Senior Software Engineer

• Design, build, and operate components of a large-scale distributed search and recommendation platform
• Develop and maintain backend APIs and platform services supporting the search ecosystem (preferably .NET / C#)
• Build and maintain data pipelines for indexing, analytics, and behavioral signal processing using technologies such as Spark and Airflow
• Design and build services that run in Kubernetes environments (AKS), collaborating closely with DevOps and SRE teams on deployments and operational readiness
• Support HA search infrastructure, ensuring reliability and performance of indexing and query workloads
• Contribute to graph-based recommendation systems leveraging Neo4j and behavioral data signals
• Troubleshoot and optimize distributed systems performance, search pipelines, and data processing jobs
• Collaborate with DevOps and SRE teams to ensure platform services integrate smoothly with CI/CD pipelines, containerization, and production deployment processes
• Participate in architecture discussions and contribute to the evolution of the home grown SmartSearch platform

AI-Driven Engineering and Innovation

• Leverage AI-assisted development tools and LLMs, such as GitHub Copilot or similar technologies, to accelerate engineering productivity and rapid prototyping
• Prototype and implement AI-enabled solutions that improve search capabilities, platform efficiency, or development workflows
• Explore and apply agentic AI architectures, RAG, and AI-driven analytics where applicable
• Familiarity with emerging AI integration approaches such as MCP for connecting AI systems to enterprise tools and data platforms
• Analyze large volumes of search and behavioral data to identify patterns and propose innovative solutions
• Contribute to rapid POC development and experimentation to accelerate delivery of new capabilities

Must Have 

• 5+ years of hands-on cloud experience (Azure preferred), working with production systems
• 1+ years of hands-on Experience with search platforms (Apache Solr preferred, Elasticsearch acceptable)
• Must have experience building or operating distributed systems or data pipelines (Spark, Airflow, etc.)
• Hands-on Experience working in Kubernetes environments (AKS preferred)
• Hands-on strong backend engineering experience building APIs or platform services (.Net/Preferred )

Nice to Have

• Expert Experience with .NET / C#
• Experience with graph databases (Neo4j) or recommendation systems
• Exposure to AI-assisted development or modern AI use cases

Technology Stack

• Apache Solr
• Neo4j graph database
• .NET / C# APIs
• Apache Spark
• Apache Airflow
• Kubernetes (AKS)
• Azure cloud
• Helm-based deployment environments
• Distributed data pipelines and indexing systems