Software Engineer

Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!

Qualifications

• Bachelor's or Master's degree (Computer Science preferred)
• 2-3 years of working experience in Java development
• Good problem-solving and analytical abilities
• Excellent attitude and communication skills
• Strong Java and Spring Boot knowledge with hands-on experience in object-oriented design and development
• Knowledge of RDBMS systems; experience with Cassandra is a plus
• Good understanding of microservices architecture, Kubernetes, Kafka, and Elasticsearch
• Familiarity with AI/ML concepts and practical applications in software development
• Experience using AI-assisted development tools (GitHub Copilot, ChatGPT, Microsoft Copilot, or similar) to improve developer productivity
• Understanding of Generative AI, Large Language Models (LLMs), Prompt Engineering, and AI-powered application integrations is a plus
• Exposure to AI APIs/frameworks such as OpenAI, Azure OpenAI, LangChain, Semantic Kernel, or similar technologies is desirable

Responsibilities

• Work in a dynamic environment to create, enhance, and maintain product features
• Continuously learn and gain in-depth knowledge of technologies and product domains
• Design, develop, deploy, and debug applications in a microservices and Kubernetes environment
• Understand and contribute to event-driven architectures
• Collaborate effectively with cross-functional teams in a hybrid work environment
• Develop scalable microservices and REST APIs
• Leverage AI-assisted development tools to improve code quality, productivity, testing, and debugging
• Explore and implement AI-powered capabilities within products and internal engineering workflows
• Contribute to the integration of Generative AI and intelligent automation solutions where applicable
• Stay updated with emerging AI technologies, industry trends, and best practices

Preferred Skills

• Java, Spring Boot, REST APIs
• Microservices Architecture
• Kubernetes, Kafka, Elasticsearch
• Cassandra or NoSQL databases
• Cloud platforms (AWS/Azure/GCP) preferred
• Generative AI, Prompt Engineering, LLMs
• AI-assisted software development tools and frameworks
• Strong debugging, troubleshooting, and system design skills