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Sr Advanced Software Engr at Honeywell · Hyriko
via Career pages · 1w ago
Sr Advanced Software Engr Honeywell
Full-time Hybrid
Location: India Type: Full-time Posted: 1w ago
We are seeking a highly experienced Senior Full Stack Developer with 10+ years of software development experience and strong expertise in .NET, C#, Azure Cloud Services, SQL Server, PostgreSQL, and AI/ML technologies. The ideal candidate will be responsible for designing, developing, and maintaining scalable enterprise applications, cloud-native solutions, and data-driven platforms.
This role requires hands-on experience in full-stack application development, cloud architecture, database design, API development, and the application of AI/ML solutions to solve business challenges.
Key Responsibilities Application Development
Design, develop, and maintain scalable full-stack applications using .NET Core, ASP.NET Core, and C#, Python and .Net Build and optimize RESTful APIs and backend services for enterprise-grade applications. Develop responsive, user-friendly web applications and ensure seamless integration with backend systems. Implement software design patterns, coding standards, and best practices to ensure high-quality deliverables. Conduct code reviews and contribute to architectural and technical design discussions. Cloud Development
Design, deploy, and manage applications on Microsoft Azure. Develop cloud-native solutions leveraging Azure services. Implement secure, scalable, and highly available cloud architectures. Work with Azure App Services, Azure Functions, Azure Storage, Azure SQL, Azure Kubernetes Service (AKS), and Azure DevOps.
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Get email alerts Monitor and optimize cloud resources for performance, security, and cost efficiency. Work with SQL Server and PostgreSQL to design efficient database schemas and data models. Write, optimize, and maintain complex SQL queries, stored procedures, and database objects. Perform database performance tuning, indexing, and query optimization. Manage data workflows, data integration processes, and ensure data integrity across systems. Support business intelligence, reporting, and analytics initiatives. AI/ML & Advanced Analytics
Apply Artificial Intelligence (AI) and Machine Learning (ML) techniques to solve business problems and improve operational efficiency. Collaborate with data scientists and stakeholders to develop and deploy predictive and analytical models. Integrate AI/ML capabilities into enterprise applications. Support data analytics, statistical modeling, and business insight generation. Evaluate emerging AI technologies and recommend innovative solutions. Architecture & Integration
Design scalable and maintainable application architectures. Implement microservices and distributed system architectures. Integrate enterprise applications, databases, cloud services, and third-party systems. Ensure application security, reliability, scalability, and maintainability. Collaboration & Leadership
Work closely with cross-functional teams including Product Management, Data Engineering, Business Analysts, and DevOps teams. Mentor junior developers and provide technical leadership. Participate in Agile ceremonies including sprint planning, retrospectives, and technical reviews. Drive technical innovation and continuous improvement initiatives.
Education Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, or a related field.
Experience 10+ years of experience in software development. Extensive experience in enterprise application development using .NET and C#. Hands-on experience with Microsoft Azure Cloud Services. Strong experience in database design, development, and optimization using SQL Server and PostgreSQL. Experience working on AI/ML-enabled applications or data-driven solutions. Required Technical Skills
Microservices Architecture React.js, Angular, or equivalent frameworks
- CSS3 Cloud Platforms & Services
Azure Kubernetes Service (AKS) Cloud Security and Governance
AI/ML Machine Learning Fundamentals Data-Driven Application Development Agile/Scrum Methodologies
Preferred Qualifications Experience with Databricks, Azure Machine Learning, or AI services. Knowledge of Generative AI and Large Language Models (LLMs). Experience with event-driven architectures and messaging platforms. Azure Certifications (AZ-204, AZ-305, AZ-400, AI-102) are highly desirable. Experience working in large-scale enterprise or cloud transformation projects. Excellent problem-solving and analytical abilities. Strong communication and stakeholder management skills. Ability to lead technical discussions and mentor team members. Strong collaboration and teamwork mindset. Ability to work in a fast-paced, Agile environment.
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