Our systems are almost all running on Linux and most of our code is in Python, with the full scientific stack: numpy, scipy, pandas, scikit-learn to name a few of the libraries we use extensively. We implement the systems that require the highest data throughput in Java. For storage, we rely heavily on MongoDB and Oracle.
We use Airflow for workflow management, Kafka for data pipelines, Bitbucket for source control, Jenkins for continuous integration, Grafana + Prometheus for metrics collection, ELK for log shipping and monitoring, Docker + Kubernetes for containerisation, OpenStack for our private cloud, Ansible for architecture automation, and Slack for internal communication. But our technology list is never static: we constantly evaluate new tools and libraries.
Man Tech has a small company, no-attitude feel. It is flat structured, open, transparent and collaborative, and you will have plenty of opportunity to grow and have enormous impact on what we do. We are actively engaged with the broader technology community.
o We host and sponsor London’s PyData and Machine Learning Meetups o We open-source some of our technology. See https://github.com/man-group o We regularly talk at leading industry conferences, and tweet about relevant technology and how we’re using it. See @manquanttech Essential Skills o Exceptional technology skills; recognised by your peers as an expert in your domain o A proponent of strong collaborative software engineering techniques and methods: agile development, continuous integration, code review, unit testing, refactoring and related approaches o Expert knowledge in one or more programming languages, preferably Python, Java and/or C/C++ o Proficient on Linux platforms with knowledge of various scripting languages o Strong knowledge of one or more relevant database technologies e.g. Oracle, MongoDB o Proficient with a range of open source frameworks and development tools e.g. NumPy/SciPy/Pandas, Pyramid, AngularJS, React o Familiarity with a variety of programming styles (e.g. OO, functional) and in-depth knowledge of design patterns.
If you're interested, please get in touch with Milly Parrott milly.parrott@man.com
Motive builds technology to improve the safety, productivity, and profitability of businesses that power the physical economy. The Motive Automated Operations Platform combines IoT hardware with AI-powered applications to automate vehicle and equipment tracking, driver safety, compliance, maintenance, spend management, and more.
Motive serves more than 120,000 businesses, across a wide range of industries including trucking and logistics, construction, oil and gas, food and beverage, field service, agriculture, passenger transit, and delivery. Motive is proud to be a Forbes Cloud 100 company and a 2020 Career-Launching Company by Wealthfront.
We are looking to hire team members that are passionate about building products that will have a massive impact on the lives of people. We seek and embrace diversity in all of its forms. We continuously push ourselves to think differently and take ownership wherever it's needed. This is a place for dreamers and doers to succeed. If you share our passion for achieving what some say is impossible, join us.
https://gomotive.com/company/careers/#search-jobs
Visa Sponsorship: We can transfer H1b visas, we are also hiring in India, Canada, Taiwan, and Pakistan
Sample Tech Stack: Golang, Ruby, Java, AWS, PostgresSql, DynamoDB, Redis, Cassandra, Kafka, etc.
Located in Northern California, the team at Joby Aviation is driven by our goal of creating an affordable, all-electric air transportation system. Imagine a piloted air taxi that takes off vertically, then quietly carries you and your fellow passengers over the congested city streets below, enabling you to spend more time with the people and places that matter most. Since 2009, our team has worked steadily to make this dream a reality. We’ve designed and tested many generations of prototype aircraft capable of serving in a network of electric air taxis. We’re looking for talented, committed individuals to join our team as we push onwards toward certifying the Joby aircraft with the Federal Aviation Administration, scaling our manufacturing, and preparing to launch commercial service in 2025.
The Air Taxi team is growing and we need more engineers to help build our platform and apps to support day to day operations and rider engagement. Why we like working here:
- Software engineering team is hybrid between the Bay Area and remote. We have an onsite for a week every 3 months where we gather to plan and hang out.
- We're full of aviation enthusiasts so if you're a pilot or want to be this is the place to be.
- The problems we're solving are difficult and fun.
Notable Roles:
- Senior Full Stack Software Engineer: https://careers-jobyaviation.icims.com/jobs/2983/senior-full...
- Senior Backend Software Engineer: https://careers-jobyaviation.icims.com/jobs/2980/senior-back...
Stack:
- Backend: Java, Rust, Federated GraphQL, GRPC, MySQL, Kafka, Redis
- Frontend: Typescript, React, Remix
- Mobile: Swift, SwiftUI + UIKit, TCA
Location: West coast Canada.
Remote: Yes.
Technologies: Machine learning, Python, Tensorflow/Keras/pytorch, spark, Scala, AWS, kafka, HDFS, etc. A whole host of technologies over 20 year career. email in profile.
I'm an experienced Data scientist, who's worked on a bunch of interesting projects. With Covid I've come to realize I need to work in public more often.
So an ideal fit would be a small/medium company with hair on fire problems that need solving that I can talk about publicly.
What sort of problems do I like?
A Taxi company in latam hired me to built a fleet maintenance system. It predicted and scheduled preventative maintenance to reduce wear and tear and avoid breakdowns. We also identified the leading cause of wear - leadfoot drivers. So we built a system that would identify aggressive driving.
Another example was a speculative sports highlights annotation system I built with a consultancy. It ingested sports video and identified predetermined highlights in baseball - diving catches in our case. The ML pipeline was a CNN model which fed into an RNN. Given a bunch of video clips of diving catches as training data, it could later identify those diving catches and automatically annotate the video feeds.
Who shouldn't contact me.
If your market is Ads or gambling I'm not interested. Sure there's lot of money, but I'd rather sleep at night. Thanks.
We are wikimove, a startup focused on changing how mobility is implemented in cities around the world. We build a MaaS (Mobility-as-a-Service) platform which enables cities to take control over urban mobility. Come work with us to help reduce climate change through technology and help make the world better today and for future generations. Our existing customers range from cities to large transportation associations within Germany. Our next step is to expand into other European countries.
Please find the full role descriptions and the application email at https://wikimove.me/?page_id=1579.
We have are hiring for the following roles:
+Senior Backend Engineer (Spring, WebFlux, RxJava, Kafka, Kubernetes) https://wikimove.me/?page_id=1876
+Senior Frontend Engineer (React, Redux) https://wikimove.me/?page_id=1877
+Senior Mobile Engineer (Flutter, RxDart) https://wikimove.me/?page_id=1878
Tech stack includes Go, Rust, Ruby on Rails, Kafka, Postgres, Redis, InfluxDB, Typescript, React
OneSignal is building the best platform for businesses to intelligently engage with customers across every channel. We provide a simple interface to push notifications, email, and in-app messages, letting content creators focus on quality user engagement instead of complex implementation.
We're hiring Senior Software Engineers across multiple teams.
More information and apply at https://onesignal.com/careers