Job Description
What is the opportunity?A Lead Full Stack Developer is responsible for designing, developing and maintaining legacy and "Cloud First" applications written primarily in C# and focused on .Net Core and Azure cloud platform. The group is continuously working to improve our Agile, Engineering, and Dev Ops practices and this role will be expected to actively participate in these efforts.At its core, this role requires excellent problem-solving skills and C#/.Net, Java, Python and full stack coding capability. This role will need to effectively communicate, collaborate, and influence engineering and business team members and senior management across many projects and departmental boundaries.
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and to achieve goals in creative and effective ways.
The candidate solves unique and complex problems that have a broad impact on business and develops both front-end and back-end solutions. Designs, develops, updates/maintains solutions and provides technical guidance to other Team Members of technology.
At this level the main challenge is to identify causes and implement solutions to complex & critical business problems in a multifunctional project, assessing and communicating issues of technological impact on the business.
The colleague in this position would be comfortable with the following activities:
Evaluates application software packages and makes recommendations to senior management.
Leads & provides guidance to other colleagues in new product reviews, tests, and pilots.
Collects & in-depth analyzes business requirements for large & critical projects.
Performs in-depth feasibility studies, translates complex requirements into an appropriate design.
Perform complex engineering activities inclusive of performance tuning, monitoring, and deployment.
Research, influence and implement vendor dependency to simplify the architecture. Design and build APIs to help make use of large data sets, infrastructure and user experience.
Implement, maintain and update CI/CD pipelines on a cloud environment.
Collaborate with business partners, architects and other groups to identify complex technical and functional needs of systems based on priority.
Collaborate with multiple, enterprise-wide distributed performing teams to deliver new capabilities in business applications.
Leverage Gen-AI/AI capabilities such as Claude, CoPilot, others – to generate code, test data generation and automated testing. Demonstrate keen interest in leveraging automation for efficient delivery of engineering capabilities.
Provides programming expertise and business analysis skills within broad business area, usually as a senior member of a project team, in analyzing, designing, modifying, and developing business applications.
Analyzes and develops logical data/database designs, data models across multiple computing environments.
Complies with architectural standards and established methodologies and practices.
Must have:
Minimum of 10+ years in C# (.NET Core), Visual Studio, Apache Web Services, XML, and Restful-API/Kafka & event-driven integration capabilities.
10+ years of experience in Design and implementing cloud-based architecture using Azure services like Services Logic Apps, Azure Functions, Azure Dev Ops, Azure Event Hub, Azure Redis, Cosmos DB, Blob Storage, Key Vault, Azure Repos.
Develop and deploy scalable, secure, and efficient cloud-based applications using Azure services. Strong background in REST API, system design and application integration, including data mapping between source and target systems.
Knowledge of containerization using Docker and Kubernetes.
Experience with various Design Patterns (MVC, MVVM, etc.), SOA and other Architectural concepts. Must have development experience in Azure Integration Services.
This engineer will need to be very proficient in managing large sets of data, including excellent proficiency with ANSI-SQL querying structured and unstructured data sources (Snowflake,…
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