Sr. Software Engineer Lead

Description

Design, build, deploy, and support secure cloud-based applications and services that meet business and customer requirements.

• Develop and maintain both front-end and back-end components of modern web applications using React, TypeScript, Python, SQL, and related technologies.
• Build scalable APIs, integrations, and data-driven applications using modern engineering practices.
• Leverage AI-assisted development tools to improve engineering productivity, code quality, testing, documentation, and delivery velocity.
• Support the integration of AI capabilities, including LLMs, Generative AI services, AI agents, and intelligent automation features, into existing and new business applications.
• Contribute to the development, integration, testing, deployment, and support of AI-enabled solutions, including Retrieval-Augmented Generation (RAG), intelligent search, conversational experiences, and workflow automation capabilities.
• Assist with the implementation and operationalization of agentic AI solutions, including prompt engineering, tool integration, vector search, and orchestration frameworks under the guidance of senior technical leaders.
• Collaborate with product owners, business stakeholders, architects, and engineering teams to deliver scalable end-to-end solutions supporting reporting, analytics, dashboarding, and business process automation initiatives.
• Participate in all phases of the software development lifecycle, including requirements analysis, solution design, development, testing, deployment, and production support.
• Apply Agile and Lean development practices to deliver features and enhancements within established timelines and quality standards.
• Participate in code reviews, technical design discussions, and continuous improvement activities to promote engineering excellence and software quality.
• Build and support cloud-native solutions utilizing Azure services, including Azure OpenAI, Azure AI Search, Azure Functions, Service Bus, and related platform capabilities.
• Support CI/CD automation, Infrastructure as Code initiatives, containerized deployments, and DevOps practices utilizing GitHub, Docker, Kubernetes, and Terraform.
• Troubleshoot application, integration, and performance issues, identify root causes, and implement sustainable solutions.
• Monitor and support production applications while meeting operational, reliability, and service-level objectives.
• Collaborate effectively with cross-functional and global teams to deliver business value and technical solutions.
• Continuously learn and apply emerging AI, cloud, and software engineering technologies to improve team effectiveness and accelerate solution delivery.
  Qualifications

Graduate degree or equivalent experience.
Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 7+ years of experience with Agile/Lean software development practices.
• 4+ years of experience with cloud environments and architecture, preferably Azure.
• Experience automating CI/CD pipelines and working with source control systems such as Git and GitHub.
• Hands-on experience with JavaScript, TypeScript, React, SQL databases, and modern web application development.
• Strong experience developing applications and services using Python and modern API development practices.
• Experience building and supporting scalable, secure enterprise-grade applications using modern architecture patterns, microservices, and service-oriented architectures.
• Experience working with Docker, Kubernetes, and cloud-native application deployment practices.
• Experience building infrastructure using Infrastructure as Code, preferably Terraform.
• Demonstrated use of AI-assisted development tools to improve engineering productivity, software quality, testing, documentation, and development velocity.
• Some hands-on experience designing, developing, and deploying applications that integrate Large Language Models (LLMs), Generative AI services, AI agents, or intelligent automation capabilities.
• Familiarity with AI application patterns such as Retrieval-Augmented Generation (RAG), prompt engineering, vector databases, semantic search, conversational AI, or knowledge-grounded AI solutions.
• Experience consuming and integrating AI platform capabilities such as Azure OpenAI, Azure AI Search, Azure Functions, and related Azure services.
• Familiarity with agent orchestration frameworks such as Semantic Kernel, LangChain, AutoGen, or similar technologies.
• Familiarity with Modular Agent Design: Leverage standards like Model Context Protocol (MCP) to define reusable, secure, and composable tool interfaces
• Ability to contribute to the development, deployment, and support of agentic AI solutions under the guidance of senior technical leaders.
• Strong verbal and written communication skills with the ability to collaborate effectively across cross-functional and global teams.
• Experience participating in code reviews, technical design discussions, and engineering best practices.

Preferred Qualifications

• Experience building AI-powered copilots, dashboarding solutions, analytics platforms, reporting systems, intelligent search solutions, or workflow automation tools.
• Experience integrating AI capabilities into existing enterprise applications and business processes.
• Familiarity with multi-agent architectures, function calling, and tool orchestration patterns.
• Experience with Azure OpenAI, Azure AI Foundry, Semantic Kernel, LangChain, LlamaIndex, or similar AI frameworks.
• Experience implementing Responsible AI, AI governance, and security practices.
• Azure Developer, Azure AI Engineer, or related certifications.
• Experience in healthcare, analytics, reporting, or other highly regulated industries