-generation agentic workflows, you'll have the opportunity to work across the stack, prototype new ideas, and turn innovation into real customer value. We're looking for engineers who are passionate about technology, committed to building high-quality, enterprise-grade software, and who thrive in collaborative environments. The ideal candidate stays current with the rapidly evolving AI landscape, enjoys solving meaningful problems, and is excited to help build innovative solutions alongside a team that values creativity, ownership, continuous learning, and shipping great products. A Typical Day: Build, test, and optimize production-ready LLM agents leveraging multi-step reasoning, prompt engineering, retrieval, memory, and tool-calling capabilities. Develop scalable evaluation pipelines (Evals) to continuously measure accuracy, task completion, latency, cost efficiency, safety, and hallucination rates. Integrate agentic workflows with external platforms, vector databases, microservices, MCP, and internal APIs to enable reliable context retrieval and automated action-taking. Fine-tune domain-specific LLMs using modern adaptation techniques like supervised fine-tuning (SFT), LoRA/PEFT, and preference optimization to maximize performance. Productionize AI services across cloud and backend architecture, implementing security guardrails, observability, and robust deployment pipelines. Track production metrics to identify data drift, manage feedback loops, implement retuning strategies, and systematically upgrade model and prompt performance. Partner with product, data, and engineering teams to prototype emerging AI tech, navigate technical tradeoffs, and scale early-stage concepts into enterprise-grade software. Bring Your Passion, Do What You Love. Here’s What We’re Looking For: Bachelor’s degree in a relevant field with 5+ years of related experience, an advanced degree with 3+ years of experience, or equivalent practical work experience. 5+ years of professional software/ML/AI engineering experience with demonstrated ownership of production systems. Proficiency in Python is required, alongside experience with backend languages (such as C#, Java, TypeScript) to build robust APIs, microservices, and data integrations. Hands-on experience developing modern AI patterns, including LLM applications, retrieval-augmented generation (RAG), agentic workflows, multi-step reasoning, and model/tool integration. Proven track record building and operating AI/ML systems in production, including model evaluation frameworks (Evals), monitoring, safety guardrails, continuous retuning, and observability. Experience deploying and scaling cloud-native infrastructure, containers, and automated pipelines. Familiarity with Docker, Kubernetes, and MLOps practices is highly valued. Ability and willingness to work across the full stack—bridging AI models, backend services, cloud infrastructure, data pipelines, and application interfaces. Strong sense of ownership, technical curiosity, and comfort navigating ambiguity to establish best practices in an evolving AI landscape. 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.

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AI / ML & Data ScienceVia Workday
Verified4 days ago

Senior Machine Learning Engineer

On-sitefull timeSeniorAustin, United States
Apply Now

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. The Job At-A-Glance: Join a fast-growing AI engineering team building the next generation of intelligent products for the financial services industry. As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform. From evaluation frameworks, deployment pipelines, and microservice-based AI capabilities to next-generation agentic workflows, you'll have the opportunity to work across the stack, prototype new ideas, and turn innovation into real customer value. We're looking for engineers who are passionate about technology, committed to building high-quality, enterprise-grade software, and who thrive in collaborative environments. The ideal candidate stays current with the rapidly evolving AI landscape, enjoys solving meaningful problems, and is excited to help build innovative solutions alongside a team that values creativity, ownership, continuous learning, and shipping great products. A Typical Day: Build, test, and optimize production-ready LLM agents leveraging multi-step reasoning, prompt engineering, retrieval, memory, and tool-calling capabilities. Develop scalable evaluation pipelines (Evals) to continuously measure accuracy, task completion, latency, cost efficiency, safety, and hallucination rates. Integrate agentic workflows with external platforms, vector databases, microservices, MCP, and internal APIs to enable reliable context retrieval and automated action-taking. Fine-tune domain-specific LLMs using modern adaptation techniques like supervised fine-tuning (SFT), LoRA/PEFT, and preference optimization to maximize performance. Productionize AI services across cloud and backend architecture, implementing security guardrails, observability, and robust deployment pipelines. Track production metrics to identify data drift, manage feedback loops, implement retuning strategies, and systematically upgrade model and prompt performance. Partner with product, data, and engineering teams to prototype emerging AI tech, navigate technical tradeoffs, and scale early-stage concepts into enterprise-grade software. Bring Your Passion, Do What You Love. Here’s What We’re Looking For: Bachelor’s degree in a relevant field with 5+ years of related experience, an advanced degree with 3+ years of experience, or equivalent practical work experience. 5+ years of professional software/ML/AI engineering experience with demonstrated ownership of production systems. Proficiency in Python is required, alongside experience with backend languages (such as C#, Java, TypeScript) to build robust APIs, microservices, and data integrations. Hands-on experience developing modern AI patterns, including LLM applications, retrieval-augmented generation (RAG), agentic workflows, multi-step reasoning, and model/tool integration. Proven track record building and operating AI/ML systems in production, including model evaluation frameworks (Evals), monitoring, safety guardrails, continuous retuning, and observability. Experience deploying and scaling cloud-native infrastructure, containers, and automated pipelines. Familiarity with Docker, Kubernetes, and MLOps practices is highly valued. Ability and willingness to work across the full stack—bridging AI models, backend services, cloud infrastructure, data pipelines, and application interfaces. Strong sense of ownership, technical curiosity, and comfort navigating ambiguity to establish best practices in an evolving AI landscape. 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

