Software Engineer - Cloud Solutions & Applied AI

As a Software Engineer reporting to the Senior Director of Software Engineering, you'll play a key role in building and improving the Nasdaq Questionnaires platform — a SaaS solution supporting governance, compliance, and board-related workflows for corporate clients worldwide. You will work closely with Software Engineers, Product Managers, and Data Scientists to bring AI features from concept to production.

You'll thrive here if you're curious, collaborative, and bring strong engineering fundamentals to a team that values learning, quality, and meaningful contribution across development, testing, deployment readiness, and support activities—not just one technology or layer of the stack.

Key Responsibilities

• Design, develop, and maintain software components — including APIs, backend services, and user-facing features — across a modern cloud-based platform.

• Participate in the full development lifecycle, from requirements and design through testing, deployment readiness, release support, and thoughtful production support.

• Partner with Product, Engineering, Quality, DevOps, and Support teams across multiple locations to deliver scalable, reliable, and high-quality solutions.

• Build with quality in mind by contributing to engineering best practices, automation, testability, and reliable delivery improvements that help the team ship software with confidence.

• Explore emerging technologies — including AI-assisted development and intelligent automation — and bring ideas that improve the product and team effectiveness.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• 2–4 years of professional software development experience with strong programming fundamentals and core engineering principles.
• Strong fundamentals in machine learning and data science, with practical exposure to model evaluation, data preparation, feature engineering, basic statistics, and applying ML concepts in academic, project, or professional settings.
• Lead the development and adoption of AI/ML practices across engineering teams, driving AI solution delivery while establishing risk assessment frameworks, testing strategies, model validation standards, and responsible AI governance processes.
• Proficiency in one or more modern programming languages such as C#, Java, Python, JavaScript, or TypeScript.
• Foundational knowledge of web application architecture, REST APIs, relational databases, cloud platforms, networking, scalability, queues, background processing, and distributed systems concepts.
• Strong analytical, troubleshooting, and problem-solving skills; able to collaborate effectively in Agile, cross-functional environments and communicate clearly across teams.
• Comfortable contributing across development, testing, deployment readiness, and support activities, with a willingness to learn beyond a single technology or layer of the stack.

Preferred Qualifications

• Exposure to technologies similar to our environment, such as cloud services, containerization, Kubernetes/AKS, CI/CD pipelines, observability tooling, or secure software development in an enterprise or SaaS environment.

• Exposure to AI-assisted development, machine learning concepts, or intelligent automation in a professional or academic context.

• Background in regulated industries such as fintech, capital markets, or enterprise compliance technology.

This position offers the opportunity for a hybrid work environment (at least 3 days a week in office, subject to change), providing flexibility and accessibility for qualified candidates.

Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; Nasdaq will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa).

Come as You Are

Nasdaq is an equal opportunity employer. We welcome applications from candidates of all backgrounds and identities.

We are committed to fostering an inclusive workplace where diverse perspectives, experiences, and identities are valued and celebrated.

We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process.

What We Offer

We’re proud to offer a competitive rewards package that is meaningful, recognizes the unique needs of our employees and their families and incentivizes employees for their contribution to Nasdaq’s overall success.

The base pay range for this role is $86,000 - $146,000. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long-term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job-related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands.

Nasdaq’s programs and rewards are intended to allow our employees to:

• Secure Wealth: 401(k) program with 6% employer match, Employee Stock Purchase Program with 15% discount, Student loan repayment program up to $10k, Company paid life and disability plans, Generous paid time off
• Prioritize Health: Comprehensive medical, dental and vision coverage, Health spending account with employer contribution, Paid flex days to support mental wellbeing, Gym membership discounts
• Care for Family: Hybrid home/office schedule (for most positions), Paid parental leave, Fertility benefits, Paid bereavement leave
• Connect with Community: Company gift matching program, Employee resource groups, Paid volunteer days
• Grow Career: Education Assistance Program, Robust job skills training and Professional development opportunities

For more information, visit Nasdaq Benefits & Rewards Career page.