Principal Consultant (Post Sales Engineer)

We at Aerospike built our company around mission driven engineering.

We're engineers, not academics. At our headquarters in Mountain View, our engineering offices in Bangalore, and our sales offices world-wide, we've assembled a global team that combines practical expertise in building high-performance products using distributed systems engineering, cloud computing, networking, databases, and software development. Whatever their role, each Aerospiker combines an uncompromising mindset with an unwavering focus on executing in service of the mission and on behalf of our community.

We're here for the long haul. Continually improving Aerospike takes time, energy, and the hard work of many people. Our business model – with full speed and scale, open-source funded by our Enterprise Edition – allows us to continue to innovate in systems and data structures, to provide high grade support, and be here to help when our customers and users need it.

Job Summary

Aerospike’s Professional Services team is responsible for working with and building tools and toolsets to enable Aerospike customers to fully integrate and harness Aerospike features, as seen fitting for their use cases.

Key Responsibilities

·       Design cloud and on-premise data architectures for Aerospike customers and solution partners

·       Work with customers in designing solutions using Aerospike and other ecosystem components like Kafka, Spark, Presto, and JMS

·       Lead projects with customers and liaison with internal Aerospike teams with a focus on customer success

·       Help with hands-on implementation of Aerospike wherever needed

Required Skills

·       5+ years of experience in customer management and software architecture design

·       Strong hands-on knowledge of cloud services and architecture - AWS/GCP/Azure

·       Strong knowledge of data modeling and design in NoSQL databases such as Aerospike, MongoDB, Cassandra, ScyllaDB, Redis or DynamoDB

·       Working knowledge of Big Data areas like Kafka, Spark, Presto/Trino

·       Working knowledge of Relational Databases and relational data modeling.

·       Strong understanding of application development and deployment lifecycle

Preferred Skills

·       Skills in any programming language like Python/Java/NodeJS/C/C++

·       Experience working with DevOps platforms such as Ansible, Terraform, and Kubernetes

·       Understanding of Graph databases, Time Series Databases

Salary Range: $180,000 - $210,000