In the age of digital transformation, data has become increasingly vital to core business operations. But with so many cloud applications and platforms available today, data has become more decentralized than ever.
CData is the real-time data connectivity company. Our easy-to-use integration products allow users to work with their data where, when, and how they need it. With a robust library of real-time data connectors, users can access data from hundreds of applications, tools, and systems – on-premises or in the cloud.
CData is a global company, headquartered in Chapel Hill, NC with about 400 team members worldwide. More than 10,000 organizations rely on CData technologies to overcome data fragmentation challenges and unlock value from diverse, dispersed data assets.
CData Connect Cloud revolutionizes data access to cloud applications, databases, and warehouses, offering live data consumption and analysis with seamless connectivity to popular tools. Our SaaS application simplifies the process, providing a consistent interface across diverse system sources. Join us in shaping the future of data connectivity.
As a Software Engineer III at CData, you will play a pivotal role in building our flagship cloud product: Connect Cloud. You’ll focus on developing scalable backend services and systems as part of a modern, cloud-native SaaS platform designed for multi-tenancy. In addition to core platform development, you’ll also contribute to new initiatives that leverage AI technologies, including the use of large language models (LLMs) and tools like LangChain4j, to enhance user experience and streamline workflows. Your expertise will help deliver reliable, high-performance features that are both innovative and user-friendly.
Location(s): Remote (EST Hours) / Chapel Hill, NC
Day-to-Day Responsibilities:

Responsibilities include but are not limited to:

• Collaborate with the team to devise innovative solutions for product design.
• Design and develop cloud-based multi-tenant SaaS applications using scalable technologies.
• Design and develop software solutions using Java and Kotlin in a microservice architecture.
• Collaborate on new AI initiatives involving using tools such as LangChain4j, Model-Context-Protocol, RAG, etc.
• Engage fully in sprint planning, sizing, and estimating processes, daily stand-up meetings, and retrospectives.
• Write unit tests and debug code to ensure robustness and reliability.
• Research & present on technologies applicable to the team.
• Design for supportability and observability of components.

Qualifications:

• Bachelor’s degree in computer science from an accredited institution, or equivalent professional experience in software engineering with a strong business and technical foundation.
• 8+ years of progressive experience as a software engineer, with a proven track record of delivering complex, scalable solutions.
• Expertise in modern programming paradigms, with advanced proficiency in Java and Kotlin, and a deep understanding of object-oriented and functional programming principles.
• Experience with enterprise-grade messaging systems, including Kafka and RabbitMQ.
• Deep technical knowledge of diverse database technologies, including relational databases (MS-SQL, PostgreSQL), NoSQL/document databases (CosmosDB, MongoDB), and search/indexing solutions like ElasticSearch.
• Cloud-native development experience, with a strong focus on Microsoft Azure (preferred) and working knowledge of AWS.
• Proficient in observability and performance monitoring tools such as DataDog and Grafana.
• Exposure to AI-enhanced systems or frameworks such as LangChain4j, RAG, Model Context Protocol, OpenAI APIs, or vector databases is a plus.
• Demonstrated excellence in troubleshooting, root cause analysis, and complex debugging, ensuring optimized and resilient application behavior under production loads.
• Hands on experience designing and implementing comprehensive unit and integration test frameworks to support continuous delivery pipelines.
• Well-versed in modern development tools including IntelliJ/VS Code, Git, Azure DevOps, and Jira.
• Thorough understanding of software architecture and design patterns, including microservice architecture, RESTful/Web APIs, and general design patterns.
• Production-grade experience with containerization and orchestration technologies, notable Docker and Kubernetes.
• Proven ability to work both independently and within cross-functional teams, leading initiatives and mentoring junior engineers.
• Exceptional communication skills, both written and verbal, enabling effective collaboration with technical and non-technical stakeholders.
• Highly self-driven and adaptable, with a strong passion for learning, innovation, and solving complex engineering challenges creatively.

• Collaborate with the team to devise innovative solutions for product design.
• Design and develop cloud-based multi-tenant SaaS applications using scalable technologies.
• Design and develop software solutions using Java and Kotlin in a microservice architecture.
• Collaborate on new AI initiatives involving using tools such as LangChain4j, Model-Context-Protocol, RAG, etc.
• Engage fully in sprint planning, sizing, and estimating processes, daily stand-up meetings, and retrospectives.
• Write unit tests and debug code to ensure robustness and reliability.
• Research & present on technologies applicable to the team.
• Design for supportability and observability of components