Senior Solutions Architect

As an ideal candidate you will have 5 years of software development experience 3 years of presales experience with enterprise software Solid understanding and ability to code with two or more modern scripting languages e g Python Node js SQL and or popular programming languages e g C C Java C Experience with scalable and highly available distributed systems Excellent presentation and interpersonal skills A Bachelor s degree or equivalent work experience The ability to travel up to 20 Nice to have Presales experience with enterprise software Experience selling databases and or deploying applications with any of the major cloud providers Experience with database programming and data models A MongoDB Certification What you do at MongoDB Design systems applications and infrastructure to help drive software development projects using MongoDB Advise customers on architectures patterns and strategies for making the best use of MongoDB Expertly articulate the business value of MongoDB solutions Align to support sales with activities such as technical discovery demos proof of value presentation sizing and documentation of technical decision criteria working across a number of opportunities in parallel Translate technical concepts and patterns into business benefits for management and executives Act as a liaison collecting feedback from the field to relay back to the Product Management team Help drive demand through participation in both industryknown tradeshows as well accountbased marketing events Demonstrate resilience and sound judgment in dealing with business challenges Proactively seek opportunities to support and mentor other presales team members and share standard methodologies What you will learn The rapidly growing MongoDB product suite including Core database server Atlas fully managed cloud database service Atlas Data Lake Atlas FullText Search Realm and Charts Other Tools and connectors Ops Cloud Manager Compass Connector for BI Connector for Spark Marketrelevant complementary technologies e g Apache Kafka Kubernetes Modern and popular architecture design patterns methodologies and concerns e g microservices DevOps cloud security