Ask HN: Who is hiring? (January 2021)

We're looking for team members who are big thinkers in all areas, including Backend, Frontend, Data, Devops, Design, Marketing, BD, Technical Account Management, and Product Management.

Roles: Backend/Server (Python), Frontend Engineer (React), Devops (AWS), Product Designers (Figma), Product Managers, QA Engineers, Technical Account Managers, etc.

Get in touch: https://jobs.lever.co/sure

PS: We have previously hired folks who reached out via HN. It really works!

This role will oversee all data engineering, data science, and advanced optimization and learning systems within Kessel Run, the Air Force's premiere acquisitions and operations transformation organization.

This is a Two-Year term position with option to extend. It is the equivalent grade of GS-15 (NH-IV)[1] plus locality pay, recruitment and relocation bonuses, Thrift Savings Plan (like a 401k) matching and Federal worker health and benefits options. Must be a US Citizen and eligible for a security clearance.

[1]https://acqdemo.hci.mil/tools/2020AcqDemoCareerPathPayRangeT...

Want to build the next web, where users, apps and services have direct control of their information, identities and experiences? Join 3Box Labs in building Ceramic, the p2p dataweb for open information management.

We're a small, highly technical team at the center of the web3 ecosystem with more than 1000 apps and 35,000 users built on our technology so far. We're pushing the limits of IPFS, IPLD, CRDTs, decentralized identity standards, WebRTC and other p2p technologies. We are extremely intentional, impact-driven, community focused (everything we do is open source), and driven by nonstop learning and growth.

We're currently looking for a Protocol Engineer, Low Level Javascript Engineer, and Ecosystem Lead who want to help us usher in an internet where users and developers have more power and agency. Learn more about what we're building at https://www.ceramic.network/ and https://idx.xyz/.

See full roles and apply at https://jobs.lever.co/3box

We're a modern betting exchange, going technology first to enable proper price competition in a field of fat commissions. Join a small and agile team in our beautiful office in St. Katharine Docks. If our US location tickles your fancy, you get to help a sunny satellite office too. For the time being, thanks to Covid, we are in fully remote mode.

Smarkets develops a reliable, low-latency, highly concurrent betting exchange based on trading exchange designs. We're also building a fast, modern web interface to allow for a smoother experience. Servicing our users is top priority.

The Smarkets platform is written predominantly in Python, C++ (replacing still present Erlang[ß]) and Javascript for React & React-Native, relying heavily on asynchronous programming techniques. The tech stack sports Kafka, Postgres and Kubernetes. We use REST where we can, and gRPC where we can't. Life at Smarkets circles around people, version control, configuration management and automation. We can - and do - deploy to production several times a day.

Production environment is in AWS. In fact, Smarkets was the first gambling operator under the Maltese regulator to get permission to run everything in the cloud. We push the envelope where needed and educate auditors when necessary.

We are looking for engineering talent all across the board: frontend and mobile, infrastructure, data science, trading engine, security - and of course generalists, those yet to find their calling.

If you like the idea of flat structure and practical engineering approach, see our jobs at https://smarkets.com/careers .

We are hiring applied researchers to change the way eBay does advertising. You will be someone who is comfortable working with the most challenging problems, designing and creating the most elegant systems alike. We need your help to reinvent the recommender systems experience on eBay's item pages. This is a unique opportunity to influence the most visited page on eBay (billions of views a day) and learn recommendation technology which ranks eBay's 1+ billion active items. We apply cutting edge machine learning techniques on petabytes of data and thousands of Spark/YARN nodes. This includes Deep learning, XGBoost and online learning. We are a small team in a growing remote office, building eBay Ads's future and seeking experienced (2+ years) applied researchers. The day to day work includes 50% coding and 50% data science. Our interview consists of two phone screens and one onsite (virtually) to meet the team and do a code test. contact: wsalle@ebay.com | Ask Wendy about opportunities with Adam and Zhen