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Job Title: Cloud Engineering Senior Engineer API

Job Summary:

We are seeking a highly skilled Cloud Engineering Senior Engineer API, Full Stack & AI/ML with 6+ years of strong experience in cloud engineering, enterprise application development, API-led architecture, Full Stack development, and AI/ML solution delivery across cloud environments. The role focuses on designing, developing, and modernizing cloud-native applications, enterprise API ecosystems, and AI-powered business solutions to enable digital transformation, innovation, scalability, and operational efficiency for enterprise clients.

The ideal candidate will possess strong hands-on technical expertise combined with client-facing advisory experience, with the ability to drive application modernization initiatives, API transformations, AI/ML adoption, and proof-of-concepts across complex enterprise environments.

Key Responsibilities:

• Design, develop, deploy, and optimize cloud-native applications, enterprise APIs, and AI-powered solutions across Azure, AWS, and GCP platforms.
• Build scalable, secure, and high-performing applications using modern Full Stack technologies and Python-based frameworks.
• Design and implement RESTful APIs, GraphQL services, microservices, and enterprise integration solutions.
• Strong competency in API lifecycle management, API security, governance, versioning, and API Management platform implementation.
• Develop and integrate cloud-native services, event-driven architectures, and distributed application frameworks.
• Apply AI/ML and Generative AI technologies to build intelligent business applications and automation solutions.
• Develop solutions leveraging Large Language Models (LLMs), RAG architectures, AI Agents, embeddings, and vector databases.
• Collaborate with Data Science, Cloud, DevOps, and Platform Engineering teams to operationalize AI/ML solutions.
• Develop automation frameworks and engineering accelerators using Python, Terraform, and cloud-native services.
• Support cloud modernization initiatives involving containers, Kubernetes, DevSecOps, CI/CD, and Infrastructure as Code.
• Design and execute Proof of Concepts (PoCs), pilot implementations, and innovation use cases for API, Cloud, and AI transformation programs.
• Develop technical documentation, architecture diagrams, dashboards, and solution recommendations for client engagements.
• Collaborate with Architecture, Security, Platform, and Development teams to align technology solutions with enterprise standards and governance requirements.
• Provide technical advisory support on API strategy, Cloud Engineering, AI/ML implementation, and application modernization initiatives.

Qualifications:

• 6+ years of experience in Cloud Engineering, Enterprise Application Development, API Engineering, and Full Stack Development.
• Strong understanding of cloud-native architecture principles including microservices, distributed systems, containers, and event-driven architectures.
• Proven experience in designing and developing enterprise APIs and cloud-native applications.
• Hands-on experience with AI/ML, Generative AI, and modern application development technologies.
• Experience working with cloud platforms including Azure, AWS, and GCP.
• Strong understanding of DevSecOps, Infrastructure as Code, CI/CD, and engineering automation practices.
• Experience working in client-facing advisory, consulting, or enterprise engineering roles.
• Strong analytical, problem-solving, and communication skills.
• Bachelors degree in Information Technology, Computer Science, Engineering, or a related discipline.

Technical Expertise:

• Strong expertise in Cloud Platforms including Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP).
• Deep hands-on experience in Python, FastAPI, Flask, Django, and backend application development.
• Strong Full Stack development expertise using React.js, Angular, Node.js, TypeScript, and JavaScript.
• Strong competency in designing and implementing REST APIs, GraphQL services, Microservices, and Enterprise Integration frameworks.
• Experience with API Management platforms including Apigee, Kong, Azure API Management, MuleSoft, or equivalent solutions.
• Strong knowledge of Event-Driven Architecture, Kafka, RabbitMQ, and enterprise messaging platforms.
• Proven expertise in AI/ML technologies including Azure OpenAI, OpenAI APIs, AWS Bedrock, Vertex AI, LangChain, Semantic Kernel, and MLOps.
• Strong competency in developing solutions using LLMs, RAG Architectures, AI Agents, Prompt Engineering, Embeddings, and Vector Databases.
• Experience with containerization and orchestration platforms including Docker, Kubernetes, and OpenShift.
• Strong competency in DevSecOps, CI/CD, GitOps, Platform Engineering, and Infrastructure as Code using Terraform, Azure DevOps, GitHub Actions, Jenkins, and ArgoCD.
• Experience with relational, NoSQL, and vector databases including PostgreSQL, SQL Server, MongoDB, Cosmos DB, Redis, Pinecone, ChromaDB, and FAISS.
• Strong understanding of Observability, Application Performance Monitoring, Logging, Security Monitoring, and Site Reliability Engineering practices.

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