Ask HN: Who is hiring? (February 2017)

We build tools that enable sustainable and liveable cities, from planning and development through to operational tracking and optimisation of existing infrastructure.

We’re looking for a senior generalist web developer who can move between back and front of the stack, ideally with experience in either (or even better, both) Django and Rails.

Current stack/Technologies: Ruby/Rails, Python/Django, JavaScript/Ember.js, PostgreSQL, AWS If you’re interested email me at chris at kinesis dot org for more info.

Over $20 trillion worth of goods are manufactured, transported, and sold each year - the things we use, wear and eat every day. The global supply chain is one the world's largest economic engines, but it struggles to keep up with its own complexity.

The manufacturers, distributors, and retailers that make up this complex network are limited by the information they posses. They struggle to track and respond to supply and demand as their product travels from production to consumer. Those who try rely on 40-year-old data standards, lots of manual Excel work, and hordes of human middleware.

At Alloy, we’re set to change all this. We provide the first comprehensive, low-latency view of demand and inventory across all distribution channels. Our platform connects manufacturers, suppliers, distributors, and retailers, allowing companies to track their products down to the store shelf and better respond to end-consumer demand.

We are post-revenue, well funded by leading VCs, and winning contracts from well known brands. Our small team has diverse backgrounds and experience in analytics, large-scale enterprise SaaS, and retail and financial technology. Culture really matters to us: we value diversity in all forms and strive to foster integrity, respect, and open communication.

We're committed to make enterprise software inspiring. We use Google Cloud Platform, Postgres, Redis, Python, Java and React, all wrapped in strong design.

== About You ==

You thrive in a small team where you can build technology from the ground up. You love to pick up new tech, get good at it fast and do something creative with it.

You don’t shy away from even the most challenging problems and are relentless in always looking for better solutions. You are self-motivated and enjoy working with others towards a common objective. Building software is the means to an end: you want to change the way an entire industry operates.

As an engineer at Alloy, you’ll do any or all of the following:

* Model parts of the supply chain and develop features that bring them together

* Automate the collection, parsing, and storage of huge volumes of data

* Design a flexible but blazing-fast analytics framework that powers instant insights

* Build beautiful, easy-to-use apps that our customers love to use

* Dive into server provisioning, deployment, automation, and monitoring

We would love to hear from you - send me a note at evan@alloy.ai

We are builders and owners. We believe we are solving some extremely big problems. Join a group of amazing humans who thrive on making customers—and each other—successful.

Why work at Okta? We believe that work is a never-ending process of learning and iteration. We work on extremely complex problems. We work on products that make millions of people's work lives better. We're funded by the industry's most respected investors.

Benefits: Happy hours, Ping pong, Lounges, Food, Global offices, HQ in San Francisco's bustling SOMA district, HQ South in San Jose — opening March 2017, Competitive salary, Stock options, Flexible time off, Weekly All-Hands, Hackathons and Volunteer events

These are some of the ideas we live by: Confront the hard problems and solve them. Don't bullshit people. Protect the customer. Think bigger. Make it work. Never stop.

Please visit: https://www.okta.com/company/careers/ for all open positions and email: vimarsh.karbhari@okta.com

Full-time, Onsite, Mountain View, CA GoLang/Java/C++

APPLY HERE: http://peloton-tech.com/careers/?gh_jid=505358

The Automated Vehicle Data Infrastructure Engineer, Cloud will develop key systems that interact with mobile fleets of vehicles. This includes systems to sync large quantities of data from and to each vehicle, the management of data in the cloud scaling to the petabyte range, and coordination apps providing key operational data to the vehicles.

Qualified candidates have a strong background in developing large-scale server systems interacting with many thousands of mobile clients in real time. Understanding of the issues of intermittent connectivity, security, bandwidth optimization, priority queues, and large-scale data movement are critical to this role. Additionally, a strong understanding of location-based computation will be a key asset for this engineer.

KEY QUALIFICATIONS:

5+ years industry experience building hosted (cloud or colo-based) back-end systems, with deep understanding of systems that scale and are highly resilient to node failure

Well versed in current data marshalling, compression, and communication methodologies.

Current in building secure web services in the cloud Experience with AWS (Amazon Web Services) deployment or similar highly desired.

Knowledge of fault-tolerant message routing platforms (RabbitMQ, ActiveMQ, ZeroMQ or similar)

Experience with wireless networking, especially ad-hoc networking protocols (MANETs and VANETs)

Knowledge of stream processing technologies (Kafka, Storm or similar)

Fluent in leading edge software languages and tools; passionate about test driven, agile development; committed to tight collaboration and continuous integration (CI)

Preferred languages: Go, C++, Java

BSCS or equivalent experience

Helm.ai is an early-stage startup team of highly mathematically oriented AI researchers and engineers, founded by a former MIT Math postdoc and a Stanford CS PhD. We are innovating on perception algorithms for autonomous navigation, with the goal of reaching full autonomy for self-driving cars and other robots. Helm has recently secured seed funding and we are currently expanding to a team of about a dozen.

We are hiring for the positions of researcher, data scientist and machine learning engineer. For the researcher positions, previous experience in applied mathematics, computer vision and/or deep learning is recommended, but not required for otherwise highly exceptional candidates.

To apply, send your resume to vlad@helm.ai.