Senior Sustaining Engineer

Reltio is an award-winning cloud software provider that enables Global 2000 enterprises to fully understand their customers and deliver exceptional experiences. We offer a fundamentally better way to create rich customer profiles that include relationships, omni-channel transaction and interaction data, and other valuable insights. Reltio customers include eight of the top 10 global pharmaceutical and life sciences companies, market-leaders in healthcare, financial services, technology, major travel and hospitality brands, and prestigious international luxury consumer brands in fashion, retail, and personal care. 

Do you have a desire to be part of a fast-growing company and dynamic team in a customer-first, collaborative culture where everyone is encouraged to bring their all? If so, apply to join our team!

• First and foremost, you’ll be working on highly scalable and reliable platform services and components that create the foundation of the core Reltio platform architecture
• Supporting, enhancing and fixing solutions that support a rapidly-growing business at a massive scale
• Developing and implementing strong algorithms/techniques for solving problems in a high-volume, high-availability environment
• Pushing the envelope on what's possible and applying pragmatic approaches to building sustainable solutions
• Work with support, product management and core engineering to rapidly deliver solutions and fixes to critical customer-facing obstacles
• Find opportunities for continuous improvements to our system based on customer and field requests
• Continuously look for ways to optimize and streamline the Reltio Platform to provide a better experience for our customers

• 5+ years developing large-scale enterprise systems
• 1+ year development experience in SaaS technologies
• Experience in object-oriented design, data structures, algorithm design, problem-solving, and complexity analysis
• Experience with web UI development with JavaScript frameworks
• Experience debugging server-side Java applications including troubleshooting logs, thread dumps, and connectivity issues
• Working knowledge of scalable and distributed data systems using distributed file systems, Java, and cloud technology
• Experience with big data technologies (ex. Hadoop, MapReduce, Spark) is a plus
• Experience with NoSQL databases (DynamoDB, BigTable, or CosmosDB preferred), distributed indexes is a plus
• Understanding of performance and profiling techniques of complex systems is a plus
• Experience with AWS, GCP, Azure, and distributed/scalable architectures is a plus
• Excellent communication skills
• BS/MS in computer science or equivalent experience