About Centific
Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster.
Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.
About Job
Responsibilities
Develop, test, and maintain backend applications and services using C# and .NET on Microsoft Azure.
Contribute to the development of scalable APIs, Azure Functions, and cloud-native services.
Work with existing codebases, troubleshoot issues, and implement enhancements under the guidance of senior engineers.
Participate in technical discussions, code reviews, and agile development processes.
Build and maintain integrations with databases, messaging systems, and other platform components.
Collaborate with product managers, business analysts, and engineering teams to understand requirements and deliver solutions.
Support CI/CD pipelines, deployment activities, and production monitoring efforts.
Investigate and resolve application defects, performance issues, and operational incidents.
Follow engineering best practices related to code quality, testing, security, and documentation.
Continuously learn and develop expertise in Azure cloud services and modern software engineering practices.
Required Qualifications
2-5 years of professional software development experience.
Experience developing applications using C# and .NET (.NET 6+ preferred).
Familiarity with ASP.NET Core Web APIs and backend service development.
Working knowledge of Microsoft Azure services such as App Services, Azure Functions, Azure SQL, Storage Accounts, or Service Bus.
Experience working with relational databases and SQL.
Understanding of software development lifecycle practices, including source control and CI/CD concepts.
Strong problem-solving skills and willingness to learn new technologies and domain knowledge.
Ability to work effectively in a collaborative team environment.
Good verbal and written communication skills.
Preferred Qualifications
Experience with Azure DevOps, Git, and deployment pipelines.
Familiarity with Entity Framework Core and RESTful API design.
Exposure to event-driven architectures and messaging technologies.
Understanding of containerization technologies such as Docker.
Experience working in regulated industries such as healthcare, life sciences, or financial services.
Interest in cloud-native development, distributed systems, and modern architecture patterns.
Exposure to AI/ML-enabled applications, data pipelines, or analytics platforms.
Tech Stack
Languages
C#, .NET 8+
Backend
ASP.NET Core Web APIs, Azure Functions, Worker Services
Cloud
Microsoft Azure (App Services, AKS / Containers, Service Bus, Event Grid, Azure SQL, Cosmos DB, Blob Storage, Key Vault, Entra ID / MSAL)
Data
SQL Server, Cosmos DB, Entity Framework Core
DevOps
Azure DevOps, Git, CI/CD Pipelines, Docker
Observability
Application Insights, Azure Monitor
Skills Required
- 2–5 years of professional software development experience
- Experience developing applications with C# and .NET, preferably .NET 6+
- Familiarity with ASP.NET Core Web APIs and backend service development
- Working knowledge of Microsoft Azure services, including App Services, Azure Functions, Azure SQL, Storage Accounts, or Service Bus
- Experience with relational databases and SQL
- Understanding of software development lifecycle practices, source control, and CI/CD concepts
- Strong problem-solving skills and willingness to learn new technologies and domain knowledge
- Ability to work effectively in a collaborative team environment
- Good verbal and written communication skills
- Experience with Azure DevOps, Git, and deployment pipelines
- Familiarity with Entity Framework Core and RESTful API design
- Exposure to event-driven architectures and messaging technologies
- Understanding of containerization technologies such as Docker
- Experience working in regulated industries such as healthcare, life sciences, or financial services
- Interest in cloud-native development, distributed systems, and modern architecture patterns
- Exposure to AI/ML-enabled applications, data pipelines, or analytics platforms
Centific Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Centific and has not been reviewed or approved by Centific.
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Healthcare Strength — Feedback suggests core medical, dental, and vision coverage is comprehensive, with mental‑health support included. U.S. offerings also include HSA/FSA and are described as solid insurance options.
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Flexible Benefits — Feedback suggests flexible hours and work‑from‑anywhere options are widely promoted, with flexible PTO available in some contexts. Learning stipends and development programs add adaptable elements to the package.
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Parental & Family Support — Feedback suggests paid parental leave is explicitly available to all parents. This positions family leave as an accessible component of the overall package.
Centific Insights
What We Do
Zero distance innovation for GenAI creators and industries Expertly engineering platforms and curating multimodal, multilingual data, we empower the ‘Magnificent Seven’ and enterprise clients with safe, scalable AI deployment We a team of over 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We bring platforms, partners and 1.8 million vertical domain experts to create high-quality pre-trained datasets, fine-tuned industry-specific LLMs, and RAG pipelines supported by vector databases. These innovations can reduce GenAI costs by up to 80% and bring GenAI solutions to market 50% faster in 230 locales.
