Software Engineer III

CData Software develops data and AI platform technology. The Software Engineer III designs, scales, and evolves its cloud and AI platforms, including multi-tenant architecture, backend services, and AI-enabled capabilities, while contributing technical leadership and mentorship.

Responsibilities:

• 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
• 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

Requirements:

• 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
• 8+ years of professional software development experience
• Strong expertise in object-oriented programming and system design (Java, Kotlin, C#, TypeScript, or similar)
• 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)
• Strong communication skills and ability to collaborate across time zones
• Bonus: Experience with front-end frameworks like React/TypeScript
• Bonus: Understanding of LLMs, prompt engineering, or ML integration