Backend Software Engineer

As a Senior Backend Engineer at the contextualization platform, your role is crucial in enhancing the core data contextualization platform. You will be joining a newly established scrum team and leading backend development efforts to modernize and scale the platform using your strong expertise in Kotlin. Your contributions will directly impact the long-term roadmap focused on scalable, maintainable, and secure industrial software. **Key Responsibilities:** - Design, develop, and maintain scalable, API-driven backend services using Kotlin - Align backend systems with modern data modeling and orchestration standards - Collaborate with engineering, product, and design teams for seamless integration across the broader data platform - Implement and refine RESTful APIs following established design guidelines - Participate in architecture planning, technical discovery, and integration design for improved platform compatibility and maintainability - Conduct load testing, improve unit test coverage, and contribute to reliability engineering efforts - Drive software development best practices including code reviews, documentation, and CI/CD process adherence - Ensure compliance with multi-cloud design standards and use infrastructure-as-code tooling such as Kubernetes and Terraform **Qualifications:** - 3+ years of backend development experience, with a strong focus on Kotlin - Proven ability to design and maintain robust, API-centric microservices - Hands-on experience with Kubernetes-based deployments, cloud-agnostic infrastructure, and modern CI/CD workflows - Solid knowledge of PostgreSQL, Elasticsearch, and object storage systems - Strong understanding of distributed systems, data modeling, and software scalability principles - Excellent communication skills and ability to work in a cross-functional, English-speaking environment - Bachelors or Masters degree in Computer Science or related discipline **Bonus Qualifications:** - Experience with Python for auxiliary services, data processing, or SDK usage - Knowledge of data contextualization or entity resolution techniques - Familiarity with 3D data models, industrial data structures, or hierarchical asset relationships - Exposure to LLM-based matching or AI-enhanced data processing (not required but a plus) - Experience with Terraform, Prometheus, and scalable backend performance testing In this role, you will be developing Data Fusion, a robust SaaS for industrial data, where you will solve concrete industrial data problems by designing and implementing delightful APIs and robust services. You will work with application teams to ensure a delightful user experience and collaborate with distributed open-source software and databases/storage systems such as Kubernetes, Kafka, Spark, PostgreSQL, Elasticsearch, and S3-API-compatible blob stores, among others. At GlobalLogic, you will be part of a culture of caring, learning, and development opportunities. You will engage in interesting and meaningful work on impactful projects while enjoying balance and flexibility in work arrangements. You will be part of a high-trust organization committed to integrity and trust.,