Timescale Tech Stack

PostgreSQL-native time-series database for high-volume analytics and monitoring

Software Development New York, New York 51–200 employees Founded 2015 Privately Held

Timescale builds TimescaleDB, a PostgreSQL-based time-series engine optimized for fast ingest and complex analytical queries. The stack reveals deep database infrastructure focus: C/C++, Kubernetes, and specialized profiling tools (Valgrind, Coverity, pprof) dominate engineering work. Projects center on database correctness, feature implementation (hypertables, compression, continuous aggregates), and test automation—all hallmarks of a company solving hard systems problems at scale. Pain points cluster around performance tuning and schema design, suggesting customers hit wall with query complexity and data volume.

Tech Stack 25 technologies

Core StackPostgreSQL TimescaleDB GitHub Actions Python Kubernetes AWS C++ Salesforce HubSpot Marketo Go Linux gRPC GraphQL C/C++ Azure C SQL Valgrind Coverity pprof LinkedIn Outreach PL/pgSQL

What Timescale Is Building

◆Challenges

Troubleshooting performance bottlenecks
Troubleshooting cloud infrastructure issues
Reducing adoption friction
Schema design
Performance tuning
Optimising complex analytical queries
Release process automation
Scaling cs operations
Optimising database performance
Customer migrations

▲Active Projects

Infrastructure for database correctness and performance testing
New database capabilities
Test new database features related to timescaledb or agentic postgresql
Implement timescaledb features like hypertables, compression strategies, and continuous aggregates
Implement timescaledb hypertables
Third-party api integrations
Connectors platform optimization
Performance tuning
Customer migrations
Ci/cd pipeline automation

Hiring Activity

Steady25 roles · 9 in 30d

Department

Engineering

Support

Sales

Marketing

Seniority

Senior

Mid

Junior

Manager

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About Timescale

Timescale operates a managed cloud platform and open-source time-series database built on PostgreSQL, deployed across industrial IoT, observability, financial risk, and geospatial use cases. The product targets engineering and data teams at enterprises handling high-frequency, time-stamped data streams—a segment spanning manufacturing, finance, telecom, oil & gas, and logistics. The company employs ~51–200 people, headquartered in New York, with engineering concentrated in the US and expanded hiring in Brazil, Germany, and India. Revenue model combines open-source adoption with managed cloud and enterprise support, with active sales presence backed by CRM tools (Salesforce, HubSpot, Marketo, Outreach).

HeadquartersNew York, New York

Company Size51–200 employees

Founded2015

Hiring MarketsUnited States, Brazil, Germany, India

Frequently Asked Questions

What tech stack does Timescale use?

Core: PostgreSQL, TimescaleDB, C/C++, Python. Infrastructure: Kubernetes, AWS, Azure, Linux. DevOps: GitHub Actions, gRPC, GraphQL. Testing: Valgrind, Coverity, pprof. Sales/ops: Salesforce, HubSpot, Marketo, Outreach.

Where does Timescale hire engineers?

United States, Brazil, Germany, and India. Engineering roles (12 open) focus on database features, infrastructure, and testing. Senior positions dominate the hiring mix (15 total senior roles across all departments).

What is Timescale working on?

TimescaleDB feature development (hypertables, compression, continuous aggregates), database correctness and performance testing infrastructure, customer migrations, connectors platform optimization, and CI/CD automation. Current friction points include performance tuning, schema design guidance, and adoption barriers.