Founding Full Stack Engineer at Instamenu | Y Combinator
Founding Full Stack Engineer at Instamenu | Y Combinator

We are looking for a founding engineer that is ready to join a team of people that are dedicated to improving the restaurant dining experience. There will be lots of opportunities to use and learn different skills as we build the foundation of our product. We focus on week-over-week experiments for new flows and designs to increase revenue and engagement and to continue to grow our restaurant and user base. **Who You Are** * Please have at least 4-10 years of full stack development experience. * Familiarity with our stack - React Native, Rails, and Postgres is preferred. Must be comfortable working independently with changing requirements. * You should be comfortable building high quality features quickly. Would love to see projects that you have worked on. * We value ownership - you should be proactive and do whatever you think is necessary for the team to achieve our goal. If you want to avoid things that are “not my job”, this role is not a good fit. * Having restaurant experience or interest in the industry is a huge plus! Austin is preferred, but San Francisco or remote work as well. Not you? Who is the best full stack engineer you know? We would love to connect with them! **Who We Are** We have 3 technical founders with impressive backgrounds including Nick Evans who co-founded Tile, Shayan Guha who has over 15 years of software experience and worked at a number of YC-backed companies, and Thomas Garrison who has had wild success trading the crypto and public markets. Along with the founders, Lindsay George is working as Instamenu’s full time UX/UI Designer. Lindsay has experience building apps for multiple restaurants and is leading the team on user research and design efforts. Two of us are in Austin, one in San Francisco, and one in New York.

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Data Scientist at Qventus | Y Combinator
Data Scientist at Qventus | Y Combinator

The Company Have you ever found yourself or a loved one waiting hours and hours in a hospital Emergency Room to get care? Or have you ever had a surgery scheduled for months in the future that needed to happen sooner? Unfortunately, our healthcare system is full of these types of operational problems. Our work saves lives and helps hospitals cut tens of millions of dollars in operational costs, while improving the quality of care they’re able to deliver. Qventus is a real-time decision making platform for hospital operations. Our mission is to simplify how healthcare operates, so that hospitals and caregivers can focus on delivering the best possible care to patients. We use artificial intelligence and machine learning to create products that help nurses, doctors, and hospital staff anticipate issues and make operational decisions proactively. Qventus works with leading public, academic and community hospitals across the United States. The company was recognized by the 2019 Black Book Awards in healthcare for patient flow and by CB Insights as a 2019 top 100 Most Promising Company in Artificial Intelligence. Recently, Qventus won the Robert Wood Johnson Foundation Emergency Response for the Healthcare System Innovation Challenge through its work helping health systems across the country plan for and operate in the COVID pandemic. The Role Qventus is looking for Data Scientists to help build the next generation of Qventus’s AI. You’ll join a cross-functional team of clinicians, data scientists, data platformers, and product experts to help care teams across the country make day to day decisions to get patients the right care faster and with less overhead. As a data scientist at Qventus, you will have the opportunity to explore Qventus’s unique and rich Healthcare dataset to develop and deploy cutting edge ML based solutions. You will evaluate potential modeling approaches, build features together with data platform partners, implement algorithms, and drive meaningful improvements to our underlying ML infrastructure to scale Qventus into the next generation. You should be strongly motivated to have an impact in the company and dedicated to helping improve the quality of healthcare operations. Location This role is remote first, but we have offices in Mountain View, CA and open to local hires as well. Key Responsibilities - Drive the development of our machine learning platform to efficiently train, evaluate, and deploy high quality models. - Develop, deploy, and tune performant and highly scalable machine learning models in the healthcare space strategically employing a wide array of modeling and statistical techniques. - Collaborate with Product partners to experiment, design and measure quality of model based interventions including development of analytics dashboards. - Develop tools and resources to improve transparency into Data Science technical architecture and increase collaboration with engineering and analytics partners. Key Qualifications - Proven ability to develop and tailor algorithmic solutions to business problems in collaboration with product or delivery partners. - 3+ years industry experience developing, launching, and iterating on machine learning models and/or developing the core data science platform. - High competency in Python, with experience developing scalable systems and using statistical packages such as Pandas, Scikit-learn, and XGBoost. - Strong software development foundations - dedication to high code quality, stable architecture and an eye towards maintainability. - Excellent SQL - hands on experience manipulating data sets, data cleaning, and pipelines Interest and ability in learning and working in a fast paced dynamic environment across multiple technologies. Nice to have's: - Strong cross-functional communication - ability to break down complex technical components for technical and non-technical partners alike - Demonstrated understanding of a wide variety of statistical and machine learning methods (resampling, regression, classification, ensemble methods, transfer learning, etc). Practical hands on experience with: - Natural Language Processing or Understanding techniques and productionalization - Deep Learning modeling techniques and infrastructure - Ecosystem of data platform technologies such as: AWS Services (RDS, ECS/EKS, Lambda, S3), DBT, Snowflake, Databricks - Data analytics tools (Looker preferred) - Experience in healthcare working with real world data, particularly in the inpatient setting. - Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent training / experience Qventus is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Candidate information will be treated in accordance with our candidate privacy notice which can be found here: https://qventus.com/ccpa-privacy-notice/

