Company Description:
About Sutherland:
Artificial Intelligence. Automation. Cloud engineering. Advanced analytics. For business leaders, these are key factors of success. For us, they’re our core expertise.
We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.
We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.
For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA. We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland
Unlocking digital performance. Delivering measurable results
Job Description:
Responsibilities & Core Competencies
Engineering & Technical Delivery
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Module Development: Design, build, and maintain backend modules using .NET 8, C#, ASP.NET Core Web API, and Entity Framework Core.
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Cloud Infrastructure & Containerization: Containerize and deploy application services across Hybrid On-Premise environments, Google Cloud Platform (GCP), and Microsoft Azure(Azure App Services, Azure Functions, Azure SQL, and Azure Service Bus).
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Google Workspace Integration: Develop robust integrations using Google Workspace APIs(Gmail API, Drive API, Calendar API, Sheets REST API, Google Chat Apps/Webhooks, and OAuth 2.0 / Service Account authorization).
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AI & Agentic Workflows: Implement modern AI architecture patterns, LLM function calling, and intelligent agent workflows using Semantic Kernel and the Gemini API.
Quality, Security & Testing
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Automated Testing: Perform comprehensive unit and integration testing (xUnit / NUnit) to guarantee code meets functional, technical, and performance specifications.
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Code Reviews & DevSecOps: Actively participate in peer pull request (PR) reviews, enforce secure coding standards, and remediate security findings or defect logs through to closure.
Agile & Collaboration
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Sprint Execution: Formulate calculated effort estimates (story points, time allocations), strictly adhere to Scrum framework ceremonies, and collaborate seamlessly across feature squads.
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Technical Documentation: Author and maintain clear technical documentation, API specifications, system logical flowcharts, and release notes for all assigned software deliverables.
Qualifications:
Required Experience & Skills
- Bachelor or Master degree in Computer Science, Engineering or a related subject.
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Experience: 3–5 years of hands-on software development experience with enterprise Microsoft technologies and cloud platforms.
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Core Tech Stack: Strong proficiency in C#, .NET Core / modern .NET (8+), ASP.NET Core Web API, and relational databases (SQL Server, EF Core / ADO.NET).
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Workspace & API Integrations: Practical experience integrating backend systems with Google Workspace APIs(REST APIs, OAuth 2.0 authentication flows, Service Account authorization, Webhooks).
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Cloud Platform: Practical experience developing and deploying services on Microsoft Azure.
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Methodology: Proven experience working within an Agile/Scrum delivery model using Jira or Azure DevOps.
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Quality Assurance: Experience writing unit/integration tests and working with continuous integration/deployment (CI/CD) pipelines.
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Communication: Ability to articulate technical concepts clearly to both technical peers and business stakeholders.
Added Advantage / Good-to-Have Skills
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AppSec & DevSecOps Governance: Familiarity with Cycode(or similar Application Security Posture Management / ASPM tools) for automated SAST, dependency scanning, secret detection, and code supply chain security guardrails within CI/CD pipelines.
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Google Workspace Extensions: Hands-on experience developing Google Workspace Apps, Chat Add-ons, or Apps Script extensions.
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AI & Agentic Frameworks: Exposure to AI integrations, LLM function calling, or Semantic Kernel / Agent Frameworks.
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Modern Infrastructure: Knowledge of containerization (Docker, Kubernetes/AKS) and event-driven architectures.
Additional Information:
All your information will be kept confidential according to EEO guidelines.
