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Aerospike

High-performance NoSQL database for real-time processing

Solutions Engineer

Pre-Sales Solution EngineeringUpdated on Nov 14
Full-timeBoston, MA, USA$220k - $250k

About the Job

Requirements

  • Bring executive presence, communication, and presentation skills to establish credibility with C-level leaders, principal architects, and developers.
  • Demonstrate expertise in NoSQL and relational databases, distributed systems, MPP data warehouses, and specialized platforms such as graph, time-series, and AI/ML feature stores.
  • Have hands-on Linux experience and understand high-concurrency, high-throughput, mission-critical, and zero-downtime systems.
  • Apply practical knowledge of Spark, Hadoop, HBase, HDFS, Hive, Impala, and adjacent data-processing ecosystems.
  • Guide enterprise prospects through architecture reviews, competitive bake-offs, proofs of concept, and time-sensitive technical decisions.
  • Use analytical, troubleshooting, and architectural problem-solving skills to isolate root causes and develop executable solutions.
  • Manage complex evaluations, competing stakeholders, and shifting priorities with minimal oversight while keeping commercial objectives in view.
  • Capture customer requirements and convert them into actionable feedback for Product Management, Engineering, and R&D.
  • Represent Aerospike through architecture workshops, developer meetups, hackathons, technical content, and industry events.
  • Have software engineering experience and coding ability in at least one core language: Java, C/C++, Python, or Go.

Responsibilities

  • Lead technical discovery and design multi-region architectures that address demanding data, scale, latency, and resilience requirements.
  • Apply expertise in databases, distributed systems, data platforms, and high-throughput workloads, and explain complex technology decisions to varied audiences.
  • Connect technical choices to business value, competitive differentiation, return on investment, and customers’ broader data strategies.
  • Design and lead proofs of concept, benchmarks, whiteboarding sessions, demos, and architecture reviews to validate performance, scalability, and business impact.
  • Partner with Account Executives to shape deal strategy, engage stakeholders, address architectural risk, and advance complex opportunities.
  • Diagnose customer problems, develop practical solutions, and address technical objections.
  • Capture recurring requirements, architectural patterns, and competitive intelligence to inform Product, Engineering, Customer Success, partners, and enablement.
  • Lead executive and engineering conversations across North America and help convert technical credibility into regional revenue.

Desired Qualifications

  • Bring operational or architectural expertise with Aerospike or comparable distributed databases such as CockroachDB, Yugabyte, MongoDB, Cassandra, or Couchbase.
  • Hold advanced AWS, Azure, or GCP certifications, or have equivalent hands-on experience designing secure, scalable, production-grade cloud environments.
  • Demonstrate command of microservices, containers, Docker, Kubernetes, and operational patterns for running distributed applications at scale.
  • Understand how networking protocols, CPU architecture, NVMe and SSD behavior, memory hierarchy, and other hardware dynamics affect system performance.
  • Have experience as a Sales Engineer, Solutions Engineer, or Principal Consultant at a high-growth technology company, with a record of influencing complex enterprise decisions.
  • Be willing and able to travel up to 30% across North America to support customers, prospects, partners, and technical events.

About the Company

Aerospike

High-performance NoSQL database for real-time processing

Aerospike builds high-performance, scalable NoSQL databases for real-time applications. Its core product is a NoSQL database optimized for speed and low latency, capable of millions of transactions per second, with deployments on-premises, in the cloud, or in hybrid environments, and support for Kubernetes and Docker. It distinguishes itself by delivering real-time, high-throughput data processing at scale with features like cross-datacenter replication, strong consistency, and active-active deployments for enterprise use. The company aims to provide fast, reliable access to large volumes of data for mission-critical applications in real time.

Company size
201-500
Company stage
Late Stage VC
Total funding
$271M
Headquarters
Mountain View, CA
Founded
2009

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