View more...
AI / ML & Data ScienceVia Workday
Verified4 days ago

Senior Machine Learning Engineer

On-sitefull timeSeniorNorth Carolina, United States
Apply Now

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. The Job At-A-Glance: Join a fast-growing AI engineering team building the next generation of intelligent products for the financial services industry. As a Machine Learning Engineer, you'll design and deliver production-ready AI solutions, develop the tools, APIs, and backend services that enable them, and help shape the future of our AI platform. From evaluation frameworks, deployment pipelines, and microservice-based AI capabilities to next-generation agentic workflows, you'll have the opportunity to work across the stack, prototype new ideas, and turn innovation into real customer value. We're looking for engineers who are passionate about technology, committed to building high-quality, enterprise-grade software, and who thrive in collaborative environments. The ideal candidate stays current with the rapidly evolving AI landscape, enjoys solving meaningful problems, and is excited to help build innovative solutions alongside a team that values creativity, ownership, continuous learning, and shipping great products. A Typical Day: Build, test, and optimize production-ready LLM agents leveraging multi-step reasoning, prompt engineering, retrieval, memory, and tool-calling capabilities. Develop scalable evaluation pipelines (Evals) to continuously measure accuracy, task completion, latency, cost efficiency, safety, and hallucination rates. Integrate agentic workflows with external platforms, vector databases, microservices, MCP, and internal APIs to enable reliable context retrieval and automated action-taking. Fine-tune domain-specific LLMs using modern adaptation techniques like supervised fine-tuning (SFT), LoRA/PEFT, and preference optimization to maximize performance. Productionize AI services across cloud and backend architecture, implementing security guardrails, observability, and robust deployment pipelines. Track production metrics to identify data drift, manage feedback loops, implement retuning strategies, and systematically upgrade model and prompt performance. Partner with product, data, and engineering teams to prototype emerging AI tech, navigate technical tradeoffs, and scale early-stage concepts into enterprise-grade software. Bring Your Passion, Do What You Love. Here’s What We’re Looking For: Bachelor’s degree in a relevant field with 5+ years of related experience, an advanced degree with 3+ years of experience, or equivalent practical work experience. 5+ years of professional software/ML/AI engineering experience with demonstrated ownership of production systems. Proficiency in Python is required, alongside experience with backend languages (such as C#, Java, TypeScript) to build robust APIs, microservices, and data integrations. Hands-on experience developing modern AI patterns, including LLM applications, retrieval-augmented generation (RAG), agentic workflows, multi-step reasoning, and model/tool integration. Proven track record building and operating AI/ML systems in production, including model evaluation frameworks (Evals), monitoring, safety guardrails, continuous retuning, and observability. Experience deploying and scaling cloud-native infrastructure, containers, and automated pipelines. Familiarity with Docker, Kubernetes, and MLOps practices is highly valued. Ability and willingness to work across the full stack—bridging AI models, backend services, cloud infrastructure, data pipelines, and application interfaces. Strong sense of ownership, technical curiosity, and comfort navigating ambiguity to establish best practices in an evolving AI landscape. 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

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AI / ML & Data ScienceVia Workday
Verified4 days ago

Lead Quality Assurance Engineer(2PM-12AM IST)

