Senior Backend Developer

Job Overview

Come join the Intuit Data Exchange team as a Senior Backend Developer.

Our Backend Teams are responsible for acquiring millions of transactions and statements a day to satisfy our customer’s needs in all Intuit products.

You will be developing high volume services that are part of Intuit’s Data Exchange platform.

You will utilize your skills to help develop and maintain critical backend systems in cloud environments that are vastly used by various customers, both internal and external.

#LI-Hybrid

Responsibilities

• Gathering functional requirements, developing technical specifications, and project & test planning
• Designing/developing SaaS software, prototypes, or proofs of concepts (POC’s)
• Act in a technical leadership capacity: Mentoring junior engineers, new team members, and applying technical expertise to challenging programming and design problems
• Roughly 70-85% hands-on coding
• Resolve defects/bugs during QA testing, pre-production, production, and post-release patches
• Work cross-functionally with various Intuit teams: product management, QA/QE, various product lines, or business units to drive forward results
• Contribute to the design and architecture of the project

• Experience with Agile Development, SCRUM, or Extreme Programming methodologies

Qualifications

• You have at least 5 years of active Java experience.
• You have hands-on experience developing applications using Spring/SpringBoot framework and relational/non-relational DBs.
• Deep understanding and experience with Kafka and Flink for real-time data processing.
• Proficient in big data technologies including Apache Flink, Apache Kafka, and Apache Spark, with a strong focus on real-time data processing.
• Demonstrated ability in data analysis and machine learning techniques essential for identifying fraudulent patterns and behaviors.
• Expertise in both SQL and NoSQL databases, with proven experience in designing and managing large-scale database systems.
• Strong programming skills in Java, Python, or Scala.
• Advantage:
  • In-depth knowledge of fraud detection processes within the applicable industry, along with a firm grasp of compliance and security protocols.
  • ML, LLM, AI engineering, Agentice AI