Jr. Software Engineer, New Grad

Bumble Inc.

full-time

Posted on: 9/5/2025

Location: 🇺🇸 United States

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Entry Level

AWSCloudDistributed SystemsDockerJavaJavaScriptKotlinKubernetesNode.jsPythonPyTorchReactScikit-LearnTensorflowTypeScriptVue.js

About the role

Develop and maintain both backend services and frontend web or mobile interfaces with guidance from more experienced engineers.
Write clean, testable, production-ready code across the stack.
Assist in designing APIs and integrating them into user-facing applications.
Build accessible, performant UI components and features that enhance the user experience.
Learn and apply industry best practices for security, scalability, and reliability.
Collaborate closely with Product Managers, Designers, and Engineers to deliver end-to-end features.
Participate in code reviews, stand-ups, and technical discussions.
Support testing, debugging, and troubleshooting in development and production environments.
Contribute to Bumble 2.0, a cloud-native re-architecture powered by AWS, and apply AI to enhance products.

Bachelor’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent practical experience).
Proficiency in at least one backend programming language (e.g., Java, Python, Node.js, Kotlin).
Familiarity with frontend technologies such as JavaScript/TypeScript, React, Vue, or similar frameworks.
Basic knowledge of cloud environments (AWS preferred) and interest in learning more.
Understanding of fundamental data structures, algorithms, and software design principles.
Strong problem-solving ability, adaptability, and a collaborative mindset.
Must be legally authorized to work in the United States without the need for employer sponsorship now or in the future (e.g., H-1B, F-1/OPT, TN, O-1, or similar work visas).
Internship or project experience with full-stack development (frontend + backend) (nice-to-have).
Exposure to databases, CI/CD pipelines, or containerization (Docker/Kubernetes) (nice-to-have).
Familiarity with distributed systems, microservice-based architectures, or mobile app development (nice-to-have).
Experience with responsive design, accessibility, or performance optimization (nice-to-have).
Understanding of prompt engineering and retrieval-augmented generation (RAG) pipelines (nice-to-have).
Programming skills in Python and experience with AI/ML libraries such as TensorFlow, PyTorch, Scikit-learn, or Transformers (nice-to-have).
Familiarity with LLM frameworks (e.g., OpenAI, Cohere, Anthropic) (nice-to-have).