This role pays less than
85%
of similar roles. Most pay
$137,882–$203,475
— the shaded band above.
At the midpoint, this role pays about
$116k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
Employer
About Nasdaq
Nasdaq is a global technology company serving the capital markets and other industries through its market infrastructure, marketplace technology, and data analytics and insights solutions. Industry: Financial Exchanges & Market Technology
As a Software Engineer - Cloud Solutions & AI, you will join the engineering team to build and improve the Nasdaq Questionnaires platform, a SaaS solution supporting governance, compliance, and board-related workflows for corporate clients. You will design, develop, and maintain software components including APIs, backend services, and user-facing features while participating in the full development lifecycle from requirements through testing and deployment readiness. The role involves collaborating with cross-functional teams to deliver scalable solutions while exploring AI-assisted development and intelligent automation. Required skills include proficiency in C#, Java, Python, JavaScript, or TypeScript, along with knowledge of REST APIs, relational databases, cloud platforms, and distributed systems. You will work within a complex domain involving regulated industries such as fintech and capital markets to solve technical challenges related to enterprise compliance technology and high-quality software delivery.
What does a Software Engineer earn in Massachusetts?
Median $207604 from 88 postings across 22 companies.
Design, develop, and maintain software components including APIs, backend services, and user-facing features.
Manage the full development lifecycle from initial requirements and design through testing and deployment readiness.
Provide production support and release support to ensure high-quality service for corporate clients.
Implement engineering best practices, automation, and testability to improve reliable software delivery.
Integrate emerging technologies like AI-assisted development and intelligent automation into the product and team workflows.
Build scalable and reliable solutions across a modern cloud-based SaaS platform.
What we're looking for
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.
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, and distributed systems.
Strong analytical, troubleshooting, and problem-solving skills to collaborate effectively in Agile, cross-functional environments.
Ability to contribute across development, testing, deployment readiness, and support activities beyond a single technology layer.
Preferred experience with cloud services, containerization, Kubernetes/AKS, CI/CD pipelines, or secure software development in enterprise environments.
Preferred exposure to AI-assisted development, machine learning concepts, or experience in regulated industries like fintech or capital markets.
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