Senior Platform Engineer, Timescale

Salary not provided

+ Stock options

AWS

Docker

Kubernetes

Python

Postgres

Senior and Expert level

Remote from Germany, Spain, US

Scalable SQL for time-series data

Job no longer available

Scalable SQL for time-series data

101-200 employees

B2BEnterpriseSaaSData IntegrationData Analysis

Job no longer available

Salary not provided

+ Stock options

AWS

Docker

Kubernetes

Python

Postgres

Senior and Expert level

Remote from Germany, Spain, US

101-200 employees

B2BEnterpriseSaaSData IntegrationData Analysis

Company mission

To empower everyone to analyze the past, monitor the present and predict the future.

Job

Company

Role

Who you are

Strong industry experience operating Postgres databases at scale
Established history of incident management in the context of database operations
Good software engineering and distributed systems fundamentals
Experience working with and debugging high-availability Postgres setups using Patroni or other industry standard HA tooling
Intimate knowledge of the Postgres ecosystem, including extensions (e.g., pg_stat_statements, postgres_fdw, plpython) and operational tools (e.g., pgbouncer, pgbackrest, pganalyze)
Deep experience with analyzing database performance, tuning Postgres parameters, and optimizing Postgres workloads
Nice to have: experience running Postgres workloads on Kubernetes
Nice to have: experience writing applications that heavily interact with Postgres and/or Kubernetes

What the job involves

We're looking for experienced engineers to help us build our Cloud-first database experience and ensure operational excellence for our fleet of Timescale instances
You will work with a close-knit team, handling performance and operational issues on our Platform as well as designing and developing features that elevate our Cloud database experience
Ensuring operational excellence, performance, and observability for our fleet of Postgres/Timescale instances
Diving deep into complex performance issues faced by our Cloud customers
Designing and implementing database related Cloud features, working across many layers of the stack to ensure a seamless cloud-first database experience
Instrumenting excellent database observability from the application to the kernel level

Our take

Timescale helps developers and businesses manage and analyze big data sets that power large-scale operations. It offers this through its own open-source time-series SQL database which, unlike many competitors, is built with PostgreSQL.

The product’s broad client applications include finance, logistics, and space. It serves hundreds of customers, with tens of thousands of other organizations using the TimescaleDB platform in the community (including companies like IBM, Microsoft, Pfizer, and Samsung, among others.)

Timescale has also landed substantial funding, becoming a Unicorn back in 2022. This all signifies the value that Timescale's platform provides. The company continues to grow, investing across product, engineering, and R&D, as well as broadening its efforts in serving the Timescale community.

Steph

Company Specialist at Welcome to the Jungle

Insights

Top investors

-2% employee growth in 12 months

Glassdoor (4.3)

Company

Funding (last 2 of 6 rounds)

Feb 2022

$110m

SERIES C

May 2021

$40m

SERIES B

Total funding: $184.8m

Company benefits

Flexible PTO & family leave
Professional development & educational benefits
Summer Fridays off in August
Fully remote work from anywhere
Stock options
Monthly WiFi stipend
FSA/Dependent FSA plans 🇺🇸
401(k) retirement plan 🇺🇸
Premium insurance options for you and your family 🇺🇸

Company HQ

Midtown East, New York, NY

Leadership

Ajay Kulkarni

(CEO & Co-Founder)

Previous CEO and Co-Founder of computer software company Sensobi, and worked in product at GroupMe/Skyprosoft.

Michael Freedman

(CTO & Co-Founder)

Previous Research Assistant at multiple universities, including Berkeley and Stanford University. Co-founded Illuminics Systems, which was later acquired by Neustar. Current Advisor to Blockstack and Professor of Computer Science at Princeton University.

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