Transaction Services Software Engineer, SrAssc

Who We Are Looking For
We are looking for a Senior Associate-level, hands-on Software Engineer to join our Transaction Services Platforms team. The role supports both Java-based transaction applications and our transaction data platform. These mission-critical platforms support Middle Office and Back Office functions by processing, validating, enriching, storing, and reconciling transaction and reference data across multiple systems.
The role is ideal for an engineer with 2+ years of software development or data engineering experience who is eager to deepen their Java and data platform skills, contribute to large-scale transaction processing and analytics solutions, and grow their ownership across the software development and data engineering lifecycle.
Develop and enhance reliable Java solutions for transaction processing and reconciliation
Build, operate, and improve transaction data pipelines and data solutions on Snowflake and Databricks
Contribute across the lifecycle, from requirements clarification and development through testing, deployment, monitoring, and support
Apply TDD, CI/CD, automation, data quality controls, and engineering best practices with guidance from experienced team members
What You Will Be Responsible For
Solution & Data Platform Development
Work with business analysts, product owners, data engineers, and global engineering teams to understand and clarify functional, data, and technical requirements.
Develop and enhance Java services and data solutions for new features, platform improvements, analytics use cases, and regulatory changes across Transaction Services Platforms.
Build and support data ingestion, transformation, validation, and reconciliation workflows using Snowflake and Databricks.
Write high-quality, maintainable, and testable Java, SQL, and data engineering code in line with enterprise standards.
Analyze production data, logs, pipeline metrics, and data quality results to support testing, troubleshooting, and solution validation.
Participate in technical design discussions, code reviews, data model reviews, and continuous improvement of engineering practices.
Execution, Quality & Support
Apply TDD, CI/CD, automated testing, and data quality validation throughout the software and data engineering lifecycle.
Support system testing, data validation, UAT, production deployment, monitoring, and issue resolution under the guidance of senior engineers.
Contribute to solutions for high-volume, time-sensitive transaction processing, data pipelines, and exception workflows with strong attention to accuracy and quality.
Follow established controls and engineering practices to protect system stability, data integrity, data lineage, and operational resilience.
Collaboration & Ownership
Provide clear updates on progress, issues, risks, and dependencies to the team.
Collaborate effectively across global, cross-functional teams.
Take ownership of assigned deliverables and seek guidance when needed.
Contribute to a culture of quality, learning, automation, and continuous improvement.
What We Value
Good analytical and problem-solving skills, with attention to detail.
A proactive team player who communicates clearly and is willing to learn.
A quality-focused engineering mindset with accountability for assigned work.
The ability to work effectively in an Agile/Scrum environment.
The ability to manage priorities and deliver maintainable solutions within agreed timelines.
Education & Preferred Qualifications/Skills
Basic Qualifications
2+ years of software development, data engineering, or related technology experience.
Hands-on experience with Java/J2EE and Spring or Spring Boot.
Good understanding of object-oriented programming and software design principles.
Strong working knowledge of SQL, relational databases, and data modelling concepts.
Experience with or practical exposure to Snowflake, Databricks, or comparable cloud data platforms.
Understanding of data ingestion, transformation, data quality, and reconciliation concepts.
Experience with unit testing and familiarity with test-driven development or automated testing frameworks.
Experience working in an Agile/Scrum software development environment.
Preferred Qualifications
Exposure to messaging and streaming technologies such as MQ or Kafka.
Familiarity with Databricks, Apache Spark, Delta Lake, Snowflake, or related data engineering technologies.
Familiarity with cloud platforms, preferably AWS & Azure, and container technologies such as Docker or Kubernetes.
Experience with scripting or data engineering languages such as Python or Scala.
Interest in or exposure to financial transaction processing, reconciliation, data governance, or analytics platforms.
Exposure to supporting business-critical applications or data platforms in a development or production environment.
Education
Bachelor’s degree or higher in Computer Science, Software Engineering, or a related discipline.
Good oral and written English communication skills.
Where the Role Will Be Based
The role will be based in Hangzhou, China.
About State Street
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment whe