Senior Java Software Engineer

1 week ago


Boston, United States JobRialto Full time
Job Summary:

The Customer Data Technology group within the Personal Investing (PI) organization is seeking an experienced Software Engineer to build and maintain large-scale data processing systems. In this role, you will leverage cutting-edge technologies to design and deliver innovative Big Data solutions, with a focus on enhancing customer experiences in the financial services space. You will be working in a collaborative environment where you will have opportunities to innovate and drive the evolution of data processing technologies.

Key Responsibilities:
  • Design, develop, and maintain scalable, high-performance data processing systems that enhance customer experiences.
  • Build microservices (REST APIs, GraphQL APIs) using Object-Oriented Programming languages (Java, Python, Spring Boot) on AWS.
  • Apply expertise in Big Data solutions, utilizing AWS services to manage and process large datasets.
  • Work with relational (AWS RDS, Oracle, Postgres) and NoSQL databases (DynamoDB, Elasticsearch, Graph database) to ensure data integrity and scalability.
  • Develop event-driven applications using messaging technologies like SQS, SNS, Kinesis, Kafka, and Lambda.
  • Implement continuous integration and continuous delivery (CI/CD) pipelines using tools like Maven, Jenkins, GitHub, and Docker.
  • Collaborate with cross-functional teams to design and implement data-driven solutions that align with business objectives.
  • Research and explore emerging technology trends to drive innovation in the data ecosystem.
  • Support and deploy machine learning models using AWS Sagemaker.
  • Participate in Agile (Kanban/SCRUM) development processes to deliver high-quality software.
Required Qualifications:
  • Bachelor's or Master's Degree in a technology-related field (e.g., Computer Science, Engineering, etc.).
  • 6+ years of experience in implementing Big Data solutions, with a strong focus on cloud technologies (AWS preferred).
  • Expertise in Object-Oriented Programming languages (Java, Python) and building microservices (REST APIs, GraphQL APIs) in AWS.
  • Experience with relational (AWS RDS, Oracle, Postgres) and NoSQL databases (DynamoDB, Elasticsearch, Graph database).
  • Solid experience in developing event-driven/stream processing applications using technologies like SQS, SNS, Kinesis, Kafka, and Lambda.
  • Proficiency in DevOps practices, including CI/CD pipelines using tools like Maven, Jenkins, GitHub, and Docker.
  • Knowledge of deploying machine learning models using AWS Sagemaker.
  • Experience with Agile methodologies (Kanban, SCRUM).
Preferred Qualifications:
  • Exposure to the Python machine learning ecosystem (NumPy, Pandas, Scikit-learn, TensorFlow, NLP).
  • Familiarity with in-memory technologies like ElasticCache, Redis, etc.
  • Strong problem-solving abilities and a passion for technology innovation.
  • Ability to work collaboratively in a fast-paced and dynamic team environment.


Certifications (if any):

AWS Certified Solutions Architect - Associate or Professional.

AWS Certified DevOps Engineer.

Any other relevant cloud or data-related certifications.

Education: Bachelors Degree

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