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We're looking for a talented multi-faceted full stack developer who also has a good baseline in systems, networking, security.
This person is going to continue/takeover/assist with the CTO's development effort and will report to the CTO.
At a high level, here's what you'll be doing: Coding API Integrations with a bunch of systems Expanding our own API Development of multiple web front-end interfaces - both customer facing & internal facing
About you: You dig Node.js, but let's be real, if you can really code, the details shouldn't matter that much You understand [at least relational] databases and you have a good balanced idea of when to abstract You love at least one front-end library (Angular, React, et al) You code with a 'REST API first' mentality and front-end comes after You see JSON blocks as art You consider security implications while you're coding
Ideally, you'll also: Have a systems/network background to understand the DevOps side and implications of what you're doing Have comfort with cloud infrastructure orchestration & automation Have some depth in cryptography and/or security Have a passion for data and have played with D3.js or similar Can code mobile apps for Android and iOS
You should have the following experience & education: Just kidding. We're not going to throw out arbitrary lengths of time and list external validations and pretend that matters. If you can do this stuff and are interested in what we're building, reach out.
Obligatory keyword skills list: Languages: JavaScript, Go/Golang, PHP, Python Frontend/Backend: Node.js, Agular, React, Vue, HTML, CSS SOA: Microservices, REST, RESTful Data structures: JSON, XML SQL & NoSQL: MySQL, PostgreSQL, MongoDB Cryptography: PKI, SSL, TLS, and much more Systems & Network: Linux, nginx, apache, IP, IPv4, TCP, HTTP, SSL/TLS Security: SIEM, Splunk, Suricata, Bro, DNSBL Cloud: AWS, EC2, RDS, CloudFormation Authentication/AAA: JWT, Radius, LDAP, SAML, et al SaaS Integrations Development: OO, GIT, Agile, CICD
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About Raven Black
What turns a minor skirmish into a major war? How does a natural disaster become a humanitarian crisis? Often, its poor decision-making caused by incomplete or inaccurate information that causes miscalculations, missed opportunities, and accidental escalations. That lack of knowledge and the uncertainty it causes is called "the fog of war."
Raven Black's command and control software platform does precisely that by combining scalable data infrastructure, machine learning, and visualization tools. Its purpose is to lift the fog. Raven Black has raised $4.5M from top tier VCs, including Accel, and has generated over $3.9M in revenue.
What You'll Do
Our platform ties together dozens of data sources, any one of which could be the critical piece of the puzzle a decision-maker needs. Your job will be to thread new sources through our platform, from ingestion through parsing, ETL, ML/AI models, and visualization. In the process, you'll learn everything about how the system works and contribute to our core infrastructure development. Each time you succeed, the fog of uncertainty will retreat that much further.
You may be a great fit if you...
smlXL is a 'stealth' start-up building an Information retrieval service with Consumer and Enterprise applications. Our first focus is providing a far richer understanding of the semantics of blockchain activity, making data and information accessible and useful to all.
We aren't ready to talk broadly about what we are working on, but we might be a good place for you if:
You are highly technical; you care about your craft; you are constantly learning; used to working on baremetal servers and running your own stack, you are fascinated by Information Systems, Semiotics, and Blockchain data; you get excited by turning black boxes transparent; and you love working on things that add a ton of value to consumers and prosumers alike; or you are into the EVM, decompilers, databases, and distributed systems.
About You
Benefits and Support
About
Weaveworks was founded in 2014 and we are the company behind popular Kubernetes tools like Flux, Scope, the official CLI for Amazon EKS called eksctl and the flagship enterprise product Weave Kubernetes Platform.
Our mission is to help the world’s leading organizations to adopt Kubernetes and other Cloud Native technologies and working practices. Enterprises use our products and services to build better software and operate it reliably, at scale. Our approach brings together container-based application deployment, Kubernetes, and operations tooling in a model we call GitOps.
The role
We want to bring an empathetic and collaborative engineer into one of our teams that focuses on a blend of open source and commercial code. We are building a product that enables organizations to operate with a GitOps mindset.
This needs someone who is comfortable navigating sometimes unclear scenarios and is proactive in wanting to help figure things out.
You will be helping to develop and maintain tools and products which make using cloud-managed and on-premise Kubernetes installations easy.
