[Haskell-cafe] [Hiring] NStack is hiring Haskellers in London (onsite / remote)

Mandeep Gill mandeep at nstack.com
Mon Jul 17 17:51:55 UTC 2017


NStack (www.nstack.com / www.github.com/nstack/nstack) lets data scientists
and analysts to do sophisticated data work in the cloud without a team of
engineers.

To accomplish this, we’re a building a platform for composable, data-driven
microservices, using a mixture of Haskell and Linux systems tech (including
Kubernetes, systemd, and local IPC) with some typed DSLs, systems code, and
distributed systems thrown in - think Bash-piping for distributed,
containerised microservices.

Our aim is to bring many of the ideas from functional programming, such as
typed APIs and composition to the analytics space. We have an early demo of
the product available, see www.github.com/nstack/nstack to get started and
https://demo.nstack.com (very early demo, built using GHCJS - see [1]), and
are currently in trials with several enterprises.

We’re looking for talented programmers experienced using typed functional
languages with preferably some Linux/Unix systems knowledge.
It’s a challenging role, working on hard problems, and offers the chance to
work with a top technical team and shape a company and product from an
early stage.

NStack is funded by top-tier investors from the West Coast, the founders
are both technical and ex-YC / academia, and our team is lucky enough to
include world-class talent for the problem we're solving. Salaries are
competitive and include generous stock options.

We're generally hiring onsite, however several of us work across Europe and
we welcome remote applications within suitable timezones. Unfortunately we
can not sponsor work visas. We're a team of 10, including 5 full-time
Haskellers, and are looking at a range of positions and experience levels -
whether you’ve just left uni or been hacking for 20 years, so if you’re
interested please get in touch.

Any questions please email direct or take a look at
https://angellist.com/nstack/jobs

Cheers,
Mandeep

[1] log in using `user-id` = `be56de22d8444786ae3231953b2cf4b1` and
`secret-key` = `8d245132f0a9402d9284cf2e0a280391`
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