We are looking for a seasoned Technical Lead with deep expertise in full-stack development and hands-on experience with Azure OpenAI services. This role involves leading a team of developers, designing scalable solutions, and driving innovation through the integration of AI capabilities into enterprise applications.

Responsibilities

Collaborate with product owners, architects, and stakeholders to define technical requirements and AI-driven use cases.Lead the design, development, and deployment of applications leveraging Azure OpenAI models (e.g., GPT, Embeddings, Fine-tuning).Guide the team in integrating AI capabilities into web and mobile applications using REST APIs and SDKs.Provide technical leadership, mentorship, and conduct code/design reviews.Ensure secure, scalable, and high-performing solutions using modern cloud-native practices.Stay updated with advancements in AI/ML, Azure services, and development frameworks.Develop POCs and prototypes to validate AI-driven features and business ideas.Identify and mitigate technical risks and ensure compliance with security and governance standards.Drive DevOps practices including CI/CD, monitoring, and automated testing.

Basic Qualifications

7+ years of experience in full-stack development.5+ years of experience with .NET, Node.js, or Express for backend development.3+ years of experience with front-end frameworks (React, Angular, Vue.js).Strong experience with Azure OpenAI, including model deployment, prompt engineering, and usage optimization.Proficiency in JavaScript, HTML, CSS, and modern architectural patterns (MVC, MVVM, Microservices).Experience with hybrid mobile frameworks (e.g., Cordova, Xamarin).Solid understanding of object-oriented principles, database design, and performance tuning.Familiarity with unit testing frameworks (Mocha, Jasmine, Ava).Experience with Git, CI/CD pipelines, and Agile/Scrum methodologies.Hands-on experience with Azure PaaS services and cloud-native development.Exposure to containerization (Docker) and orchestration (Kubernetes).

Preferred Qualifications

Bachelor’s or master’s degree or business management, or in a related field is must.Experience with AI/ML integration in enterprise applications.Ability to design and optimize prompt engineering strategies for LLMs.Strong problem-solving and creative thinking skills.Excellent communication and stakeholder management abilities.Relevant certifications in Azure, AI/ML, or cloud architecture.

Our Commitment to a Culture of Inclusion & Belonging
Ecolab is committed to fair and equal treatment of associates and applicants and furthering the principles of Equal Opportunity to Employment. We will recruit, hire, promote, transfer and provide opportunities for advancement based on individual qualifications and job performance in all matters affecting employment, compensation, benefits, working conditions, and opportunities for advancement. Ecolab will not discriminate against any associate or applicant for employment because of race, religion, color, creed, national origin,citizenship status, sex, sexual orientation, gender identity and expressions, genetic information, marital status, age, or disability.