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
• Design, build, and maintain large-scale distributed systems on Azure using .NET/C#
• Navigate and contribute to complex, legacy and modern codebases with minimal ramp-up time
• Engage directly with business stakeholders to rapidly build domain expertise and translate requirements into technical solutions
• Drive architectural decisions, trade-off analyses, and technical strategy for your area
• Own backend services end-to-end: APIs, data access, cloud infrastructure, CI/CD pipelines
• Mentor and unblock other engineers; raise the bar on engineering quality and practices
• Collaborate across organizational boundaries to align technical work with business outcomes
• Identify and resolve systemic issues in production environments, tooling, and development workflows
Required Qualifications
• 10+ years of professional software engineering experience
• Strong proficiency in C# and .NET (including .NET 6+ / ASP.NET Core)
• Deep experience with Microsoft Azure (App Services, Azure Functions, Service Bus, Azure SQL, Cosmos DB, Storage, Key Vault, Entra ID)
• Demonstrated ability to operate independently in ambiguous, complex environments with large codebases and distributed systems
• Strong track record of shipping and maintaining production backend systems at scale
• Experience in regulated or domain-heavy industries (healthcare, life sciences, finance, or similar)
• Excellent communication skills with a proven ability to build relationships with non-technical stakeholders and translate between business and engineering contexts
• Comfort with end-to-end ownership: from requirements gathering through deployment and operational support
Preferred Qualifications
• Prior experience in Health & Life Sciences technology (EHR/EMR systems, clinical data, regulatory compliance, HIPAA, HL7/FHIR, etc.)
• Experience with Azure DevOps, CI/CD pipelines, and Infrastructure as Code (Bicep/Terraform)
• Familiarity with event-driven architectures, microservices patterns, and distributed messaging
• Experience with data-intensive systems, pipelines, or ML/AI integrations in a healthcare context
• History of leading cross-team initiatives or serving as a technical anchor on high-impact projects
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
- 10+ years of professional software engineering experience
- Strong proficiency in C# and .NET, including .NET 6+ and ASP.NET Core
- Deep experience with Microsoft Azure, including App Services, Azure Functions, Service Bus, Azure SQL, Cosmos DB, Storage, Key Vault, and Entra ID
- Ability to operate independently in ambiguous, complex environments with large codebases and distributed systems
- Strong track record of shipping and maintaining production backend systems at scale
- Experience in regulated or domain-heavy industries such as healthcare, life sciences, or finance
- Excellent communication skills and ability to build relationships with non-technical stakeholders
- Experience with end-to-end ownership from requirements gathering through deployment and operational support
- Prior experience in health and life sciences technology, including EHR/EMR systems, clinical data, regulatory compliance, HIPAA, or HL7/FHIR
- Experience with Azure DevOps, CI/CD pipelines, and infrastructure as code using Bicep or Terraform
- Familiarity with event-driven architectures, microservices patterns, and distributed messaging
- Experience with data-intensive systems, pipelines, or ML/AI integrations in a healthcare context
- History of leading cross-team initiatives or serving as a technical anchor on high-impact projects
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.
