Senior Software Engineer - Connect Cloud
π Job Overview
- Job Title: Senior Software Engineer - Connect Cloud
- Company: CData Software - US
- Location: Chapel Hill, NC (Remote)
- Job Type: Full-Time
- Category: Backend Developer, Cloud Engineer, AI Specialist
- Date Posted: 2025-06-11
- Experience Level: 10+ years
- Remote Status: Remote/On-site/Hybrid (Remote - EST Hours)
π Role Summary
- Key Responsibilities: Develop scalable backend services and systems for the Connect Cloud product, contributing to AI initiatives to enhance user experience.
- Key Skills: Java, Kotlin, C#/.NET 8, React/Typescript, Microservice Architecture, Cloud-native Development, Azure, AWS, Kafka, RabbitMQ, MS-SQL, PostgreSQL, MongoDB, Docker, Kubernetes.
- Key Technologies: Connect Cloud, AI-enhanced systems, LangChain4j, RAG, Model Context Protocol, OpenAI APIs, vector databases.
π Enhancement Note: This role requires a strong background in backend development, cloud-native architecture, and familiarity with AI technologies to drive innovation and user experience enhancements in the Connect Cloud product.
π» Primary Responsibilities
- Backend Development: Design and develop cloud-based multi-tenant SaaS applications using scalable technologies, with a focus on Microsoft Azure and working knowledge of AWS.
- AI Initiatives: Contribute to new AI initiatives leveraging tools like LangChain4j, RAG, Model Context Protocol, and OpenAI APIs to enhance user experience and streamline workflows.
- Collaboration: Collaborate with the team to devise innovative solutions for product design, and engage fully in sprint planning, sizing, and estimating processes, daily stand-up meetings, and retrospectives.
- Code Quality: Write unit tests and debug code to ensure robustness and reliability, and design for supportability and observability of components.
- Research & Presentation: Research and present on technologies applicable to the team, and mentor junior engineers as needed.
π Enhancement Note: This role involves a high level of technical complexity, requiring expertise in backend development, cloud-native architecture, and AI technologies to deliver high-performance, innovative, and user-friendly features for the Connect Cloud product.
π Skills & Qualifications
Education: Bachelorβs degree in computer science from an accredited institution, or equivalent professional experience in software engineering with a strong business and technical foundation.
Experience: 8+ years of progressive experience as a software engineer, with a proven track record of delivering complex, scalable solutions.
Required Skills:
- Expertise in modern programming paradigms, with advanced proficiency in Java, Kotlin, C#/.NET 8, and React/Typescript.
- 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 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.
Preferred Skills:
- Experience with enterprise-grade messaging systems, including Kafka and RabbitMQ.
- 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.
π Web Portfolio & Project Requirements
Portfolio Essentials:
- Backend Projects: Include examples of scalable backend services and systems developed using Java, Kotlin, C#/.NET 8, and cloud-native architecture.
- AI Projects: Showcase AI-enhanced systems or frameworks such as LangChain4j, RAG, Model Context Protocol, OpenAI APIs, or vector databases.
- Collaboration Projects: Demonstrate successful collaboration with cross-functional teams to devise innovative solutions for product design.
Technical Documentation:
- Code Quality: Document code quality approaches, including unit testing, debugging, and performance optimization techniques.
- Architecture Decisions: Explain architecture decisions and trade-offs made in previous projects, highlighting your understanding of microservice architecture and cloud-native development.
- AI Integration: Describe how AI technologies have been integrated into your projects, including any challenges faced and solutions implemented.
π Enhancement Note: This role requires a strong portfolio demonstrating expertise in backend development, cloud-native architecture, and AI technologies, with a focus on scalable, innovative, and user-friendly features for the Connect Cloud product.
π΅ Compensation & Benefits
Salary Range: $150,000 - $180,000 per year (Based on industry standards for a Senior Software Engineer with 8+ years of experience in cloud-native development and AI technologies)
Benefits:
- 11 Paid Holidays
- 20 Days of PTO
- Employer-paid Medical, Dental, and Vision plans (100% for employee, 50% for dependents)
- HSA with Company Contribution
- Employee Assistance Program
- 401k with 6% Immediately Vested Company Match
- Professional development opportunities
Working Hours: Full-time, with flexible hours and remote work options available.
π Enhancement Note: The salary range is estimated based on industry standards for a Senior Software Engineer with 8+ years of experience in cloud-native development and AI technologies, with regional adjustments made for the Chapel Hill, NC area.
π― Team & Company Context
π’ Company Culture
Industry: Software as a Service (SaaS), Data Connectivity, Cloud Computing
Company Size: Medium (400 team members worldwide)
Founded: 2003
Team Structure:
- Backend Team: Experienced engineers specializing in Java, Kotlin, C#/.NET 8, and cloud-native development.
- AI Team: Specialists in AI-enhanced systems, LangChain4j, RAG, Model Context Protocol, OpenAI APIs, and vector databases.
- Cross-Functional Teams: Collaborative teams involving designers, marketers, and business stakeholders.
Development Methodology:
- Agile/Scrum methodologies with sprint planning, daily stand-up meetings, and retrospectives.
- Code review, testing, and quality assurance practices.
- Deployment strategies, CI/CD pipelines, and server management.
Company Website: CData Software
π Enhancement Note: CData Software fosters a collaborative, innovative, and user-focused culture, with a strong emphasis on cloud-native development and AI technologies to drive user experience enhancements in the Connect Cloud product.
