Cloud Software Engineering Advisory Lead

• Lead the planning, design, and delivery of cloud and software engineering solutions aligned with client business and technology goals.

• Engage with stakeholders to assess cloud and software engineering requirements and provide strategic guidance and technical advisory support.

• Drive cloud transformation, application modernization, integration, and engineering initiatives across enterprise environments.

• Evaluate existing technology landscapes and recommend suitable cloud architecture and engineering practices.

• Promote a culture of innovation, collaboration, and adherence to industry best practices.

• Stay current with emerging technologies, cloud platforms, software engineering methodologies, and agile delivery approaches.

• Provide leadership across cloud migration, modernization, integration, security, and optimization programs.

• Support cloud cost management initiatives through effective resource planning, governance, and utilization strategies.

• Lead and mentor engineering teams while ensuring successful project delivery.

• Collaborate with cross-functional stakeholders to deliver scalable, secure, and high-performing solutions.

• Bachelor's degree, Master's degree, or equivalent practical experience in a relevant field.

• Relevant cloud certifications, including:

• Azure Solutions Architect Expert (AZ-305)

• DevOps Engineer Expert (AZ-400)

• 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.

• 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.

• 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.

• 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.

• 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.

• 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