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Porter (YC S20) Is Hiring a FullStack Engineer
Porter (YC S20) Is Hiring a FullStack Engineer

### The Role: We're looking for a full stack engineer who is fluent in React/Typescript but comfortable working across the entire stack. This includes building on top of our Go backend as well as working directly with the Kubernetes and Helm APIs. Since Porter is a PaaS that abstracts the complexity of Kubernetes, deeply considered design/architectural decisions are the lifeblood of our platform. The best implementation is not always the most obvious one, so an appetite for rigorously evaluating the tradeoffs of different options is essential. You will be expected to push critical code on a daily basis while also working on larger features that constantly expand the capabilities of the platform. As our first full-time engineer joining a team of three technical founders, you will be involved in all feature discussions and will shape the trajectory of our product. ### You will: - Build and maintain new features on the Porter dashboard - Develop our Go API to accommodate additional k8s/Helm behaviors - Create applets and add-ons for popular technologies like MySQL, Redis, Kafka, RabbitMQ, etc. - Improve the UI and organization of the dashboard (strong UI/UX background is a nice to have) - Raise the standard for code quality and our engineering culture ### Who we're looking for: We value rate of learning above all else. Full stack experience and fluency with React/TypeScript is expected, but less familiarity with Go/Kubernetes is fine if you're a voracious and self-directed learner. Infrastructure management isn't rocket science, but it does involve thinking and working across multiple levels of abstraction at once. If the idea of wrangling that complexity is exciting and not daunting to you, we'd love to talk. As is the case with most early-stage startups, you should be comfortable with regularly shifting priorities and iterating at a very high (daily) velocity. ### Some of the technical challenges we face: - Abstracting Kubernetes - any PaaS spans a variety of use cases, so building a consistent and useful layer of abstraction requires constant awareness of the needs of many user profiles. - Auto-Generated Frontend - each of our app/add-on templates uses a `form.yaml` file that programmatically generates a settings UI on the dashboard using a library of our own input primitives. Expanding and testing the functionality of these templates is non-trivial. - Cloud Agnosticism - one of Porter's main benefits is that you get the same interface for managing services regardless of where you host. Our job is to reduce multi-cloud infrastructure complexity to a unified interface. - Many Integrations - our philosophy is to never reinvent the wheel, so we leverage tools like GitHub Actions, existing container registries, and the APIs of various cloud providers. An issue with any one of these integrations interrupts functionality, so properly handling interactions with numerous services is crucial. ### Sample projects you might work on: - Build a dashboard that gives an infra-level overview of machines being managed by Porter and their current resource utilization - Implement live email/Slack alerts for successful or failed deployments - Develop a deployment pipeline builder that lets users seamlessly promote services across multiple clusters and environments (ex: dev -> staging -> prod) - Create one-click deployable applets for popular technologies (e.g. RabbitMQ, Kafka, Cassandra, etc.) ### Tech stack: - Web: React (styled-components), TypeScript - Backend: Go, Kubernetes + Helm APIs, Postgres, Redis - Infrastructure: AWS, GCP Porter is open source. You can view our entire codebase here. *Our team is currently based in NYC, but we are open to remote hiring for those who can guarantee overlap with our core working hours (Monday through Friday, 9am-5pm ET). If you're in New York City, we're happy to discuss specific working arrangements.* Interested? Email your resume to jobs@getporter.dev and let us know why you would be a great fit for this role.

Published 34 days ago


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