What you’ll be doing
We’re looking for you if you
We really want to hear from you if you
Sounds good? Excellent!
Weaveworks is committed to diversity in its workforce and is proud to be an equal opportunity employer. Weaveworks considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. Weaveworks is an Affirmative Action and Equal Opportunity Employer.
Black lives matter.
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We're Checkout.com
We're building the connected finance businesses deserve. Unleashing them with tomorrow's technology, today. Our flexible payments solutions help global enterprises — like Samsung, Deliveroo and Adidas — launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.
We liberate smart, passionate people to collaborate, innovate and do their best work — faster. That's why we're one of the most valuable fintech firms around. But we're just getting started. By cutting through financial complexity, we'll empower companies to change the world. Join us. Unlock your potential.
Build tomorrow, today.
Senior Software Engineer at Checkout.com:
Our solutions allow merchants to route dynamically a transaction to the best payment provider to optimise their conversion rate. Your main task will be to design and create or maintain micro-services within our infrastructure. Our product handles millions of transactions within a week. The API has its key part on it but the load is also on a multitude of other services.
You will work closely with our technical teams to learn about the possible technical bottle-necks. We have implemented different technologies such as Go (go-kit toolkit, gRPC…), Kubernetes, AWS, PostgreSQL and many others. Your role would be to lead us to new technologies that our product can benefit from.
Our product handles financial data making uptime one of our key KPIs. We expect that you will be able to work on high-availability and technically challenging programs.
You will join a talented team of 10 engineers, Data Scientists and DevOps, that are tech-passionate, working closely with most of them. Our main goal is to ensure that we can contribute to your personal growth as an engineer.
Payments are often compared to a black-box. Merchants around the world have issues understanding how their performance is and what optimization can be done. Our team is focused on building the best payment performance tool there is. It allows merchants to better understand their online processes as well as offline payments.
We offer 2 products to our merchants:The first, named Telescope, allows us to analyse, understand and make recommendations to a merchant. It does not require any technical integration from them and works mainly through webhooks, pulling data from APIs or parsing exported files.
If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.
#LI-RS2
What we stand for
At Checkout.com, everything starts with our values, including the experience we offer our people.
#Aspire
We supercharge your professional growth with career development programs and leadership training. You can learn your way, with tailored pathways and online platforms. And be inspired at relevant conferences.
#Excel
We don't stop at 'good' here. We strive for excellence amongst our teams every day and recognize colleagues who take it to the next level through our quarterly peer-nominated Hero awards.
#Unite
We're proud of our global connections and inclusive environment. So we champion this through our colleague-led community groups and celebrate many cultural events together.
More about Checkout.com
We empower businesses to adapt, innovate and thrive with the connected payments they deserve. Our technology makes payments seamless. We provide the fastest, most reliable payments in more than 150 currencies, with in-country acquiring, world-class fraud filters and reporting, through one API. And we can accept all major international credit and debit cards, as well as popular alternative and local payment methods. Checkout.com launched in 2012, and we now have a team of 1000 people across 17 international offices. To date, we’ve raised a total of $830 million, with our recent Series C valuing us at $15 billion.
We believe in equal opportunities
Checkout.com is an equal opportunities employer. We welcome applications from all members of society irrespective of age, sex, disability, sexual orientation, race, religion, or belief. We make recruiting decisions based on your experience, skills and personality. We believe that employing a diverse workforce is the right thing to do and is central to our success.
Seldon is looking for a Software Engineer to join our team. We are focused on making it easy for machine learning models to be deployed and managed at scale in production. We provide Cloud Native products that run on top of Kubernetes and are open-core with several successful open source projects including Seldon Core, Alibi:Explain and Alibi:Detect. We also contribute to open source projects under the Kubeflow umbrella including KFServing.
About the role Design and build scalable machine learning solutions on top of the open source and enterprise Seldon products. Working on bring the Explainable AI and ML Monitoring available in the Alibi projects into the enterprise products for general use.
Essential skills A degree or higher level academic background in a scientific or engineering subject. Familiarity with linux based development. At least 2 years of experience in industry or academia showing completed projects.
