Senior Application Developer-Python+GenAI, Any-Martin-Rieux

Senior Application Developer– Cloud-Native, AI/ML&GenAI Systems Skill Focus: Cloud-Native Development (4/5) | AI/ML Integration (4/5) | GenAI Systems (3/5)

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.

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