Ask HN: Who is hiring? (June 2026)

ClickHouse | Distributed Data Infrastructure Engineer | Remote Hiring in the US right now. Seniors/Staff/Principal levels

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:

Distributed Systems / Cloud Engineers to build

    - AutoScaling Systems for a Cloud Database

    - A Distributed Caching Layer on top of S3 [0]

If you have experience in productionizing and maintaining distributed systems cloud-based multi-tenant caches - you would fit right in.

We also maintain our own ClickHouse based Data Infrastructure. Bonus points if you've worked on auto-scaling or other data-driven forecasting challenges in the past.

    Can work in a fast moving scale-up environment. Proactive and hands on.

    You must be independent and self-organized.

    Database SRE / Cache Operations experience

    Go, Kubernetes, Distributed Systems in general

    You will need to be able to do On-Call - debugging production infra, db or cache issues

    Low-level database programming (C++, ClickHouse) - This is crucial for the cache.

If you want to work on operating production critical databases/caches in the cloud on or write data-driven algorithms for autoscaling, consider applying! Send me an email: manish.gill [at] clickhouse [dot] com

[0] https://clickhouse.com/blog/building-a-distributed-cache-for...

Rerun | Remote | Stockholm, Sweden | Full-time

https://rerun.io/

Rerun is the data layer for Physical AI; robotics, autonomous systems, AR/VR, and other embodied ML. We give engineers a single unified layer for multi-rate, multimodal data: the open-source Rerun SDK (Rust, built with egui) for logging, querying, visualizing, and training, plus Rerun Hub for large-scale storage and streaming from object storage. Most of our core, performance-critical code is Rust.

This month we’re hiring for:

- Rust Backend Engineers - Software Engineer, Infrastructure - Dataframe SDK Engineers - Robotics ML Engineers

Check all roles and apply here: https://rerun.io/careers

the UX of that site is quite bad actually. arrow keys and PgUp/PgDn won't scroll the text, and the panel wants to resize horizontally when a person tries to engage the vertical scrollbar

neocom | Senior Frontend Engineer | Onsite | Munich, Germany | Full-time

We at neocom are building shop agents for online retailers. Customers can chat naturally, get clear guidance, and find the right product faster, just like talking to a great, opinionated salesperson in a physical store or like chatting with an LLM, that actually knows about the products in the shop and has an opinion about them. We are based in Munich with a strong onsite culture (not full time).

We've been in the guided selling space for the past 6 years and launched our new product, the Shop Agent, last year in November. Our customers who are already on this new product are loving it and demand more and more features.

We are now looking for founding frontend engineers who can help our engineering team (4 people + 2 starting in September). We consider our selfs as craftsman, who care a lot about quality. A lot. We have a classic TypeScript + React.js stack with a lot of cypress.

You can find more here: https://chief-inch-5e2.notion.site/Senior-Frontend-Engineer-...

Ping me (CTO) at ssl @ neocom.ai

Uber | https://www.uber.com/ai-solutions | Senior Product Engineer | Full Time | Amsterdam, The Netherlands | Hybrid

We’re building a complex data labeling platform for AV and robotics teams working with multi-sensor data: images, point clouds, sequential data, and 3D scenes.

We’re hiring a Senior Product Engineer to help us ship the core web product faster and improve the quality of customer-facing labeling workflows.

Tech stack: Vue/React, TypeScript, Three.js/WebGL/WebGPU, TinyBase, Django.

You can help us solve problems like: - Making 2D and 3D annotation workflows faster, more precise, and easier to use - Designing point cloud tiling, autosave, undo/redo, review, filtering, and issue-tracking workflows that hold up under real labeling operations - Improving performance where milliseconds matter: rendering, local state updates, preloading, and geometric operations - Shaping API contracts, data models, permissions, background jobs, and operational tooling as the platform scales

This is a senior role with high ownership on a small team. To apply, please reach out to bert@segments.ai (we recently got acquired by Uber) with a resume and mention HN in your application.