Core skills (The role will be focused on these skills so we would expect existing experience or a demonstrable desire to learn these) Experience with GoLang and Python Experience with Kubernetes and the ecosystem of Cloud Native tools. Experience using machine learning tools in production. Bonus skills (Any of these will be of great interest to us) A broad understanding of data science and machine learning. Understanding of explainable AI or machine learning monitoring in production Familiarity with Kubeflow, MLFlow or Sagemaker Familiarity with python tools for data science
About our tech stack Some of our high profile technical projects: We are core authors and maintainers of Seldon Core, the most popular Open Source model serving solution in the Cloud Native (Kubernetes) ecosystem We built and maintain the black box model explainability tool Alibi We are co-founders of the KFServing project, and collaborate with Microsoft, Google, IBM, etc on extending the project We are core contributors of the Kubeflow project and meet on several workstreams with Google, Microsoft, RedHat, etc on a weekly basis We are part of the SIG-MLOps Kubernetes open source working group, where we contribute through examples and prototypes around ML serving We run the largest Tensorflow meetup in London And much more 🚀
Some of the technologies we use in our day-to-day: Go is our primary language for all-things backend infrastructure including our Kubernetes Operator, and our new GoLang Microservice Orchestrator) Python is our primary language for machine learning, and powers our most popular Seldon Core Microservices wrapper, as well as our Explainability Toolbox Alibi We leverage the Elastic Stack to provide full data provenance on inputs and outputs for thousands of models in production clusters Metrics from our models collected using Prometheus, with custom Grafana integrations for visualisation and monitoring Our primary service mesh backend leverages the Envoy Proxy, fully integrated with Istio, but also with an option for Ambassador We leverage gRPC protobufs to standardise our schemas and reach unprecedented processing speeds through complex inference graphs We use React.js for our all our enterprise user products and interfaces Kubernetes and Docker to schedule and run all of our core cloud native technology stack
Benefits Share options to align you with the long-term success of the company. Exciting phase of fast-paced start-up challenges with an ambitious team and unlimited potential for professional growth. Access to discounted lunches, gyms, shopping and cinema tickets. Healthcare benefits. Cycle To Work Scheme.
Logistics Our interview process is normally a phone interview, a coding task, and 2-3 hours of final interview (carried out virtually). We promise not to ask you any brain teasers or trick questions. We might design a system together on a whiteboard, the same way we often work together, but we won’t make you write code on one. Our recruitment process has an average length of 3 weeks.
We’re changing the way people think about transportation. Not that long ago we were just an app to request premium black cars in a few metropolitan areas. Now we’re a part of the logistical fabric of more than 600 cities around the world. Whether it’s a ride, a sandwich, or a package, we use technology to give people what they want, when they want it.
For the people who drive with Uber, our app represents a flexible new way to earn money. For cities, we help strengthen local economies, improve access to transportation, and make streets safer.
And that’s just what we’re doing today. We’re thinking about the future, too. With teams working on new modalities, self-driving cars and even urban air transportation, we’re in for the long haul. We’re reimagining how people and things move from one place to the next.
Hi! We’re the Go team at Uber. You might recognize us from such classics as zap, fx,go-torch, and Go Profiling and Optimization.
As part of the Go team you’ll join a group of language experts solely focused on improving the quality, performance and stability of Go code across the company and the broader open-source community. You’ll work with some of the most talented, high-velocity engineering teams and ensure that the most pressing development problems are solved, and the solutions are reusable for engineers everywhere in the organization. The code you build and maintain will be at the heart of critical systems across Uber, from infrastructure to user-facing products and services. You’ll empower a large and quickly-growing engineering organization to do its best work and deliver high-quality products quickly. You’ll ensure that moving fast doesn’t mean sacrificing stability, quality, performance or maintainability. And along the way, you’ll get to shape the very future of engineering at Uber.
We need passionate, skilled developers who can think at both the code and organizational levels, engineers who care deeply about building systems and libraries the right way, who are eager to take on ownership of business-critical code, and who are opinionated and uncompromising in their pursuit of technical excellence.
Experience working on distributed software projects in a large organization.
Experience leading, contributing to, or maintaining open-source projects.
Experience as a technology-specific speaker or evangelist.
Be sure to check out the Uber Engineering Blog to learn more about the team.