On-sitefull timeLead / StaffBengaluru, India
Apply Now

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. Q2 is seeking an experienced Lead Quality Assurance to work for our team of innovators. We expect this role to support in afternoon shift hrs from 2pm IST to 12am IST. Our team delivers online banking web and mobile software with high-quality technology solutions that enable financial institutions and their customers to securely communicate and transact anytime and anywhere via online banking, mobile banking, and voice banking. Our culture understands, respects, and appreciates different people, ideas, and cultures. We are all high-performing self-starters with the spirit of endless possibility in approaching every new idea and challenge. We work hard but believe in keeping Q2 fun, relaxed, casual, and highly creative. Come join us in our mission to build stronger and more diverse communities by strengthening their financial institutions. Work with developers, business analysts, Implementation engineers, Project managers and other stakeholders to understand the goals and deliverables of each project and how it relates to our industry and our product’s standard functionality. Working along with Banking and Finance Industry is past is considered a plus Proficient in Test Planning, Overseeing and Leading the Project, Reviewing Test documentation, Reporting, Collaboration with stake holders, creating tracking Metrix Create, manage, execute, and maintain test cases Execute automated test cases, provide results, and create resulting defects with diagnostic information for proper triage Setup and maintain test environments and test automation. Work with developers to explain test outcomes and guide them to understanding exit criteria. Ability to focus on detail while also exercising pragmatism to keep up with project deadlines Participate in and contribute test effort estimates in Sprint/Release planning sessions Be passionate about driving product quality throughout the product line Defect Tracking, classification, priority, severity justification should be strong Experience in functionality testing Maintain documentation of test results and prepare detailed reports on findings. Ensure compliance with national and international quality standards. Stay up to date with new testing tools and test strategies. Experience & Knowledge: Four-year college degree in Software Engineering, Computer Science or related technical disciplines and 8+ years’ experience and /or equivalent relevant work experience. Strong experience with Test Plans, and Testing Methodology Strong experience in testing web-based software solutions (both front end and back-end services) Experience with Python and SQL is considered a plus Experience with Automation tools such as Selenium with Python/JavaScript is considered a plus Strong test case management skills (Create, Execute, Report, Revise, Repeat) Strong experience debugging complex web applications issues through code review and detailed logs Excellent communication and teaming skills especially with highly technical team members Strong test plan organization and test execution planning skills in a CI and Agile environment Experience working in small, highly efficient teams with a high degree of collaboration process Passionate about the work, proactive work ethic, and has a highly motivated attitude to provide excellence in software quality Experience with version control systems such as Gitlab/ Bitbucket Experience with debugging and tracking quality assurance metrics. Experience with SAAS is highly desired Strong analytical and problem-solving skills. Ability to work flexible hours when necessary for deadlines ISTQB certification is a plus 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.

