TDengine has demonstrated the viability of its flagship product with 250+ paying customers, with a number of large enterprises among them. It also enjoys the support of an enthusiastic developer and user community. Based on such strong validation we plan to invest heavily to capture the market opportunities and are confident in the fact that our quantum leap in performance and storage efficiency will win over customers effectively. At the same time, we would not want to trivialize the efforts needed and challenges to be faced in such an endeavor.

Role Overview:

We are seeking a highly skilled and motivated Solution Architect to join our growing team. As a Solution Architect, you will work closely with customers, partners, and internal teams to design and implement innovative solutions using TDengine. Your primary goal will be to help customers maximize the value of our platform while addressing their specific use cases and technical challenges.

Responsibilities:

Solution Design and Architecture

• Collaborate with customers to understand their business needs, technical requirements, and existing infrastructure.
• Design end-to-end solutions leveraging TDengine’s platform, including data ingestion, storage, and analysis workflows.
• Develop integration strategies with other enterprise systems, including cloud services, IoT platforms, and industrial protocols (e.g., MQTT, OPC UA).

Customer Engagement

• Serve as a trusted advisor to customers, guiding them on best practices for deploying and optimizing TDengine.
• Conduct technical workshops, proof-of-concept (POC) implementations, and demonstrations tailored to customer needs.
• Partner with sales and customer success teams to drive adoption and ensure long-term customer satisfaction.

Technical Leadership

• Act as a subject matter expert (SME) for TDengine’s platform and ecosystem.
• Lead troubleshooting and performance optimization efforts in customer deployments.
• Contribute to the development of reusable architectures, templates, and documentation.

Qualifications:

• Strong expertise in time-series databases, data pipelines, and analytics platforms.
• Hands-on experience with database systems, including schema design and query optimization.
• Be familiar with various infrastructure stacks and technologies (bare metal, cloud, VM, containers, orchestration), network, security, etc.
• Demonstrated expertise in executing hands-on work with various clouds, third-party tools, data migration, data modeling, and performance tuning techniques.
• Ability to work within the customer environment to understand their current stacks and be able to design solutions to meet the needs on customer infrastructure.
• Experience in shell programming and scripting (i.e., Bash). Software development using one or more of the following: Go, C, C++, Python, Rust, Java is a plus.
• Excellent verbal and written communication skills.
• At least 5 years relevant working experience.

Benefits to work with TDengine

• Competitive salary and early-stage stock options
• Comprehensive healthcare benefits
• Hybrid working environment
• 401K

Company Description

TDengine is the cloud native, high performance, simplified solution for time-series data. It has been well received by the developer community since it was made available under open source license three years ago, garnering more than 23,400 GitHub stars so far and hundreds of clones on a daily basis. It has also found solid market traction generating rapidly growing revenue for the company. TDengine was founded and is led by veterans in the technology industry with accomplished and proven track records.

With its success so far in the technology community as well as in the marketplace, the company has enjoyed somewhat unprecedented support from 1st tier venture capital firms including GGV, Sequoia and Matrix Partners, with rapidly rising valuation in recent years. Institutional funding to date as of series B has exceeded $70 million. Such support is also strong validation of our vision for a future, where big data will mostly be generated from machines, sensors as well as automation devices instead of user behavior or actions, which is as of this moment the mainstream perception. We have more than ample reason and evidence to believe that we are on a path to success that rivals or exceeds the mega successes in recent years in the open source big data sector.