Senior Software Engineer

Dive deep into Digital! For 20 years Nimbus Data Systems has been developing top-tier digital solutions for the world’s leading companies, keeping them in line with the latest technology trends. Join in and provide innovations for the future! The Client is a leading multi-brand technology solutions provider to business, government, education and healthcare customers in the United States, the United Kingdom and Canada. A Fortune 500 company and member of the S&P 500 Index, Client was founded in 1984 and employs approximately 15,000 coworkers. For the trailing twelve months ended March 30, 2023, the company generated Net sales over $22 billion. Responsibilities: 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 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 Requirements: 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 Perks and Benefits: Flexible work schedule Fixed financial bonus issued upfront on a quarterly basis, covering the average market price of private medical care and sport card - B2B contract Present on the occasion of birthday, wedding, child birth E-learning accounts for Coursera, O'Relly, Udemy Corporate language school