CES Family of Companies

Backend Engineer

• Design and develop backend/platform components using .NET (C#) and microservices architecture
• Build and maintain scalable APIs and backend services for enterprise applications
• Contribute to platform-level design, including event-driven and event sourcing patterns
• Integrate AI capabilities into application workflows and SDLC processes using appropriate AI tools/frameworks
• Leverage AI-assisted development tools (e.g., GitHub Copilot) to improve productivity and code quality
• Collaborate with cross-functional teams to integrate AI features within core backend systems
• Implement system integration, performance optimization, and backend observability
• Participate in design discussions, troubleshooting, and system improvements

Senior .NET AI Engineer

AI Engineer

• Design and implement advanced AI/GenAI features across applications and SDLC workflows
• Build and deploy AI solutions using Azure AI Foundry and LLM platforms
• Develop multi-agent workflows using frameworks like LangChain, LangGraph, Semantic Kernel, or LlamaIndex
• Implement RAG architectures, prompt engineering, and vector-based retrieval systems
• Drive AI-assisted development using GitHub Copilot and establish best practices
• Build scalable full-stack applications using Python, TypeScript/JavaScript, and/or C#
• Develop APIs, backend services, and work with relational and NoSQL databases
• Implement observability, monitoring, and performance optimization for AI systems
• Lead troubleshooting, design decisions, and system integrations
• Mentor junior engineers and contribute to AI governance and best practices

Senior Full-Stack AI Engineer

• Validate backup and recovery plans to meet RPO/RTO objectives for PostgreSQL and other DBMS environments.
• Support high availability and reliability across PostgreSQL AWS RDS/Aurora environments.
• Maintain database security through AWS IAM integration, parameter groups, and encryption standards.
• Monitor workloads and query performance for optimal system behavior.
• Confidently support operational needs of PostgreSQL environments on AWS.
• Participate in Database On-Call Rotation.
• Diagnose database issues at SQL and engine layers; collaborate with development teams for solutions.
• Identify automation opportunities using scripting, cloud-native tooling, or observability platforms.
• Perform performance tuning using EXPLAIN/EXPLAIN ANALYZE and monitoring tools.
• Learn and share knowledge of Kondragunta’s diverse application data landscapes (SaaS, OLTP, reporting, warehousing).
• Streamline procedures and develop robust documentation.
• Cross-train team members on PostgreSQL and cloud DBMS technologies.
• Mentor new DBREs/DBAs in best practices.
• Expand coverage to additional DBMS technologies: MySQL, SQL Server, DB2, MongoDB, Amazon Redshift, Neptune, DynamoDB, MemoryDB, ElastiCache/Redis, Snowflake.
• Develop cross-platform DBMS competency.
• Leverage AI-assisted analysis tools for root cause identification and observability.
• Contribute to reliability engineering initiatives improving resiliency, automation, and operational efficiency.

Senior Database Engineer

Full-stack Engineer

• Customize and extend D365 CE modules using Power Apps, JavaScript, and C#.
• Build and maintain Power Automate flows and integration endpoints.
• Work on Sprint-based deliveries with clear unit testing and version control.
• Contribute to portal build-outs using Power Pages (with UX team).
• Collaborate with QA and BAs for feature validation and deployment.

Senior .NET AI Engineer

Senior Full-Stack AI Engineer

Senior Database Engineer

Software Engineer – D365