• Provide hands-on development, troubleshooting, and technical support for D365 Finance & Operations • Collaborate closely with client stakeholders to enhance their use of D365 F&O • Proactively identify, analyse, and resolve technical issues

• Create intelligent agents with Copilot Studio and integrate them with business workflows using Power Platform. • Develop applied AI solutions by integrating APIs, data, and automations.

• Function as an integral part of the card conversion team, assisting as assigned to projects and address client support issues. • Assist in creating, maintaining and updating existing C++ software for data modification within Db2 environments. • Work with cross-functional teams to confirm project requirements by reviewing software objectives, input data, and resulting output. • Completes functional testing of software prior to code review and client delivery. • Support data migration by performing data cleanup, basic troubleshooting, and executing predefined programs. • Perform revision, repair, or improvement of existing programs to increase operating efficiency or adapt to new requirements. • Write and optimize Db2 SQL queries to retrieve and analyze data. • Completes functional testing of software prior to code review and client delivery. • Preserve and optimize quality through testing as required. • Participate in weekly meetings and code reviews to discuss project status and learn best practices from senior developers. • On call support, outside working hours, for client projects. • Create clear technical documentation for new, enhanced, and existing software to facilitate knowledge transfer. • Perform other job-related duties as assigned.

Role Description 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. 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. Benefits - 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.