At Friendly Captcha we do one thing and we do it well: we protect websites from malicious actors and bots.
We provide privacy-friendly and accessible anti-bot solutions that don’t annoy users with tasks like clicking fire hydrants. We make the internet a bit better every day by winning over customers currently using Google reCAPTCHA.
We’re a growing, profitable, fully bootstrapped company. Our revenue mostly comes from medium to large European enterprise and governments.
We’re looking for an engineer whose focus will be on using data to improve our bot detection and protection. Telling apart bots from genuine users is vital to our product.
If possible, we prefer to keep things simple (perhaps boring is the right word even?) - choosing an if/else rule over a neural network. Good knowledge of the web is always useful in this company. At our scale we are looking for generalists more than specialists.
Our engineering team is fully remote across Europe, we meet up in person a few times per year. You can work either 4 or 5 days per week, fully remote or (partially) from our Munich office. Please note that we ONLY consider candidates located within the EU/UK/EEA/Switzerland.
Stack: Golang | Typescript | Clickhouse | Postgres | Redis | Python data science stack
Form with more information: https://friendlycaptcha.jobs.personio.com/job/2207852
Vola Dynamics (https://voladynamics.com) is the world's most sophisticated software and quant research company for advanced options analytics. Our volatility fitter and ultra-fast option pricers are the market standard, powering decisions at the world’s leading hedge funds, proprietary trading firms, and global banks.
We’re hiring our first Data Engineer to play a pivotal role in designing and developing our next-generation data and analytics infrastructure from the ground up.
Stack: Python, Dagster, Clickhouse, Kubernetes, Polars, and Grafana.
Work style: Hybrid in NYC/CT. In-office on Tuesday and Thursday.
Apply here: https://jobs.ashbyhq.com/voladynamics or email us at "resumes [at] voladynamics [dot] com" and mention HN in the subject.
We are a new discretionary, tech industry focused hedge fund, founded by a portfolio manager with 15+ years of experience at a Tiger Cub. I lead the data/technology team here and previously spent ~6 years in a similar role at a well known Tiger Cub and briefly running a data startup.
We are hiring for: - Frontend senior/staff engineer for our internal research management web application - VP Eng, to lead data engineering + fullstack development (this is a player-coach role, with a lot of IC work expected; it is a small team)
Our tech stack: * Frontend: Typescript, Vue3 * Backend: Cloudflare, Supabase/Postgresql, Typescript *
On the data side: AWS, Cloudflare, Snowflake, Clickhouse, Dagster
Obviously, we are not the only ones trying to figure out how to use AI in investing but in a world where there are lots of people trying to build picks & shovels, this is an opportunity to be one of the goldminers at a greenfield, new firm. This role makes sense for people who are interested in finance/investing (although you do not necessarily have to have experience in the industry).
We're in full-time in office in NYC, so that's a requirement for FTE.
We work very hard, hours are long, and people are very dedicated to the mission. It is not for everyone, but for those interested in competing in financial markets, love startup atmosphere without near-term existential risk, and want to work with super smart colleagues (both technical and investors!), this could be a great fit.
I write about hedge fund data teams frequently here, if you are just interested in learning about the space: https://magis.substack.com/
Target salary 180-250K, depending on experience + Bonus/Carry (hedge fund equity equivalent)
Contact: I am at ai dot nx1 dot com (I'm Alex, ai are my initials... you are not being sent to an ai :] )
ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse.
What we are looking for:
Cloud / Kubernetes Operator engineers to build the AutoScaling infrastructure. We also maintain our own ClickHouse-based Data Infrastructure. Bonus points if you've worked on autoscaling or other data-driven forecasting challenges in the past.
Can work in an early stage startup environment. Proactive and hands on. Senior/Staff+ Engineer. You must be independent and self-organized. Good at Go, Kubernetes (Understanding how to manage stateful services in a multi-cloud environment) We have a Python service in our Recommendation pipeline, so some ML/Data Science knowledge would be good. SQL / ClickHouse SQL (goes without saying) You'll need to be able to do On-Call - debugging production infra or db issues If you can do low-level database programming (C++, ClickHouse) that's added bonus. If you want to work on operating production critical databases in the cloud on k8s + write data-driven algorithms for autoscaling, consider applying! Send me an email: manish.gill [at] clickhouse [dot] com [0] https://www.youtube.com/watch?v=AFoMsLMZKikTouchpoint is transforming the restaurant industry for brands, staff, and guests.
Unlike the bloated, integration-heavy systems from legacy providers, Touchpoint delivers a unified platform that adds value at every interaction. Built natively into our ecosystem are:
- In-store POS/KDS/CFD/Kiosk
- A cross-platform mobile ordering app and website
- Gift card and payment processing
- The most successful loyalty system in the industry
- Direct marketing tools
- Data analytics and business intelligence
Our stack:
- Backend: Mostly PHP on FreeBSD, with some ETL/backend systems containerized on Linux
- Frontend: TypeScript + Vue/Quasar, deployed cross-platform
- Data & Cloud: ClickHouse, AWS Lambda, DynamoDB, SNS/SQS, deployed via SST and CDK
We’re looking for pragmatic, detail-oriented developers excited to build and refine a modern, growing platform. Our small team structure means your work will have real, immediate impact. We're especially interested in people who can ramp up quickly and start shipping meaningful improvements without a long onboarding runway.
Interested in learning more about Touchpoint? Send your CV to jobs@touchpoint.io