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CData Software
CData Software

Software Engineer III

Location

Remote restrictions apply
See all remote locations

Salary Estimate

N/AIconOpenNewWindows

Seniority

N/A

Tech stacks

Software Development
AI
Data
+44

Visa

U.S. visa required

Permanent role
13 hours ago
Apply now

About CData Software, Inc.

CData is the data layer between AI and ROI—delivering the connectivity, context, and control that make enterprise AI more accurate. One platform for live access and data replication across 350+ sources, semantic intelligence that ensures context-aware responses, and built-in governance for every AI-to-data interaction. Powering AI and analytics workloads for Anthropic, Databricks, Microsoft, Google, Palantir, and more than 10,000 customers worldwide.

Behind that impact is a global team of passionate problem-solvers, engineers, and innovators who are redefining what’s possible in data connectivity.

Headquartered in Chapel Hill, North Carolina, CData has over 500 team members, with offices in North America, Europe, and Asia. We take pride not just in what we build, but in how we build it: together, with curiosity, creativity, and a shared drive to push boundaries.

About The Role

As a Software Engineer III, you are a senior technical contributor responsible for designing, scaling, and evolving CData’s cloud and AI platforms. You operate in complex technical domains such as multi-tenant architecture, platform scalability, reliability, and AI-enabled capabilities.

You work on high-impact problems, contribute to technical design for key initiatives, and partner closely with Product, Design, and Engineering. You raise the engineering bar through mentorship and strong technical standards.

What You'll Do

  • Contribute to and lead components of cloud-native, scalable, multi-tenant architecture.
  • Design and develop robust, scalable backend services and APIs using Java, Kotlin, TypeScript, or C#.
  • Partner with product, design, and engineering leaders to shape technical solutions to business problems.
  • Solve complex problems in distributed systems, data infrastructure, observability, performance, and reliability.
  • Contribute to the design and implementation of AI/LLM-powered features and services.
  • Guide and support other engineers, lead technical design reviews, contribute to team best practices, and champion engineering excellence.
  • Take features from concept to production with thoughtful design, testing, instrumentation, and supportability.
  • Evaluate new technologies and tools, prototype solutions, and share insights with the team.
  • Drive initiatives end-to-end, from problem framing and design through implementation, rollout, and long-term support.

AI-First Development

  • Apply AI-first development practices to improve engineering velocity and quality.
  • Use AI-assisted development tools (e.g., code generation, copilots, agentic workflows) to accelerate design, implementation, and debugging.
  • Leverage AI to rapidly prototype solutions, validate ideas, and reduce time from concept to production.
  • Apply AI in testing workflows (test generation, edge case discovery, regression analysis) to improve coverage and reliability.
  • Use AI-driven approaches for code review, refactoring, and documentation to maintain high engineering quality.
  • Integrate AI into observability and incident response workflows (e.g., anomaly detection, root cause analysis).
  • Exercise sound engineering judgement when using AI-generated outputs, ensuring correctness, security, and maintainability.

Qualifications

  • 8+ years of professional software development experience.
  • Strong expertise in object-oriented programming and system design (Java, Kotlin, C#, TypeScript, or similar).
  • Bonus: Experience with front-end frameworks like React/TypeScript.
  • Proven experience building scalable REST APIs and cloud-native microservices.
  • Strong knowledge of relational (SQL Server, Postgres) and NoSQL databases (MongoDB, Elasticsearch).
  • Experience with message brokers (Kafka, RabbitMQ) and event-driven architectures.
  • Hands-on experience with containerization and orchestration (Docker, Kubernetes).
  • Experience with cloud platforms (Azure or AWS).
  • Bonus: Understanding of LLMs, prompt engineering, or ML integration.
  • Strong communication skills and ability to collaborate across time zones.

Benefits & Perks / What You’ll Get

  • As part of our comprehensive benefits offerings, we provide Medical, Dental, and Vision plans with company-paid insurance premiums
  • Health Saving Account offering with company contribution to help mitigate increasing health costs
  • Flexible Savings Account and Dependent Care FSA
  • Generous 20-day PTO and 11 paid holidays
  • 401k with 100% company match up to 6% of contribution
  • A remote-friendly, high-trust culture that empowers collaboration, celebrates curiosity, and encourages innovation
  • Work closely with your manager to define professional development and learning opportunities that match your career goals

About CData Software

👥51-200
📍Chapel Hill, North Carolina, United States
🔗Website

CData Software Service

CData Software product / service
CData Software product / service
CData Software product / service
CData Software product / service
CData Software product / service

How does CData Software work?

CData makes it easy to connect, integrate, and automate your enterprise data.

Company culture

Enhance Productivity

By standardizing and streamlining how systems interact with data our products reduce development costs, slash architectural complexity, and eliminate ongoing maintenance burdens. Furthermore, the diversity of our base ensures real-world testing and performance optimization that is virtually impossible to replicate.

Commitment to Standards

Our technologies are built to help customers tame the internet Tower of Babel, not to add new languages. Our engineers are committed to bridging the divide between applications and data. SQL-based connectivity, based on established data standards like ODBC, JDBC, ADO.NET, ODATA, and JSON provides a common, robust and ubiquitous bridge.

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