View more...
QA & AutomationVia Workday
Verified8 days ago

Software Engineer - Automation

On-sitefull timeMid-LevelAustin, United States
Apply Now

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. Why this role 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 role starts one step earlier — before the problem even has a name. We don’t build the product our customers log into. We build the tools that make the whole company faster, and the systems that catch a problem before a customer ever feels it. When what we build works, everyone ships and resolves faster. When it doesn’t, everyone feels it. At the Principal level, you own that leverage for the whole org: you decide what should exist, and you build it. Here is how the work actually starts. Sometimes a friction point lands overnight and someone has to own it end to end by morning. More often, nobody has named the problem yet — and you are the one who sees it, frames it so the rest of us understand it, and sets the direction we build toward. You dig into an ambiguous system until you understand it better than the people living inside it, then you reach for code, AI, and systems to remove or replace the bottleneck — not to optimize around it. What you ship did not exist before, scales across the company, and becomes something other engineers build on. This is blue-water work. There is frequently no tool to configure, no vendor to call, and no best practice to copy — the thing does not exist yet, and your job is to invent it, then make it something the org can run without you. If your best year would be spent tuning one system a few percent faster, you will be bored here. If you’d rather build the thing that goes to Mars — and you’ve already been the person whose designs your org couldn’t ship fast enough — keep reading. What you’ll do Decide what should exist. Find the highest-leverage problem no one has scoped yet, frame it so engineers and executives both get it, and set the technical direction the team aligns to. Build it end to end. Whiteboard, prototype, architecture, production — you take ambiguous problems (sometimes the overnight fire-drill) all the way to something operable, and you can still go deep in code when it matters. Build with AI as a first-class tool. Extend our in-house, cloud-hosted agentic AI platform — including self-hosted models that already resolve a meaningful share of alerts with no human in the loop — and use it to make previously impractical problems tractable. Replace bottlenecks, don’t optimize them. Re-architect the risky, manual pathways people fight today into secure, self-service tools with the right guardrails and audit built in. Multiply the org. Create the platforms, patterns, and standards other engineers build on; decompose big problems and hand off well-scoped pieces; grow a bench of builders and hold the quality bar on work you didn’t write — so you’re free to go work the next hard thing. Make the work legible. Socialize designs with senior leaders, defend an architecture to a room of principals and to the exec team in the same afternoon, and keep plans and outcomes visible as you go — real influence, not death by process. Own what you ship. Including light, event-driven on-call for the things you build — not a rotation for systems you didn’t. What we’re looking for A builder’s track record at scale. You’ve shipped tools and platforms others now depend on — things that didn’t exist before you built them, used well beyond your own team. Systems you can hold in your head. You reverse-engineer and understand complex, cross-team systems before you change them. AI as a build accelerant. Fluency with LLMs, agents, and self-hosted models, and the judgment to know where they create leverage and where they don’t. Force multiplication. You can name specific engineers you’ve made materially better, and patterns or platforms others now build on. Strong, general engineering ability. Full-stack and production-quality. We work primarily in C# and Go, with Python everywhere — we care that you can build, not that you’ve memorized our stack. Friction as opportunity. You can’t leave a normalized bottleneck alone. EXPERIENCE AND KNOWLEDGE • Typically requires a Bachelor’s degree in Computer Science, Information Systems, or a related field and a minimum of 5 years of related experience; or an advanced degree with 3+ years of experience; or equivalent related work experience • Strong proficiency in backend and scripting languages (C#, Go, Python) • Experience building and consuming APIs at scale • Knowledge of containerized applications and cloud-native environments • Advanced experience with Grafana, Splunk, and telemetry pipelines • Familiarity with public cloud platforms (AWS, GCP, Azure) • Experience designing self-service tools for observability data access • Strong troubleshooting skills across OS, app, and network layers • Knowledge of Microsoft Internet Information Services and/or NGINX websites • Knowledge and troubleshooting of Linux operating systems, particularly Red Hat or CentOS 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

View more...
Software EngineeringVia Workday
Verified11 days ago

Senior Software Engineer - Automation

On-sitefull timeSeniorAustin, United States
Apply Now

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. Why this role 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 role starts one step earlier — before the problem even has a name. We don’t build the product our customers log into. We build the tools that make the whole company faster, and the systems that catch a problem before a customer ever feels it. When what we build works, everyone ships and resolves faster. When it doesn’t, everyone feels it. At the Principal level, you own that leverage for the whole org: you decide what should exist, and you build it. Here is how the work actually starts. Sometimes a friction point lands overnight and someone has to own it end to end by morning. More often, nobody has named the problem yet — and you are the one who sees it, frames it so the rest of us understand it, and sets the direction we build toward. You dig into an ambiguous system until you understand it better than the people living inside it, then you reach for code, AI, and systems to remove or replace the bottleneck — not to optimize around it. What you ship did not exist before, scales across the company, and becomes something other engineers build on. This is blue-water work. There is frequently no tool to configure, no vendor to call, and no best practice to copy — the thing does not exist yet, and your job is to invent it, then make it something the org can run without you. If your best year would be spent tuning one system a few percent faster, you will be bored here. If you’d rather build the thing that goes to Mars — and you’ve already been the person whose designs your org couldn’t ship fast enough — keep reading. What you’ll do Decide what should exist. Find the highest-leverage problem no one has scoped yet, frame it so engineers and executives both get it, and set the technical direction the team aligns to. Build it end to end. Whiteboard, prototype, architecture, production — you take ambiguous problems (sometimes the overnight fire-drill) all the way to something operable, and you can still go deep in code when it matters. Build with AI as a first-class tool. Extend our in-house, cloud-hosted agentic AI platform — including self-hosted models that already resolve a meaningful share of alerts with no human in the loop — and use it to make previously impractical problems tractable. Replace bottlenecks, don’t optimize them. Re-architect the risky, manual pathways people fight today into secure, self-service tools with the right guardrails and audit built in. Multiply the org. Create the platforms, patterns, and standards other engineers build on; decompose big problems and hand off well-scoped pieces; grow a bench of builders and hold the quality bar on work you didn’t write — so you’re free to go work the next hard thing. Make the work legible. Socialize designs with senior leaders, defend an architecture to a room of principals and to the exec team in the same afternoon, and keep plans and outcomes visible as you go — real influence, not death by process. Own what you ship. Including light, event-driven on-call for the things you build — not a rotation for systems you didn’t. What sets a Principal apart here At this level, raw building is not the differentiator — with modern AI, strong engineers can produce in any stack. What separates a Principal is business translation and a company-scale mental map, plus the shift from out-building your peers to multiplying them. You find the problem no one has named, understand it more deeply than the people living it, turn “here’s what I want” into “here’s what you actually need,” and set a direction the org builds on. You’ve started making yourself replaceable on execution — because your time is worth more on the next unscoped problem. A great Senior out-builds the room; a Principal changes what the room can build. What we’re looking for A builder’s track record at scale. You’ve shipped tools and platforms others now depend on — things that didn’t exist before you built them, used well beyond your own team. Systems you can hold in your head. You reverse-engineer and understand complex, cross-team systems before you change them. AI as a build accelerant. Fluency with LLMs, agents, and self-hosted models, and the judgment to know where they create leverage and where they don’t. Force multiplication. You can name specific engineers you’ve made materially better, and patterns or platforms others now build on. Strong, general engineering ability. Full-stack and production-quality. We work primarily in C# and Go, with Python everywhere — we care that you can build, not that you’ve memorized our stack.Friction as opportunity. You can’t leave a normalized bottleneck alone. EXPERIENCE AND KNOWLEDGE 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) 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

