Software Engineer - Cloud Solutions & Applied AI

About Nasdaq At Nasdaq, our purpose is to advance economic progress for all. We power stronger economies, create more equitable opportunities, and contribute to a more sustainable world to help our communities, clients, employees, and people of all backgrounds reach their full potential. Meet the #NasdaqFam and learn about our purpose, culture and careers here: https://www.nasdaq.com/about/careers

Nasdaq

Technology SolutionsFinancial MarketsGlobal TradingEquitiesMarket TechnologyMarket ServicesFixed IncomeDerivativesCorporate SolutionsGlobal Index Services

N

nasdaq.com

1,001-5,000 employees

Financial Services

New York, NY

Public Company

627k LinkedIn followers

Raised $11B

• 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.
• 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.
• intelligent automation — and bring ideas that improve the product and team
• effectiveness.

Required

• 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

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

• 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.
• 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