Software Engineer I

About the Role

This position is for a Software Engineer I within the eCRMS – Customer 360 (C360) Engineering team. In this role, you will contribute to the design and development of large-scale, cloud-native, event-driven, reactive applications that enable a global, 360-degree view of the customer.

Responsibilities

• Contribute to the development of microservices that support a rapidly growing data platform
• Assist in building scalable APIs using modern programming frameworks
• Support the development of tools, automation, and instrumentation to improve system reliability
• Work on services that enable real-time data processing and analytics
• Collaborate with team members to improve the efficiency, reliability, and scalability of data pipelines
• Participate in code reviews, testing, and debugging to ensure high-quality software delivery
• Work on cross-functional initiatives and collaborate with engineers across teams
• Learn and apply best practices in software development, system design, and cloud technologies

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, and/or comparable experience
• Knowledge of distributed (multi-tiered) systems, algorithms, NoSQL and relational databases
• Knowledge of the core tools used in the planning, analyzing, crafting, building, testing, configuring, and maintaining of assigned application(s)
• 1–3 years of experience (or equivalent internships/projects) in building applications using object-oriented programming (Java or similar technologies)
• Basic understanding of REST APIs and microservices architecture
• Familiarity with Java and writing clean, maintainable code
• Understanding of data structures, algorithms, and software design principles
• Exposure to relational databases and/or NoSQL technologies (e.g., Cassandra, Couchbase)
• Familiarity with version control systems such as Git
• Strong problem-solving skills and willingness to learn new technologies
• Good communication and collaboration skills
• Exposure to cloud platforms such as AWS or GCP
• Familiarity with frontend technologies such as React
• Basic knowledge of event-driven architecture or messaging systems (e.g., Kafka, Vert.x)
• Experience with build tools such as Maven or Gradle
• Awareness of containerization technologies like Docker or OpenShift
• Exposure to Elasticsearch, PostgreSQL, or Python
• Interest in data engineering, machine learning, or AI concepts