--- title: 'Support Engineer at SingleStore-LinkedIn' canonical: 'https://feeny.ai/job/support-engineer-singlestore-linkedin-united-states-p0m7ay8qjpsg' type: 'job' last_seen: '2026-10-14' --- # Support Engineer at SingleStore-LinkedIn - **Company:** SingleStore-LinkedIn - **Location:** United States - **Work type:** remote - **Posted:** 2026-09-24 - **Last confirmed live:** 2026-10-14 - **Apply:** https://job-boards.greenhouse.io/singlestore-linkedin/jobs/8231667 ## Job description Position Overview Our customers are at the forefront of some of the most interesting data in the world, using SingleStore to push the boundaries every day. To do this well, they leverage the expertise of our Support Engineering Team, composed of technical subject matter experts on the frontlines of critical customer issues. This Support Engineering role skews far more towards engineering than typical technical support as you will need to delve into database internals and memory allocators, investigate Linux and host-related configurations, and diagnose SQL query behavior, all in the name of resolving complex database issues. Our Support Engineers are constantly learning a wide range of customer systems and technical concepts and are thrilled by the new and exciting challenges that they encounter on a regular basis. To accurately identify the source and solution of an issue, this team will take the time to learn about the customer’s business and systems while helping to improve their fundamental SingleStore and database operational knowledge. This often requires additional research and time spent on learning new technologies and tools outside of SingleStore while also being deeply engaged with multiple departments including development teams, query performance engineering, product management, infrastructure SREs, etc. Required Hours: - Monday to Friday US West Coast (09:00 AM - 06:00 PM PST) What you'll do: - Provide email and live technical support to our enterprise customers, acting as the first line of defense for complex technical issues, bug diagnosis, or resolving critical outages. - Identify and reproduce product issues, perform QA, and submit formal bug reports or feature requests to the appropriate Engineering team. - Collaborate closely with software developers, sales engineers, and technical account managers to keep all teams up to date with current issues a customer may be facing. - Work to streamline and improve various Support and Engineering processes and tools, author new internal run-books or public documentation, and help the team continually improve efficiency and effectiveness. - Ensure customers have a positive support experience during every interaction. Your Experience: - 4+ years of advanced customer-facing technical support experience. - Experience with MySQL or MySQL-like (MariaDB, Aurora, etc) database and SQL Query Optimization. - A solid Kubernetes and sysadmin skill set. Also, comfortable testing software and finding its limits, hands-on with Linux, checking utilization of system I/O, measuring network throughput, and are comfortable navigating large log files. - Experience with a scripting or coding language. Whether it’s Python, Bash, or Go, you should have a go-to solution for quick and dirty problem-solving and be able to navigate through our code base. - Familiarity with distributed systems and AWS/GCP. You understand how organizations deploy and maintain distributed applications and services across multiple machines Bonus points for knowing how to analyze them for performance bottlenecks and remove single points of failure. - Strong written and verbal English communication skills. Have the ability to explain technical concepts to a wide range of end-users. About us: SingleStore delivers the cloud-native database with the speed and scale to power the world’s data-intensive applications. With a distributed SQL database that introduces simplicity to your data architecture by unifying transactions and analytics, SingleStore empowers digital leaders to deliver exceptional, real-time data experiences to their customers. SingleStore is venture-backed and headquartered in San Francisco with offices in Sunnyvale, Raleigh, Seattle, Boston, London, Lisbon, Bangalore, Dublin and Kyiv. Consistent with our commitment to diversity & inclusion, we value individuals with the ability to work on diverse teams and with a diverse range of people. To all recruitment agencies: SingleStore does not accept agency resumes. Please do not forward resumes to SingleStore employees. SingleStore is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company. SingleStore values individuals for their unique skills and experiences, and we’re proud to offer roles in a variety of locations across the United States. Salary is based on permissible, non-discriminatory factors such as skills, experience, and geographic location, and is just one part of our total compensation and benefits package. For candidates residing in California, please