π Career & Growth Analysis
Web Technology Career Level: Senior Software Engineer, specializing in backend development, cloud-native architecture, and AI technologies.
Reporting Structure: Reports directly to the Engineering Manager, with cross-functional collaboration with designers, marketers, and business stakeholders.
Technical Impact: Drives innovation and user experience enhancements in the Connect Cloud product through scalable backend services and AI initiatives.
Growth Opportunities:
- Technical Leadership: Develop expertise in AI-enhanced systems and cloud-native architecture, with opportunities to mentor junior engineers and lead technical initiatives.
- Product Management: Gain experience in product design and roadmap planning, with opportunities to influence the product direction and strategy.
- Architecture & Design: Deepen expertise in microservice architecture and cloud-native development, with opportunities to contribute to architectural decisions and design patterns.
π Enhancement Note: This role offers significant growth opportunities in technical leadership, product management, and architecture & design, with a strong focus on cloud-native development and AI technologies.
π Work Environment
Office Type: Hybrid (Remote - EST Hours / Chapel Hill, NC)
Office Location(s): Chapel Hill, NC (Remote - EST Hours)
Workspace Context:
- Remote Work: Collaborate with team members remotely using modern communication and project management tools.
- On-site Collaboration: Interact with team members and stakeholders in the Chapel Hill, NC office as needed.
- Cross-Functional Collaboration: Work closely with designers, marketers, and business teams to devise innovative solutions for product design and user experience enhancements.
Work Schedule: Full-time, with flexible hours and remote work options available, accommodating different time zones and work-life balance needs.
π Enhancement Note: CData Software offers a flexible, collaborative, and user-focused work environment, with a strong emphasis on cloud-native development and AI technologies to drive innovation and user experience enhancements in the Connect Cloud product.
π Application & Technical Interview Process
Interview Process:
- Technical Preparation: Brush up on modern programming paradigms, cloud-native development, AI technologies, and relevant databases and messaging systems.
- Coding Challenge: Solve complex coding challenges related to backend development, cloud-native architecture, and AI technologies, demonstrating your problem-solving skills and code quality approaches.
- System Design: Present your system design approach for a given scenario, showcasing your understanding of microservice architecture and cloud-native development.
- Behavioral & Cultural Fit: Demonstrate your ability to work effectively within cross-functional teams, driving innovation and user experience enhancements in the Connect Cloud product.
Portfolio Review Tips:
- Backend Projects: Highlight scalable backend services and systems developed using Java, Kotlin, C#/.NET 8, and cloud-native architecture.
- AI Projects: Showcase AI-enhanced systems or frameworks such as LangChain4j, RAG, Model Context Protocol, OpenAI APIs, or vector databases, emphasizing user experience and workflow enhancements.
- Collaboration Projects: Demonstrate successful collaboration with cross-functional teams to devise innovative solutions for product design and user experience enhancements.
Technical Challenge Preparation:
- Backend Challenges: Practice backend development challenges focusing on cloud-native architecture, scalability, and performance optimization.
- AI Challenges: Familiarize yourself with AI-enhanced systems or frameworks such as LangChain4j, RAG, Model Context Protocol, OpenAI APIs, or vector databases, and prepare for challenges involving user experience and workflow enhancements.
- System Design Challenges: Brush up on microservice architecture and cloud-native development, and practice system design challenges focusing on scalability, performance, and user experience.
ATS Keywords:
- Programming Languages: Java, Kotlin, C#/.NET 8, React/Typescript
- Web Frameworks: Microservice Architecture, Cloud-native Development
- Server Technologies: Microsoft Azure, AWS, Kafka, RabbitMQ, MS-SQL, PostgreSQL, MongoDB, Docker, Kubernetes
- Databases: MS-SQL, PostgreSQL, MongoDB, CosmosDB, ElasticSearch
- Tools: IntelliJ/Visual Studio/VS Code, Git, Azure DevOps, Jira, DataDog, Grafana
- Methodologies: Agile, Scrum, Code Review, Testing, Quality Assurance
- Soft Skills: Collaboration, Communication, Problem-Solving, Innovation, User Experience
- Industry Terms: SaaS, Data Connectivity, Cloud Computing, AI-enhanced Systems, LangChain4j, RAG, Model Context Protocol, OpenAI APIs, vector databases
π Enhancement Note: This role requires a strong understanding of backend development, cloud-native architecture, and AI technologies, with a focus on scalable, innovative, and user-friendly features for the Connect Cloud product. Prepare thoroughly for technical interviews, emphasizing your problem-solving skills, code quality approaches, and system design strategies.
π Application Steps
To apply for this Senior Software Engineer - Connect Cloud position:
- Customize Your Portfolio: Highlight your expertise in backend development, cloud-native architecture, and AI technologies, with a focus on scalable, innovative, and user-friendly features for the Connect Cloud product.
- Optimize Your Resume: Emphasize your experience in backend development, cloud-native architecture, and AI technologies, and tailor your skills and qualifications to match the role requirements.
- Prepare for Technical Interviews: Brush up on modern programming paradigms, cloud-native development, AI technologies, and relevant databases and messaging systems, and practice coding challenges and system design exercises.
- Research the Company: Familiarize yourself with CData Software's products, services, and company culture, and prepare thoughtful questions to ask during the interview process.
β οΈ Important Notice: This enhanced job description includes AI-generated insights and web development/server administration industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.
Application Requirements
Candidates should have a Bachelor's degree in computer science or equivalent experience, with 8+ years in software engineering. Proficiency in modern programming languages and cloud-native development is essential.