- Location
- Pune, India
- Workplace
- Hybrid
- Type
- Full-time
- Department
- Engineering
- Education
- Master
- Source
- Workday
Description
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
Skills
JavaSpring BootAWSAzureGCPKubernetesElasticsearchCassandraGitHubRESTMicroservices