As a Technical Support Engineer, you'll provide first line support to users, troubleshoot issues, guide product usage, and enhance documentation.
About QuestDB
As a specialized database, QuestDB stores, processes and analyzes time series data in real-time, with a focus on reliability, extreme performance and simplicity. It provides best-in-class hardware efficiency and robust features, saving costs and accelerating time-to-value.
Our open source repository has gathered 17k stars and QuestDB is the fastest growing database in the time-series category, according to DB-Engines. We are a product-first company with a large community of developers. As a team, we are globally distributed, remote-first and backed by leading venture capital firms and Y Combinator.
Teams have had success with QuestDB across a wide range of industries, such as Financial Services, Energy and Space Exploration. Category leading companies such as OKX, Mizuho, and Airbus rely on QuestDB for large-scale, data-intensive production systems. Emerging and disruptive startups also leverage QuestDB to gain a significant edge within traditional industries.
The role
As a Technical Support Engineer at QuestDB, you’ll be the first line of technical support for our users and customers across open-source and enterprise environments. You’ll help developers troubleshoot issues, guide them through product usage, and ensure a smooth experience with our high-performance time series database.
This role is ideal for someone early in their career who is technically curious, communicative, proactive, and enjoys solving real-world problems. You’ll work closely with our engineering team, contribute to improving documentation and product feedback loops, and grow your skills in systems, databases, and developer tooling.
We are a remote-first company, but for this role we are looking for someone based in the UK.
Responsibilities
- Respond to user questions and bug reports via GitHub, Slack, and email
- Troubleshoot issues by analyzing logs, environment setup, and configurations
- Reproduce and escalate bugs to the engineering team when needed
- Write and improve support documentation and troubleshooting guides
- Work with the product and engineering teams to surface common user pain points
- Learn the ins and outs of QuestDB to support both community and enterprise users
Requirements
- Some experience with Linux/Unix systems and the command line
- Basic familiarity with SQL and general database concepts
- Excellent written communication skills in English
- Empathy, patience, and a problem-solving mindset
- Comfortable reading logs and identifying errors
- Curious, self-motivated, and eager to learn
Nice to have
- Prior experience supporting technical software or developer tools
- Prior coding experience
- Familiarity with time series databases or real-time systems
- Experience using Docker, cloud environments, or CI/CD pipelines
- Exposure to monitoring tools like Grafana or Prometheus
- Contributions to open-source projects or communities
What we offer
- Generous equity options package
- Flexible working hours
- 100% remote
- Freedom of choice for your technical equipment
- Wonderful, highly qualified colleagues
- Truly international: more than 10 different nationalities
- A transparent, collaborative & inclusive culture
- Exciting opportunities for career progression as we grow
Working at QuestDB
We hire talented and passionate people who share our mission to empower developers to solve their problems with data. We are building breakthrough technology to power the infrastructure of tomorrow.
- We are a company with thousands of users; our mission is to empower them
- We invest in a culture that promotes ownership, autonomy and independent thinking
- We have transparent leadership and value employees' strategic input
- Our team is ambitious and tackles the most difficult problems at the deepest data infrastructure layer
Similar Jobs
Cloud • Fintech • Software • Business Intelligence • Consulting • Financial Services
Lead client engagements to assess business challenges, define enterprise data and AI strategies, develop roadmaps, guide solution design and delivery, provide technical leadership and mentoring, and support practice growth via presales and thought leadership.
Top Skills:
AnalyticsAzureBusiness IntelligenceCloud Data PlatformsCopilotsData AgentsData WarehousingDatabricksGenerative AiMicrosoft FabricSnowflake
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads remotely, consult customers on Property & Casualty insurance needs, recommend coverage, close policies, complete paid licensing and training, and work assigned shift schedule.
Artificial Intelligence • Big Data • Logistics • Machine Learning • Software • Transportation
Sell FourKites SaaS supply chain and logistics solutions to new and existing Fortune 1000 accounts. Manage 15-25 accounts, exceed quota, develop strategic account plans, map solutions to customer SOPs, coordinate cross-functional GTM efforts, update Salesforce, and leverage internal AI tools to drive growth and expanded ARR.
Top Skills:
Fourkites Ai ToolsLinkedin Sales NavigatorSaaSSalesforceZoominfo
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