see our[California Recruitment Privacy Notice](https://www.singlestore.com/singlestore-california-recruitment-privacy-notice/). For candidates residing in the EEA, UK, and Switzerland, please see our[EEA, UK, and Swiss Recruitment Privacy Notice.](https://www.singlestore.com/recruitment-privacy/) COG00072 ## About SingleStore-LinkedIn ## Company Overview - **One-liner**: SingleStore is a real-time distributed SQL database platform that enables enterprises to run transactions and analytics on a single system for intelligent, data-intensive applications. - **Entity Type**: Private (Venture-backed; parent company Vector Capital Management) - **Headquarters**: San Francisco, California, United States - **Founded**: 2011 - **Founders**: Eric Frenkiel, Nikita Shamgunov, Adam Prout ## Core Business - **Primary industry**: Database software / Real-time data platform (RDBMS, cloud data services) - **Target customers**: B2B, mid-market to enterprise, spanning industries like finance, e-commerce, SaaS, and AI-driven applications - **Mission/purpose**: “One platform for all data, built so you can engage with insight in every moment” – enabling real-time decision-making and AI workloads. ## Products & Services - **SingleStore (Database Engine)**: Distributed, relational SQL database that supports transactions, analytics, JSON, geospatial, key-value, vector, and time-series data. Deployable on-premises, in any cloud, via Kubernetes, or as a managed service. - **SingleStore Helios**: Fully managed cloud database service (DBaaS) for simplified deployment and scaling. - **SingleStore Aura**: AI-powered performance optimization and management layer (mentioned on homepage). - **Data Lake Integration**: Supports Apache Iceberg and other open table formats for hybrid transactional/analytical processing (HTAP). ## Market Standing - **Valuation/Market Cap**: Not publicly disclosed (private company; last known funding round $964M total raised) - **Key Metric**: Annual revenue ~$100M (LinkedIn estimate); total funding $964.2M across 13 rounds (seed through Series E and later rounds) - **Notable Investors/Partners**: Backed by Vector Capital (parent), with prior investors including prominent venture firms (e.g., from Series rounds). Partners include cloud providers (AWS, Azure, GCP) and data ecosystem players. - **Growth Signals**: 388 employees with offices in US, UK, Portugal, India, Ukraine, Canada, Singapore, Japan, France, Australia. Recent acquisitions of MEMSQL Portugal and SingleStore UK. Active hiring in engineering, sales, and operations (14+ open positions as of mid-2026). LinkedIn follower growth +14.4% yearly. ## Competitive Advantages - **Unified HTAP**: Combines transactions and analytics in a single system, eliminating the need for separate databases and ETL pipelines. - **Real-time performance**: Sub-millisecond queries on petabyte-scale data with ANSI SQL support. - **Deployment flexibility**: On-prem, cloud, hybrid, Kubernetes – runs anywhere Linux runs. - **Vector & AI capabilities**: Native support for vector search and time-series, positioning for enterprise AI workloads. - **Strong engineering talent pool**: Employees recruited from top tech companies (Microsoft, Google, AWS, Oracle, Snowflake, Databricks) and top universities. ## Strategic Focus - **Enterprise AI enablement**: Optimizing the platform for AI/ML workloads (vector databases, real-time inference). - **Cloud expansion**: Growing Helios (DBaaS) and multi-cloud support (Aura platform). - **Data lake integration**: Deepening support for open formats like Apache Iceberg to compete in the lakehouse space. - **Global scaling**: Expanding sales and engineering presence in India, Portugal, and other regions. ## Why Work Here - **Culture**: “Customers First, Performance Driven, Innovation Forward, Open & Honest Communication” – values emphasized on careers page. - **Remote/Hybrid**: “Work remotely if it makes sense for you, your position, your team, and the company.” Many roles remote or hybrid; offices in SF, Sunnyvale, Seattle, Raleigh, London, Lisbon, Kyiv, Hyderabad, Tokyo, Singapore, Paris. - **Benefits**: Comprehensive health/dental/vision, 401k, flexible time off, parental leave, stock grants (equity), home office stipend ($500), cell/internet stipend, fitness subsidy, Modern Health app, charitable donation matching with paid volunteer time off, fertility/family formation reimbursement. - **Engineering culture**: High performance, modern tech stack (distributed systems, cloud-native, AI platforms). Strong internal mobility and career development. - **Employee ratings**: 4.0/5.0 overall on LinkedIn (Work-Life 4.0, Compensation 4.0, Culture 3.8, Career 3.9). ## Sources 1. [LinkedIn Company Page](https://www.linkedin.com/company/singlestore) 2. [SingleStore Careers Page](https://www.singlestore.com/careers/) 3. [SingleStore Jobs (Greenhouse)](https://job-boards.greenhouse.io/singlestore-linkedin) 4. 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