Ask HN: Who is hiring? (March 2022)

Location: US/Canada Fully remote

About HashiCorp

At HashiCorp, we have used the Tao of HashiCorp as our guiding principles for product development and operate according to a strong set of company principles for how we interact with each other. We value top-notch collaboration and communication skills, both among internal teams and in how we interact with our users.

About the Team

At HashiCorp, we’re building a generation-defining infrastructure software company, powered by our core principles and a growing team of talented, committed professionals working together to help organizations seamlessly transition to and operate in the cloud. Founded in 2012 and headquartered in San Francisco, 85 percent of our employees work remotely, strategically distributed around the globe. From our inception we built the company with a remote-first approach because we believe talent has no boundaries.

Manager, Engineering - Boundary Enterprise - https://grnh.se/1b1618ec1us Manager, Engineering - Terraform Cloud - https://grnh.se/8265d04e1us Software Engineer - Backend - Consul Core - https://grnh.se/620838dc1us Engineer - Backend - Cloud Services: https://grnh.se/314af8671us Sr. Software Engineer Terraform Platform - https://grnh.se/3453f2511us

Peggy partners with galleries and artists to make living with and investing in art accessible to all. Finally you can buy incredible art at a price you can afford, and can later sell to fellow collectors if your tastes change or you seek to rebalance your art investments. Core to our values, Peggy does good by the artists themselves, who can finally earn artist royalties for all future secondary sales as well - something they miss out on today. This is all made possible using sophisticated and proprietary AI and ML which keeps buyers and sellers protected without the need for the antiquated and opaque Auction House model.

As a key member of the back end team, you will be responsible for providing an elegant and well-documented GraphQL API as an entry-point into Peggy’s content, data, and business logic, which is crafted in Ruby, Rails and Postgres. You will be supported by a DevOps infrastructure, which leverages AWS, Terraform, CI/CD, CloudWatch, Auth0, Sentry, and other developer-friendly tools and systems.

Peggy is a remote-first company. We are building the company this way so we can curate a team with the best talent from anywhere in the world, and to create flexibility for team members. Team members (incl. ex-Shopify, Uber, Ada) currently/recently working from: Toronto, Vancouver, CDMX, Brazil, Argentina, London, India, Sweden, Lisbon, Madrid, NYC.

More @ https://peggy.com/careers?ashby_jid=bcf449d8-38d0-49d7-aca6-...

*: Global timezone preference within [ GMT-8..GMT+2 ]

About Beacon AI:

Beacon AI is building the industry's best AI Copilot that will be adaptable to a broad spectrum of aircraft. We provide value through the optimization of flight and the implementation of decision-making tools that support pilots throughout every flight. Our goal - optimized aviation operations from planning to debrief, while driving aviation related safety incidents down to zero.

About the team:

Our team is a mix of autonomous car software engineering (Cruise) and aviation (Navy & Marine Corps). We have deployed bleeding edge safety critical machine-learning code in the real world, and have thousands of hours of flight time. Our infra team is responsible for working with edge devices, our cloud and data lake, data pipelines, and application infrastructure. We are looking for capable, multi-discipline engineers to join our growing team - bonus points if you have an interest in aviation or transportation safety!

About the role:

We have two openings on our cloud/infrastructure engineering team. Infra is at the heart of enabling our data platform to get the right information to the right place at the right time. The roles will involve IoT/edge device support similar to a self-driving car company's, as well as engineering data pipelines, application pipelines, and handling massive datasets. Desired but not required: ++ Experience with time-series and binary (audio, video) data ++ Experience with leading serverless technology from major cloud offerings (AWS, GCP, Azure) + Given aspects of the IoT infra role, it is preferred for this role if you are in the Bay Area or could be regularly.

For more details, please see: https://https://beaconai.co/careers

Hugging Face is the AI community building the future. We pride ourselves on our open-source, transparent, autonomous, and decentralized work culture.

Machine Learning Engineer, Developer Advocacy: https://apply.workable.com/huggingface/j/8D33513930/

Researcher: https://apply.workable.com/huggingface/j/890BCA547E/

Machine Learning Customer Success Lead: https://apply.workable.com/huggingface/j/3F51CB1D81/

Machine Learning Engineer: https://apply.workable.com/huggingface/j/13638891DA/

and many more here: https://apply.workable.com/huggingface/#jobs