The Zebra | Site Reliability Engineer (SRE) | Full-Time | ONSITE Austin, TX
The primary role of this person is to support the development organization by ensuring and maintaining infrastructure uptime. The SRE responds to all system alerts and alarms, providing triaging, resolution and communication to all stakeholders.
https://jobs.lever.co/thezebra/e876b083-64f4-4b1f-acf8-dc1c0...
Mixpanel | Full-stack / Front-End Software Engineers | SF / ATX / SEA | Full Time | Onsite | www.mixpanel.com
In a world oversaturated with data, many organizations struggle to identify the useful patterns and trends they need to make better decisions and achieve their business goals. At Mixpanel our mission is to increase the rate of innovation and we’re doing that by building the most advanced analytics platform. Our award winning platform is helping over 26,000 customers including 30% of the fortune 100.
We’re helping companies gather customer data, understand behavioral patterns, why they’re happening and then set goals for influencing behavior and testing ways to hit them.
Headquartered in San Francisco, we also have offices in New York, Austin, Seattle, London, France, Barcelona, Singapore, and Amsterdam! Backed by the biggest names in the investing world such as Andreessen Horowitz, Sequoia, YCombinator, and a handful of notable individual investors.
Our stack includes Python, Golang, and lots of JavaScript.
Our Open Roles: https://mixpanel.com/jobs/
Contact Directly: Email is hidden
Crisp | Front-end, Data Science, Backend | https://gocrisp.com | REMOTE | Full-time
Crisp is a fully distributed, data-analytics startup working to reduce food waste by improving forecasting across the supply chain.
We're more interested in the quality of the candidate than any particular tech, but I'm listing what we use so you can decide if it's interesting to you.
- Front-end is built on react, typescript, and apollo. - Data science uses python, and jupyter. Must be able to code. - Backend is kotlin, graphql, k8s.
Limited to mid/senior level candidates because we're entirely distributed. We just don't feel like we can adequately support remote, junior candidates at this stage of the company.
Dstillery | https://dstillery.com | New York | Full-time | Onsite
Dstillery is the leading custom audience solutions company, empowering brands and their agencies to maximize the value of customer data and transform the way they connect with their audiences.
We use machine learning to build targeted audiences for advertising.
Our premier product, Custom AI Audiences, is built by just-for-your-brand Custom AI models that deliver the ideal combination of accuracy and scale. Because Dstillery rescores candidates in and out of audiences every 24 hours, our audiences are always up-to-date and on-target. That’s why brands across Retail, CPG, Finance, Luxury, B2B, Telco, Travel, and Tech rely on Dstillery’s audience solutions for branding and direct response initiatives to thrive.
We're looking for: -- Senior Linux Systems Administrator -- Site Reliability Engineer
Read more and apply here: https://dstillery.com/careers/
Paperspace (YCW15)| Brooklyn, NY | Full-Time | ONSITE Paperspace is a high-performance cloud computing and ML development platform for building, training, and deploying machine learning models. Tens of thousands of individuals, startups and enterprises use Paperspace to iterate faster and collaborate on intelligent, real-time prediction engines. We're hiring for a few roles, and we'd love to connect if you're interested!
• Cloud Infrastructure Engineer
• Senior Frontend Engineer
• Fullstack Engineer (Javascript and Go positions)
• Growth Marketing Manager
Want to learn more? View all job descriptions at https://jobs.lever.co/paperspace
FlightAware | Senior Data Scientist / Senior Machine Learning Engineer | Houston, TX | Full-time, ONSITE, https://flightaware.com, https://flightaware.com/commercial/foresight/
FlightAware is expanding its world-class team that builds the predictive technology behind the FlightAware Foresight product suite. FlightAware Foresight is already used by some of the largest airports and airlines in the world to improve operational efficiencies on the ground and in the air. As a senior data scientist at FlightAware, you will work alongside talented developers, systems engineers, and analysts to design, evaluate and improve state-of-the-art machine learning models underlying both current and future Foresight products.
You would bring scientific rigor and statistical methods into a multi-disciplinary engineering group pushing the industry forward and tackling some of the hardest problems in this space. We train thousands of models on hundreds of thousands of CPU cores using datasets with hundreds of millions of examples, and we stream real-time flight data from around the world through these models running on multiple clusters in order to produce thousands of inferences per second. These models compute estimated runway landing and gate arrival times for commercial and GA flights around the world. FlightAware in general processes over 180 million incoming messages per hour from over 22,000 individual data feeds. You would bring a broad technical and engineering background with you, allowing you to design solutions that can scale and operate in this demanding environment.
