Experience

• Proven experience designing and implementing cloud solutions based on architectural best practices, primarily within Microsoft Azure environments.
  
• Extensive experience in cloud transformation, migration, modernization, systems integration, cloud security assessments, and cloud financial management (FinOps).
  
• At least 10 years of software development, architecture, and engineering experience.
  
• Demonstrated experience leading and mentoring software engineering teams.
  

Required Technical Skills

Cloud & Architecture

• Strong expertise in designing and implementing enterprise-grade cloud solutions, with a primary focus on Microsoft Azure.
  
• Solid understanding of enterprise networking, security principles, and identity and access management (IAM).
  
• Experience working with software-as-a-service (SaaS) platforms and large-scale distributed systems.
  

Software Engineering

• Strong knowledge of microservices architecture and implementation patterns.
  
• Experience designing and consuming RESTful and GraphQL APIs.
  
• Proficiency in data modeling, relational databases, and NoSQL databases.
  
• Experience with distributed caching technologies such as Redis.
  
• Experience with messaging and event-streaming technologies such as Kafka, ActiveMQ, or similar platforms.
  
• Familiarity with search and indexing technologies such as Elasticsearch.
  

DevOps & Delivery

• Experience with Azure DevOps services and cloud-based development practices.
  
• Ability to design, implement, and manage DevOps solutions across the software delivery lifecycle.
  
• Strong understanding of Agile methodologies, CI/CD pipelines, DevSecOps practices, and secure software engineering principles.
  

Leadership & Communication

• Proven ability to lead technical discussions, influence stakeholders, and drive successful outcomes across multiple teams.
  
• Strong written and verbal communication skills with the ability to engage both technical and non-technical audiences.
  
• Comfortable operating in fast-paced, dynamic environments with minimal supervision.
  

Preferred Qualifications

• Experience with serverless and cloud-native technologies, including Azure Functions, Logic Apps, Container Apps, or similar services.
  
• Understanding of Generative AI concepts, including Large Language Models (LLMs) and enterprise AI use cases.
  
• Familiarity with frameworks and platforms used for Generative AI application development, such as LangChain, LlamaIndex, OpenAI APIs, Azure OpenAI, AWS Bedrock, or similar technologies.

Originally posted on Himalayas