Nasdaq

Verafin - Senior Software Developer (Data Products Operations)

Nasdaq$90K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.
  • 3+ years of experience in developing and supporting software systems in production environments.
  • Knowledge of big data tools like Spark, Iceberg, Hudi, Hadoop, or similar technologies.
  • Strong programming skills in Java, Python, or related languages with cloud experience.
  • Proven problem-solving abilities for complex technical issues.
  • Excellent communication and collaboration skills across teams.
  • Familiarity with AI tools or AI-assisted development techniques.

Responsibilities

  • Enhance the operational health, reliability, and performance of the Data Products Platform.
  • Troubleshoot and resolve complex production issues across data services and pipelines.
  • Design and build automation to reduce operational overhead and boost platform resiliency.
  • Develop tools and solutions for monitoring and observability to expedite issue resolution.
  • Partner with development teams to identify root causes of recurring problems and implement solutions.
  • Contribute to evolving platform architecture, deployment processes, and operational best practices.

Benefits

  • Hybrid work environment with at least 3 days in-office flexibility.
  • Opportunity to work closely with a variety of teams across data and cloud platforms.
  • Engagement in cutting-edge data technologies and practices.
  • Access to a dynamic and innovative workplace culture.
Full Job Description
The Role

We're looking for a Senior Software Developer to join our Data Products Operations team, reporting to the Manager, Software Development.

At Nasdaq Verafin, our Data Platform teams build and operate the data foundations that power critical analytics, fraud detection capabilities, consortium insights, and customer-facing products across the organization. In this role, you'll help ensure the reliability, scalability, and efficiency of the systems that support our growing portfolio of data products.

You'll work closely with engineers across Data Platform, Cloud Platform, Enterprise Analytics, and Product teams to solve complex operational challenges, improve system resiliency, and build automation that makes it easier to deliver and operate large-scale data solutions.

What You'll Do

  • Support and enhance the operational health, reliability, and performance of our Data Products Platform.


  • Troubleshoot and resolve complex production issues across data services, pipelines, and platform components.


  • Design and build automation that reduces operational overhead and improves platform resiliency.


  • Develop tools, monitoring, and observability solutions that help teams detect and resolve issues faster.


  • Partner with software development teams to identify root causes and implement long-term solutions to recurring problems.


  • Contribute to the evolution of our platform architecture, deployment processes, and operational best practices.


What You'll Bring

  • Bachelor's degree in Computer Science, Computer Engineering, or equivalent professional experience.


  • 3+ years of experience developing and supporting software systems in production environments.


  • Experience with big data tools such as Spark, Iceberg, Hudi, Hadoop or other modern data lake and data pipeline technologies.


  • Strong programming experience with languages such as Java, Python, or similar, along with cloud-based systems and modern software development practices.


  • Proven problem-solving and debugging skills, with the ability to investigate complex technical issues and implement practical solutions.


  • Strong communication and collaboration skills, with the ability to work effectively across multiple teams.


  • Experience applying AI tools or AI-assisted development practices to improve coding, debugging, documentation, automation, or developer productivity.


Nice to Have

  • Experience with large-scale data processing, data platforms, or distributed systems.


  • Experience with AWS services, CI/CD pipelines, or platform engineering practices.


  • Experience with Infrastructure as code such as Terraform.


This position will be 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.

About Nasdaq

Nasdaq, Inc. is a global technology company that operates a suite of financial services businesses, including trading, clearing, exchange technology, regulatory, securities listing, and public company services. The company was founded in 1971 and is headquartered in New York, New York. Nasdaq operates in over 50 countries and has more than 4,700 employees worldwide. The company is committed to innovation and has been at the forefront of developing new technologies to improve the efficiency and transparency of financial markets.
Learn more about Nasdaq
Size
5,987 employees
Market Cap
$29.8 billion
Industry
Net Income
$933 million
Founded
1971
5 Year Trend
+9.7%
Revenue
$5.6 billion
NASDAQ

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