Software Engineer I

Job description

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. As a Software Engineer I, you will work as part of a collaborative team contributing to full-stack development, including backend services (APIs and microservices), frontend development using React, and cloud-based solutions on Google Cloud Platform (GCP) and AWS. You will gain hands-on experience building scalable systems while learning industry best practices. - 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 - 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