Software Engineer
Job Description
Come work at a place where innovation and teamwork come together to support the most exciting missions in the world!
Qualifications
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
- 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
- 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
More Info
Key Skills
LangChain
Generative AI
NoSQL databases
AI APIs frameworks
Azure OpenAI
Semantic Kernel
AI-assisted development tools
Microservices Architecture
OpenAI
Prompt Engineering
About Company
Skills:
snowflake , Java, Spring Boot, Kotlin, Sql, ELT, Agile, AWS, Etl, Generative AI, AI-assisted software development tools, Large Language Models
Skills:
Node.js, Angular, Typescript, Docker, MongoDB, Nestjs, Azure, Kubernetes, GitOps, DevOps workflows, Argo CD, CI/CD pipelines
Skills:
Java, Machine Learning, Java Frameworks, Continuous Delivery, Big Data, AWS cloud services, Object-oriented analysis and design, Object-oriented programming
Skills:
react.js , Machine Learning, Cassandra, Spring Boot, Microservices, Docker, RESTful API development, Oracle, Java, Artificial Intelligence, Redis, Memcached, Jenkins, Apache Kafka, Distributed Systems, Kubernetes, AI Agents, Azure OpenAI, ChatGPT, OpenAI APIs, Microsoft Copilot, LangChain, Cloud-native application development, Semantic Kernel, GitHub Copilot, Prompt Engineering
Skills:
Azure Kubernetes Service (AKS), Microsoft Azure, Windows Server Administration, AWS, Containerized deployments, Cloud infrastructure automation tools