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Software EngineeringVia Workday
Verified12 days ago

Principal Software Engineer - Automation

On-sitefull timeLead / StaffAustin, United States
Apply Now

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. Why this role 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 role starts one step earlier — before the problem even has a name. We don’t build the product our customers log into. We build the tools that make the whole company faster, and the systems that catch a problem before a customer ever feels it. When what we build works, everyone ships and resolves faster. When it doesn’t, everyone feels it. At the Principal level, you own that leverage for the whole org: you decide what should exist, and you build it. Here is how the work actually starts. Sometimes a friction point lands overnight and someone has to own it end to end by morning. More often, nobody has named the problem yet — and you are the one who sees it, frames it so the rest of us understand it, and sets the direction we build toward. You dig into an ambiguous system until you understand it better than the people living inside it, then you reach for code, AI, and systems to remove or replace the bottleneck — not to optimize around it. What you ship did not exist before, scales across the company, and becomes something other engineers build on. This is blue-water work. There is frequently no tool to configure, no vendor to call, and no best practice to copy — the thing does not exist yet, and your job is to invent it, then make it something the org can run without you. If your best year would be spent tuning one system a few percent faster, you will be bored here. If you’d rather build the thing that goes to Mars — and you’ve already been the person whose designs your org couldn’t ship fast enough — keep reading. What you’ll do Decide what should exist. Find the highest-leverage problem no one has scoped yet, frame it so engineers and executives both get it, and set the technical direction the team aligns to. Build it end to end. Whiteboard, prototype, architecture, production — you take ambiguous problems (sometimes the overnight fire-drill) all the way to something operable, and you can still go deep in code when it matters. Build with AI as a first-class tool. Extend our in-house, cloud-hosted agentic AI platform — including self-hosted models that already resolve a meaningful share of alerts with no human in the loop — and use it to make previously impractical problems tractable. Replace bottlenecks, don’t optimize them. Re-architect the risky, manual pathways people fight today into secure, self-service tools with the right guardrails and audit built in. Multiply the org. Create the platforms, patterns, and standards other engineers build on; decompose big problems and hand off well-scoped pieces; grow a bench of builders and hold the quality bar on work you didn’t write — so you’re free to go work the next hard thing. Make the work legible. Socialize designs with senior leaders, defend an architecture to a room of principals and to the exec team in the same afternoon, and keep plans and outcomes visible as you go — real influence, not death by process. Own what you ship. Including light, event-driven on-call for the things you build — not a rotation for systems you didn’t. What sets a Principal apart here At this level, raw building is not the differentiator — with modern AI, strong engineers can produce in any stack. What separates a Principal is business translation and a company-scale mental map, plus the shift from out-building your peers to multiplying them. You find the problem no one has named, understand it more deeply than the people living it, turn “here’s what I want” into “here’s what you actually need,” and set a direction the org builds on. You’ve started making yourself replaceable on execution — because your time is worth more on the next unscoped problem. A great Senior out-builds the room; a Principal changes what the room can build. What we’re looking for A builder’s track record at scale. You’ve shipped tools and platforms others now depend on — things that didn’t exist before you built them, used well beyond your own team. Systems you can hold in your head. You reverse-engineer and understand complex, cross-team systems before you change them. AI as a build accelerant. Fluency with LLMs, agents, and self-hosted models, and the judgment to know where they create leverage and where they don’t. Force multiplication. You can name specific engineers you’ve made materially better, and patterns or platforms others now build on. Strong, general engineering ability. Full-stack and production-quality. We work primarily in C# and Go, with Python everywhere — we care that you can build, not that you’ve memorized our stack.Friction as opportunity. You can’t leave a normalized bottleneck alone. RESPONSIBILITIES 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, DevOps, and product teams to identify automation opportunities and deliver scalable solutions Drive continuous improvement in monitoring, alerting, and incident response systems Mentor senior and mid-level engineers, fostering a culture of technical excellence and innovation Own the lifecycle of observability tools and platforms, including CI/CD pipelines, configuration management, and infrastructure as code Ensure compliance with security, availability, confidentiality, and privacy policies Participate in strategic planning, roadmap development, and technical decision-making EXPERIENCE AND KNOWLEDGE Bachelor’s degree in Computer Science or related field with 15 years of experience in software engineering, systems automation, or observability tooling; or an advanced degree with 12+ years of experience; or equivalent related work experience Expertise in C# (preferred), Go, and scripting languages (Python, Bash, PowerShell) Deep understanding of RESTful APIs, microservices architecture, and distributed systems Proficient in SQL and NoSQL databases (MS SQL Server, Postgres) Strong experience with monitoring and analytics platforms (Grafana, Splunk) Hands-on experience with CI/CD tools and practices Advanced knowledge of Linux (Red Hat/CentOS) and Windows Server administration Experience with containerization (Docker), orchestration, and infrastructure automation (Terraform) Proven ability to lead complex technical projects and influence cross-functional teams. Excellent communication and leadership skills Experience with NGINX, IIS, and public cloud datacenter operations preferred 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

