Timescale

Senior Software Engineer - Database Internals

Remote

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
AI & Machine Learning, Data & Analytics, Enterprise SoftwareIndustries

Requirements

Candidates should have 5+ years of engineering experience and expertise in building industrial-strength software in C/C++ for large code bases. A solid knowledge of SQL, query processing, database engines, concurrency control, data replication, and/or distributed systems is required. Experience in PostgreSQL internal development is highly desirable, and familiarity with industry-standard software validation tools such as Jepsen, Valgrind, Coverity, and pprof is helpful.

Responsibilities

The Senior Software Engineer will design and develop new database capabilities, including analytics, clustering, distributed operations, and query and storage optimizations. They will develop, test, and release new features from the database technical roadmap and continually improve existing functionality of TimescaleDB. The engineer will also improve infrastructure for testing database correctness and performance, work closely with the Cloud Engineering team to enhance customer experience, and provide technical assistance to high-value customers while engaging in code reviews and collaboration with other engineers.

Skills

C/C++
PostgreSQL
SQL
Query Processing
Database Engines
Concurrency Control
Data Replication
Distributed Systems
Jepsen
Valgrind
Coverity
pprof

Timescale

Time series data management and analytics

About Timescale

Timescale specializes in managing time series data through its main product, TimescaleDB, which is an open-source database designed to efficiently handle large volumes of data points collected over time. Built on PostgreSQL, TimescaleDB offers reliable performance and operational efficiency. The company serves various industries, including IoT and financial services, enabling clients to analyze and gain insights from time series data for improved decision-making and automation. Timescale differentiates itself by providing both on-premise and cloud-based solutions, along with a freemium model that allows users to access the core product for free while offering premium features and enterprise support for revenue. The goal of Timescale is to enhance how businesses manage and analyze time series data, making it easier and more effective for organizations to leverage their data.

Key Metrics

New York City, New YorkHeadquarters
2015Year Founded
$179.8MTotal Funding
SERIES_CCompany Stage
Data & Analytics, Enterprise SoftwareIndustries
51-200Employees

Risks

Increased competition from Neon offering serverless Postgres databases.
Rebranding as a cloud company may confuse existing customers, risking churn.
Growing popularity of serverless platforms challenges Timescale's traditional offerings.

Differentiation

TimescaleDB is built on PostgreSQL, ensuring reliability and operational efficiency.
Offers both on-premise and cloud-based solutions, catering to diverse business needs.
Freemium model with open-source core attracts a large user base.

Upsides

Increased adoption of edge computing aligns with Timescale's time-series database offerings.
Rise of serverless computing creates opportunities for scalable, on-demand resources.
Growing trend of digital twins boosts demand for robust time-series data management.

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