Software Engineer III

About CData Software, Inc.

CData is the AI gateway between AI and the systems that run the business. One control point connects agents and individuals to data across hundreds of enterprise systems, grounds every request in company context, governs it down to the record and routes it to the most efficient model. Built on CData's data layer, it delivers accurate answers, governed access and falling cost, whether the user is an agent, an application or a person. CData powers AI workloads for Anthropic, Databricks, Microsoft, Google, Palantir and more than 10,000 customers worldwide.

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. Learn more at www.cdata.com or contact info@cdata.com.

Software Engineer III

Job Summary

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. 

Location(s): Remote, U.S. / North Carolina Research Triangle or East Coast (preferred)

Eligibility: Applicants must be US-based and legally authorized to work in the United States without the need for employer sponsorship, now or in the future.

Key Duties & Responsibilities:

Responsibilities include but are not limited to:

• 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.

Travel Required: No regularly scheduled travel is expected for this role. 

US Only: The typical base pay range for this role across the U.S. is $160,000-$190,000 per year. The actual range may vary depending on specific locations and experience.

Data Access & Compliance: This role may access, process, or support systems containing confidential customer data, including PII, PHI/ePHI, and other regulated or sensitive information. The employee must comply with CData’s Information Classification and Management Policy, HIPAA-related safeguards where applicable, access-control requirements, data-handling procedures, and incident-reporting obligations.

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