Lead Java Python Backend Engineer – AI Platforms - Vice President
Citi · India · 1d ago
Job Summary
We are seeking an experienced and visionary Java Backend senior developer for the design, development, and deployment of our AI-powered platforms.
Key Responsibilities.
- Architectural Design: Architect and design robust, scalable, and high-performance backend services and APIs using Java, Spring Boot, and microservices principles. Ensure systems are secure, reliable, and ready for future growth.
- AI Integration: Collaborate with data scientists and machine learning engineers to seamlessly integrate and deploy AI/ML models into our production environment. Design APIs and data pipelines to support real-time inferencing and model retraining.
- Full-Lifecycle Development: Oversee the entire software development lifecycle, from requirements gathering and technical design to coding, testing, deployment, and maintenance.
- Code Quality & Best Practices: Champion and enforce best practices for code quality, unit testing, integration testing, and CI/CD. Conduct code reviews and provide constructive feedback to the team.
- Strategic Collaboration: Work closely with product managers, stakeholders, and other engineering teams to define technical requirements, set priorities, and ensure timely delivery of features.
- Innovation & Research: Stay current with emerging trends and technologies in backend development, artificial intelligence, and machine learning. Drive innovation by prototyping new ideas and evaluating new tools.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 9-15 years of professional experience in backend software development, with a strong command of Java.
- 3+ years of experience in a technical leadership or lead developer role, with a proven track record of successfully delivering complex projects.
- Extensive experience with the Spring Framework, particularly Spring Boot, for building microservices.
- Solid understanding of microservices architecture, containerization (Docker), and orchestration (Kubernetes).
- Proficient in designing and building RESTful APIs and event-driven systems.
- Strong experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Experience with message brokers such as Apache Kafka or RabbitMQ.
- Strong understanding of software development principles, design patterns, and Agile methodologies.
Preferred Qualifications
- Hands-on experience in developing applications that consume or interact with AI/ML models.
- Familiarity with cloud platforms (AWS, Google Cloud, or Azure) and their AI/ML services.
- Basic knowledge of Python and common machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Experience with MLOps principles and tools for model deployment and monitoring.
- Knowledge of data processing frameworks like Apache Spark or Apache Flink.
- Experience with search and analytics engines like Elasticsearch.
- Excellent problem-solving abilities and strong communication skills.
- A passion for building intelligent systems and a desire to make an impact.
Education:
- Bachelor’s degree/University degree or equivalent experience
- Master’s degree preferred
This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.
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Job Family Group:
Technology------------------------------------------------------
Job Family:
Applications Development------------------------------------------------------
Time Type:
Full time------------------------------------------------------
Most Relevant Skills
Please see the requirements listed above.------------------------------------------------------
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.------------------------------------------------------
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