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Software EngineeringVia Workday
Verified12 days ago

2027 Summer Internship - Machine Learning Engineer

On-siteinternshipInternshipAustin, United States
Apply Now

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. Projects You Could Work On You'll get exposure across the full lifecycle of applied ML — from model development and evaluation to deployment, monitoring, and improvement — on software that solves real problems for real customers. Recent intern projects on this team and others have included enhancing our Iso Framework, building data pipelines for operational insights, and researching new approaches to emerging problems. What You'll Do Support research into emerging fraud and abuse patterns, and help translate findings into new detection ideas Help build and test features for ML products across identity, behavior, and transaction fraud Assist in building and maintaining pipelines that support training, evaluation, and inference of ML models Write clean, well-tested code alongside engineers, using modern AI-assisted development tools Help monitor and troubleshoot production ML systems, including data pipelines and model performance What You'll Bring Currently pursuing a degree in Computer Science, Data Science, Machine Learning, or a related field Coursework or project experience with Python (R or Java a plus) Exposure to ML frameworks or libraries such as TensorFlow, PyTorch, or scikit-learn Foundational knowledge of statistics, probability, or experimental methods Strong analytical thinking, curiosity, and a collaborative mindset Nice to Have Coursework or personal projects involving fraud detection, risk modeling, or similar domains Exposure to APIs, backend services, or working with large datasets Comfort using AI-assisted development tools (e.g., Claude Code) 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. 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

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AI / ML & Data ScienceVia Workday
Verified14 days ago

2027 Summer Internship - Software Engineer

On-siteinternshipInternshipAustin, United States
Apply Now

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. Projects You Could Work On Our interns don't work on hypotheticals — recent projects have included deploying platform extensions, enhancing our Iso Framework, building front-end features, researching new product ideas, and creating data pipelines and dashboards that inform real business decisions. What You'll Do Design, build, and test software applications Analyze and visualize data using Python and SQL Collaborate in Agile sprints and participate in code reviews Research emerging technologies to help improve our platform What You'll Bring Currently pursuing a degree in Computer Science or a related field Experience with Python, JavaScript, or C# Familiarity with data visualization tools (Power BI, Tableau) and databases is a plus Strong analytical thinking and communication skills 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. 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

View more...
Software EngineeringVia Workday
Verified14 days ago

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