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Director Nasdaq Software Engineer Jobs in Riverside, CA

Cotality

Director, Software Engineering

Irvine, CA · On-site

$271K/yr

Cotality is seeking a highly experienced and strategic Director of Software Engineering to lead our Digital Gateway initiatives. In this critical leadership role, you will hold ultimate ...

Motorola

Principal Embedded Software Engineer

Irvine, CA

$180K - $250K/yr

THE OPPORTUNITY Silvus is seeking a Principal Embedded Software Engineer to join our Engineering Group, reporting to the Senior Engineering Director for our Irvine office. The successful individual ...

ConsumerDirect, Inc.

Software Developer II

Irvine, CA

$135K - $170K/yr

Software Engineer Team Lead Location : Onsite, Irvine, CA ***This position is full-time and in ... Requires sitting for extended periods and regular keyboard and mouse use "Consumer Direct embraces ...

ConsumerDirect, Inc.

Software Developer II

Irvine, CA · On-site

$135K - $170K/yr

Software Engineer Team Lead Location : Onsite, Irvine, CA ***This position is full-time and in ... Requires sitting for extended periods and regular keyboard and mouse use "Consumer Direct embraces ...

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All JobsNasdaq Software Engineer JobsDirector Nasdaq Software Engineer JobsDirector Nasdaq Software Engineer Jobs in Riverside, CA

Director Nasdaq Software Engineer information

See Riverside, CA salary details

$145K

$265K

How much do director nasdaq software engineer jobs pay per year?

As of Jul 17, 2026, the average yearly pay for director nasdaq software engineer in Riverside, CA is $254,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $263,900.00 and $263,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director Nasdaq Software Engineer, and why are they important?

To thrive as a Director Nasdaq Software Engineer, you need extensive experience in software engineering, leadership, and a strong understanding of financial technology, often supported by a degree in computer science or related fields. Familiarity with programming languages like Java or C++, cloud platforms, DevOps tools, and knowledge of trading systems are typically required, along with certifications such as AWS or PMP being advantageous. Outstanding communication, strategic thinking, and team management skills are essential for leading diverse engineering teams and collaborating across departments. These qualifications ensure the ability to deliver robust, scalable financial solutions that meet both technical and business objectives in a high-stakes environment.

How does a Director Nasdaq Software Engineer typically collaborate with cross-functional teams to deliver complex projects?

As a Director Nasdaq Software Engineer, you will play a pivotal role in leading cross-functional teams comprising software engineers, product managers, QA specialists, and infrastructure experts. Collaboration often involves setting technical direction, aligning project goals, and ensuring smooth communication among stakeholders. You are expected to facilitate agile ceremonies, provide architectural guidance, and resolve technical roadblocks to ensure timely delivery. This role requires balancing high-level strategic planning with hands-on problem-solving, making strong collaboration and leadership skills essential for success.

What is the difference between Director Nasdaq Software Engineer vs Nasdaq Software Engineer?

AspectDirector Nasdaq Software EngineerNasdaq Software Engineer
ResponsibilitiesOversees software development teams, sets strategic goals, manages project portfoliosDevelops, tests, and maintains software applications, collaborates with teams on coding tasks
Required CredentialsBachelor's/Master's in Computer Science or related, extensive experience, leadership skillsBachelor's in Computer Science or related, coding proficiency, relevant experience
Work EnvironmentLeadership, strategic planning, cross-team coordinationHands-on coding, software development, team collaboration
Industry UsageCommon in financial tech firms, trading platforms, and large financial institutionsStandard role in tech teams within Nasdaq and related financial services

The main difference is that the Director Nasdaq Software Engineer focuses on leadership, strategy, and team management, while the Nasdaq Software Engineer is primarily involved in hands-on software development and coding tasks.

What does a Director Nasdaq Software Engineer do?

A Director Nasdaq Software Engineer leads and manages software engineering teams responsible for building and maintaining critical trading, market data, and financial technology systems at Nasdaq. This role involves overseeing the architectural direction, ensuring code quality, and collaborating with cross-functional teams to deliver robust software solutions. Additionally, the Director plays a key role in setting technical strategy, mentoring engineers, and ensuring that projects align with business objectives and regulatory requirements.
What are popular job titles related to Director Nasdaq Software Engineer jobs in Riverside, CA? For Director Nasdaq Software Engineer jobs in Riverside, CA, the most frequently searched job titles are:
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Director Nasdaq Software Engineer jobs near you
Staff Software Engineer-AI Products

Staff Software Engineer-AI Products

NextDeavor Inc.

Irvine, CA • On-site

$159K - $165K/yr

Contractor

Posted 24 days ago

Job description

Become a Key Player as a Staff Software Engineer-AI Products

You will shape the technical direction and architecture for an enterprise-grade AI platform, driving scalable, secure AI services used by product and engineering stakeholders. You’ll report to the Director of Platform Services and work fully Remote as part of a Platform Services sub-team, partnering closely with application engineering, cloud infrastructure, applied AI, and product.

Here's How You'll Make an Impact on the Team
  • Own the reference architecture for the AI platform, including API abstractions, prompt and version management, RAG infrastructure, vector retrieval, evaluation harnesses, and model serving.
  • Lead build-vs-buy evaluations, due diligence, and integration planning for AI components.
  • Design and implement foundational data pipelines and infrastructure to support reliable, scalable AI services with security and compliance in mind.
  • Contribute hands-on backend development in Python and RESTful API design; participate in full-stack delivery using React/TypeScript when needed.
  • Build and maintain tooling, SDKs, platform APIs, and evaluation frameworks to enable reproducible model testing and safe AI adoption by product teams.
  • Establish observability and performance tracking for AI services and apply secure-by-default principles (encryption, least privilege, audit logging).
  • Mentor and sponsor other engineers, lead architecture reviews, and drive engineering best practices and documentation.
Here's What You'll Need to Be Successful in This Role
  • 8+ years of professional software engineering experience with demonstrated cross-team architectural influence.
  • Proven end-to-end delivery of AI-powered features from concept to production.
  • Strong proficiency in Python and RESTful API development (e.g., FastAPI, Django).
  • Experience with full-stack development (React, TypeScript) and integrations with third-party LLM/AI APIs.
  • Familiarity with AWS services (IAM, networking, managed services, storage) and cloud-native architecture.
  • Solid foundation in distributed systems, API design, CI/CD, Docker, version control, and observability tools.
  • Experience with GenAI patterns (RAG pipelines, prompt management, LLM evaluation, agent frameworks) and vector databases/semantic search.
  • Exposure to model serving, MLOps/LLMOps practices, IaC (Terraform/Pulumi), and Kubernetes.
  • Strong communication skills for technical and non-technical stakeholders and experience authoring RFCs/ADRs.
  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience.
Here's What Else Might Help You Out
  • Experience building in financial services, fintech, or other regulated environments.
  • Working familiarity with AI governance and compliance frameworks relevant to finance (model risk, fair lending, SOC 2).
Pay Range

$236K/year

Ready to Make Your Mark?

This role may fill quickly. Submit your resume to be considered.

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