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Design, develop, and maintain scalable cloud-native backend applications using .NET (C#) and Java/Python. Collaborate in cross-functional Agile teams, implement unit tests/TDD, set up CI/CD pipelines, use Git for version control, and deploy on Azure/GCP/AWS. Migrate legacy .NET apps to modern .NET and create database schemas in SQL Server.

Design and execute functional, regression, integration, end-to-end, and exploratory tests for web and API cloud-native applications. Build and maintain automation frameworks, validate microservices and APIs, integrate tests into CI/CD, track defects, and collaborate with product and engineering teams to drive shift-left quality practices.

Design, build, and maintain scalable, secure GCP infrastructure using IaC (Terraform/Deployment Manager). Implement CI/CD, monitoring, backup/disaster recovery, and security/compliance controls. Optimize performance, resolve complex infrastructure issues, document architectures, and collaborate with cross-functional teams to support data and AI workloads.

The Technical Program Manager will lead the delivery lifecycle, ensuring effective execution and quality in software development across various technical stacks and Agile methodologies.

Sell cloud, AI, data, and professional services to enterprise customers. Build pipeline within assigned territory, engage executive sponsors, coordinate internal and partner resources, negotiate services/SOWs, forecast revenue, and drive adoption of cloud professional services to exceed quota.

The Data Architect will design and manage cloud-based data architectures, ensure data governance, and collaborate with engineering teams while leveraging GCP and big data technologies.

Design, build, and deploy end-to-end AI/ML solutions focused on LLMs and RAG. Lead data pipelines, vectorization, model fine-tuning, evaluation, and production LLMOps. Engage customers, translate business needs into technical requirements, and run workshops to enable adoption.

The role involves leading the design and deployment of generative AI solutions, acting as a technical architect, creating secure data strategies, and advising C-level executives on AI transformation.

Serve as a pre-sales technical advisor bridging sales, engineering, and delivery to design, propose, and ensure operational stability of cloud solutions (GCP preferred). Develop SOWs, lead technical presentations, build proofs-of-concept, support migrations, manage SLA and incident/RCA processes, and drive managed-services success and customer advocacy.

Lead application architecture and solution design for scalable, secure enterprise apps on cloud (primarily GCP). Define technical roadmaps, mentor teams, design APIs/microservices, select technologies (frontend and backend), ensure performance, scalability, CI/CD and integration strategies, and collaborate with stakeholders to deliver complex .NET Core/C# solutions.