Job Description Summary

Job Description

Site Overview

Role Overview

• Lead the architecture design and development of scalable Azure-based applications leveraging App Services Functions Container Apps Service Bus Events Storage and Redis.

• Architect and implement microservices and containerization solutions using Docker Kubernetes and Azure Container Apps for high availability and resilience.

• Integrate cutting-edge AI capabilitiesAzure Cognitive Services Azure OpenAI Azure Machine Learningfor features like summarization embeddings LLM integrations and custom ML pipelines using Python and SDKs Copilot Agentic AI Gen AI and emerging AI technologies

• Act as the primary technical authority and SME for application development guiding solution decisions reviewing designs and enforcing best practices in clean code defensive coding and secure architecture.

• Drive CI/CD adoption and version control strategies by setting up GitHub Actions branch policies PR validations and automated testing to ensure code quality and rapid delivery.

• Mentor and manage a cross-functional team of developers fostering collaboration conducting code reviews and leading Agile ceremonies to deliver on sprint goals.

• Collaborate with product owners UX designers and DevOps teams to translate business requirements into robust technical specifications and ensure seamless deployment pipelines.

• Ensure solutions adhere to enterprise security compliance and governance standards and continuously optimize for performance cost and reliability.

The Ideal Candidate

Ideal candidate should have experience in Azure architecture CI/CD

Required Qualifications

• 1015 years of professional software development experience with at least 5 years leading teams and designing cloud-native architectures.

• Proven track record delivering enterprise-grade applications on Microsoft Azure.

• Strong communicator capable of engaging stakeholders at all levels and translating technical concepts into business value.

• Bachelors or Masters degree in Computer Science Engineering or a related field.

• Relevant Azure certifications (e.g. Azure Solutions Architect Azure Developer) preferred.

• Proficiency Core (C#) Core and advanced experience with Entity Framework Core or EF6.

• Expert in Angular (v10) and TypeScript for responsive component-driven front-end development.

• Deep knowledge of Azure PaaS offerings: App Service Functions Container Apps Service Bus Event Grid Storage Cosmos DB SQL Server on Azure.

• Containerization expertise with Docker Kubernetes (AKS) and Azure Container Apps; ability to define Helm charts or Bicep/Terraform modules.

• Strong Python skills for AI/ML development including building GenAI solutions and leveraging frameworks like Azure ML SDK and Agentic frameworks.

• Experience integrating Azure AI services: Cognitive Services (Vision Speech Language) Azure OpenAI Azure Machine Learning for model training deployment and MLOps Copilot Agentic AI Gen AI and emerging AI technologies

• Solid understanding of SOLID principles design patterns and enterprise architecture frameworks.

• Hands-on with DevOps tooling: GitHub GitHub Actions Azure DevOps Pipelines and artifact management.

• Expertise in relational and NoSQL databases (SQL Server PostgreSQL Cosmos DB) with strong data modelling and optimization skills.

Preferred Qualifications

• Effective Communicator: Possess the ability to articulate complex technical concepts in a clear and concise manner facilitating understanding across a wide range of audiences.

• Solution-Oriented Mindset: Demonstrated ability to approach challenges with a solutions-first attitude proactively identifying and addressing potential obstacles.

• Change Advocate: Capable of spearheading and implementing change showcasing a proactive approach to driving improvements and leading teams towards new initiatives.

• Leadership Qualities: Show a strong capacity to lead influence and guide teams fostering a collaborative and productive work environment.

• Technical Translator: Excel at translating and breaking down intricate technical topics ensuring that stakeholders at all levels have a clear understanding of the subject matter.

• Analytical Thinker: Possess an analytical and detail-oriented mindset critically evaluating information derived from multiple sources and drawing meaningful conclusions.

• Team Player: Exhibit a strong willingness to collaborate and work cohesively with colleagues understanding the importance of collective growth and knowledge sharing.

• Adaptability: Demonstrate resilience and adaptability in an ever-changing environment staying updated with the latest technological advancements and best practices in the field of database administration.

At GE Aerospace we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here you will have the opportunity to work on really cool things with really smart and collaborative people. Together we will mobilize a new era of growth in aerospace and defense. Where others stop we accelerate.

#LI-VR1

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