We're looking for someone with a solid real-world track record of delivering complex machine learning systems in production that solve well-defined business problems. This is decidedly a senior-level role, although less experienced but truly exceptional candidates will be considered. We have no formal requirements about educational background; while a PhD is probably a plus, it's not required, and we're more impressed by real-world results. You need a nontrivial expertise in statistics, machine learning, statistical learning, and deep learning that goes beyond what a talented engineer might learn studying in the evenings for fun. You also need a solid engineering foundation; you wouldn't be isolated from infrastructure and systems engineers but would be working with and alongside them.
FA is a small company (currently ~100 employees), but we're not a startup. We've been around for over a decade and don't rely on VC funding. Our Foresight team alone produces millions of dollars of revenue. The company is successful, profitable, and growing. And we just built out a brand new modern office space in Houston. To apply, please send me an email using the email in my profile here.
Doctorly | Interim Lead Engineer | Berlin, DE | https://www.linkedin.com/posts/czioutas_interim-lead-enginee...
We at doctorly are hiring 3x tech positions here in Berlin!
-Interim Lead Engineer (Infrastructure & Services) - Excellent position for growth!
-Mid/senior Engineer (Infrastructure & Services)
-Mid/senior Engineer (Client Team)
On the `Infrastructure & Services` Team you will be working to enable our team with their infrastructure, architecture and DevOps using #docker #saltstack #azuredevops and ofcourse #dotnetcore
On the `Client` Team you will be working with Mike Fayer tackling our front-facing side using #blazor whilst maintaining a hands-on attitude to the rest of our system.
Datapane | Full Stack Web Engineer | London, UK | REMOTE | https://angel.co/company/datapane/jobs
Remote startup building cloud-native data analytics that live in the browser - Datapane is looking for an exceptional and experienced Django engineer to join our team.
This includes working on: - The main Django application, a large, modern, Django app built using Python 3.7 and the latest Python and Django libraries; - The API, built using Django Rest Framework (DRF) that is used both by our web-app and client libraries to build and run data analyses; - Frontend code, from Django-rendered HTML5 and CSS3, to JavaScript/TypeScript which interfaces with small, focused React components where necessary
Experience working on Django codebases that serve both server-side rendered pages and APIs via DRF would be ideal.
Datapane is an ambitious project that's the result of several disciplines, involving orchestrating workloads of multi-million row datasets, operating a HA PaaS that can also be deployed on-prem, and working with tools from the big data ecosystem, such as Apache Arrow and Pandas.
You should like the idea of releasing to real customers regularly, and prioritise getting a great product into users’ hands for feedback and iteration. You will have extensive scope to build and architect the backend, and grow the team in the future.
We're fully remote, some timezone overlap with UTC is preferable, and subscribe to the GitLab global salary calculator - about.gitlab.com/handbook/people-operations/global-compensation/calculator .
DM or see https://angel.co/company/datapane/jobs/656505-full-stack-dja... for more info. Cheers!
First Dollar | CTO/VP Engineering | Senior Backend Dev | Full-Time | ONSITE Austin, TX
www.firstdollar.com
First Dollar is a marketplace that helps consumers save, shop & pay for healthcare. We're a repeat founding team with prior exits to athenahealth & Expedia.
We're seeking a CTO/VPE and a Senior Backend Engineer. These are ground floor roles with significant responsibility & upside opportunity. Decent salary & equity.
Please apply here: https://angel.co/company/firstdollar/jobs
Oasis Labs | DevOps Engineer | Full-Time | ONSITE San Francisco, CA |Junior to Senior Levels
At Oasis Labs we are building the next generation privacy focused cloud platform. We envision a future in which the integrity and security of Data is guaranteed and end users have actual control over how their data is utilized. Our platform product is the first step towards this future.
As a Software Engineer with a DevOps focus, you will encounter a unique set of challenges in maintaining a reliable distributed architecture that includes nodes that are not controlled by Oasis Labs. We are building new kinds of tooling to support a future that can realize a privacy-first, distributed, and decentralized era of computing.
We are looking for both Junior level candidates whom we can mentor and Senior level candidates. We'd like to grow the team here in SF, though are comfortable with Remote candidates located in the Pacific Time Zone.
Please apply here: https://grnh.se/47c5eedf2