About this role
The Role
As a Software Developer Specialist reporting to the Director – Software Development, you'll play a critical role in building and enhancing Nasdaq's next-generation AI-powered platform! You'll work with cross-functional teams to design, develop, and troubleshoot intelligent solutions that leverage cloud infrastructure and artificial intelligence capabilities. You’ll also contribute to performance analysis and optimization strategies that ensure the platform remains scalable, efficient, and reliable.
You're a builder at heart, passionate about AI innovation, excited to explore emerging AI technologies and apply them to real‑world platform challenges, independent and motivated to solve complex technical challenges in a fast-paced, collaborative environment!
Key Responsibilities
Build and maintain AI features and platform capabilities that leverage large language models
Diagnose and resolve complex issues in cloud services and deliver solutions that improve customer success
Collaborate with product owners, developers, and support teams to align priorities, understand requirements, and ship features that enhance the platform.
Contribute to technical documentation, playbooks, and knowledge-sharing initiatives.
Create high-quality code quickly and without errors, following best practices and mitigating risks
Required Qualifications
Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
5–10 years of software development experience with strong debugging and problem-solving skills
Experience with core AWS services such as Bedrock, API Gateway, ECS, Lambda, and AgentCore.
Strong hands‑on Terraform experience, including infrastructure implementation and management, along with knowledge of AWS IAM and cloud security policies, standards, and best practices.
Proficiency with Java and Python in object‑oriented programming, RESTful API principles, and experience with both relational (PostgreSQL/RDS) and NoSQL databases (DynamoDB).
Clear communicator with experience working collaboratively
Preferred Qualifications
Hands-on experience with AI tools and frameworks, prompt engineering, LLMs, and AI performance evaluation (bias detection, hallucination monitoring, model drift analysis).
Prior use of AI-assisted development tools and techniques such as Claude Code, GitHub Copilot, or similar platforms.
Exposure to modern web development frameworks, distributed computing, or big data technologies.
Exposure to Python and Jupyter Notebooks, and SageMaker Studio is considered an asset.
This position is located in St. John's or Toronto and 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.
Benefits & Rewards
We offer a competitive, holistic rewards package that supports the well-being of our employees and their families.
For more information, visit Nasdaq Benefits & Rewards Career Page.
Come as You Are
Nasdaq is an equal opportunity employer. We positively encourage applications from suitably qualified and eligible candidates regardless of age, color, disability, national origin, ancestry, race, religion, gender, sexual orientation, gender identity and/or expression, veteran status, genetic information, or any other status protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
Other facts
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
What you'll do
- The specialist will be responsible for building and maintaining AI features and platform capabilities leveraging large language models, while also diagnosing and resolving complex issues within cloud services. They will collaborate with various teams to align priorities, understand requirements, and ship features that enhance the platform.
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