Senior Application Developer – Cloud-Native, AI/ML & GenAI Systems

Role Overview

We are seeking a Senior Application Developer with strong expertise in cloud-native backend development and hands-on experience integrating modern AI/ML and Generative AI (GenAI) technologies. This role is ideal for engineers who excel at building scalable, high-performance backend systems using Java (Spring Boot) and/or Node.js, applying DevOps best practices, and developing event-driven, real-time applications.

The position offers the opportunity to collaborate closely with data scientists and AI engineers to design, integrate, and scale intelligent, AI-powered platforms.

Key Responsibilities

• Design, architect, and develop scalable cloud-native applications using Java (Spring Boot) and/or Node.js.
• Build and maintain microservices-based architectures with robust inter-service communication using REST, gRPC, and messaging patterns.
• Develop event-driven systems leveraging messaging platforms such as Apache Kafka or RabbitMQ.
• Containerize applications using Docker and manage deployments with Kubernetes.
• Define and implement CI/CD pipelines using tools such as Jenkins, GitHub Actions, or Azure DevOps.
• Leverage cloud-native services from AWS, Azure, or GCP, including serverless functions, managed databases, and observability solutions.
• Design and implement data persistence strategies using NoSQL databases such as MongoDB, DynamoDB, or Cassandra.
• Collaborate with AI/ML teams to integrate machine learning models as REST APIs or microservices.
• Integrate GenAI platforms including OpenAI, Azure OpenAI, AWS Bedrock, Vertex AI, or custom LLM solutions to enable intelligent features.
• Contribute to architectural decisions related to scalability, security, resilience, and fault tolerance.

Required Skills & Qualifications

• 6+ years of backend development experience using Java (Spring Boot) and/or Node.js.
• Strong expertise in microservices architecture, RESTful API design, and event-driven systems.
• Hands-on experience with Docker and Kubernetes for container orchestration.
• Solid experience implementing CI/CD pipelines and DevOps automation.
• Deep understanding of asynchronous messaging systems such as Apache Kafka or RabbitMQ.
• Proficiency with NoSQL databases and an understanding of their performance and consistency tradeoffs.
• Strong grasp of cloud-native design principles including stateless services, scalability, and resiliency.
• Experience working with cloud platforms such as AWS, Azure, or GCP (e.g., Lambda, Fargate, GKE, Azure Functions).

Preferred / Bonus Skills

• Proficiency in Python for scripting, automation, or API development.
• Experience collaborating with AI/ML teams or supporting model deployment workflows.
• Exposure to ML pipelines, model serving, and versioning using tools such as TensorFlow Serving, FastAPI, or similar.
• Familiarity with GenAI frameworks and platforms, including:
  • OpenAI APIs (e.g., GPT-4, ChatGPT)
  • Hugging Face Transformers
  • Azure OpenAI, AWS Bedrock, Vertex AI
  • LangChain, LlamaIndex, and Retrieval-Augmented Generation (RAG) architectures
• Experience building LLM-powered features such as chatbots, summarization, classification, or recommendation engines.
• Knowledge of data engineering concepts including feature pipelines, embeddings, and vector databases (e.g., Pinecone, FAISS).
• Relevant cloud (AWS/Azure/GCP) and/or Kubernetes certifications.

Why Join Us

• Work at the intersection of modern cloud engineering and AI-driven innovation.
• Build platforms that combine microservices architecture with intelligent automation and GenAI capabilities.
• Collaborate with a highly skilled, forward-thinking engineering and AI team.
• Enjoy competitive compensation, flexible remote work, and strong career growth opportunities.