OpenStack Engineer with Storage or Networking domain Mandatory:- - Integrating Storage drivers with OpenStack- Plugin testing using OpenStack standard (tempest)- Implement OpenStack APIs : Volume, Snapshot, Image operations- Working knowledge of Python for storage integrations in both community OpenStack and RedHat OpenStack- Command line expertise on Cinder and Nova drivers- OS knowledge on Ubuntu, CentOS and RHEL- Networking concepts in flat/fabric san environments, VMware infra etc- Good understanding of DevOps
What are we looking for?? You are an engineer with an eye for constant improvement. You not only look at improving the code but also tooling, the commands you use, the user-facing documentation and everything that makes great and beautiful products possible. You can talk fluently to computers: It does not matter if it is Python, Go, Java, NodeJS or any other widely used and known programming language. Till you know one and you know it well, you fit right in. You believe languages are just tools to solve problems. You really like to solve problems, complex engineering problems! You have some exposure/understanding of systems. Out of curiosity, you tried to understand the routing, load balancing in a web server or how the Linux filesystem was built and structured the way it is. You may not have worked extensively but you definitely have dabbled with it and can think as well as understand how systems interact with each other. You can express ideas and your opinions and aren’t shy to say no if you don’t know something. We are not hiring Wikipedia after all, are we? What you will be learning and doing? You will be part of a team, building a product to solve the next generation of problems in the programmable infrastructure. It’s you who will start with defining the feature and how it will make the life of the end user better and then make it into a reality. You will most likely be programming in Go or Python (not to worry if you have not used them before, some of our best engineers started fresh on these languages after they joined us.) Most likely some part of your work might be open source and worthy of talking and presenting at conferences and meetups. You will be working with cloud native technologies such as Docker, Kubernetes, Prometheus, Service Meshes, Distributed Tracing in some shape or form. You will also be working with one or more public cloud platform from AWS/Azure/Google Cloud Platform (again, you may not know any or some of these technologies and that is not a deal breaker) Your workflow will be driven by tools such as GitHub, Slack and a lot of asynchronous communication with distributed teams. “GitHub issues” will be your new re-incarnated Jira ;) We think InfraCloud is a rocketship you should join! InfraCloud has been working in cloud native technologies with early innovators before Kubernetes was 1.0 and when it seemed like Mesos will become the standard! Our focus & history on an area of programmable infrastructure coupled with working with some innovative product companies give us some solid engineering challenges to work on. From one of our hackathons was born BotKube Project (https://github.com/infracloudio/botkube) which was developed by our engineers and community over the last 1.5 years. When we started developing BotKube’s Microsoft Teams integration, another project was born - Go SDK for Teams (https://github.com/infracloudio/msbotbuilder-go). We are also the second largest contributor as a company to Fission - a Serverless framework for Kubernetes (http://github.com/fission/fission). Another time an engineer working with a telecom company added support for 128bit tracing ID in Jaeger client. These are just some examples - and there are many more - do make a point to ask the engineers you talk to about more open source work we do. Our engineers are co-organizers of Kubernetes Pune, Docker Pune, PythonPune and can be found frequently speaking at local meetups and conferences.
Work location : Bangalore (Madiwala) Role: OpenStack/k8s developer 1. Experience in Open Stack deployment/development, CEPH/HELM/CALICO/OVS/Contrail. 2. Experience in Kubernetes deployment with Linux environments 3. Experience in Network and Storage infrastructure setup and configuration 4. Exposure to the ONAP/OPNFV and Edge computing 5. Experience in solution and design document preparation. 6. Active Participation/follow-up/contributions in or more Open source community and hence having good understanding of the way of working in Open community. 7. Experience working in Agile Delivery model
Couture.ai is building a patent-pending AI platform targeted towards vertical-specific solutions. The platform is already licensed by Reliance Jio and few European retailers, to empower real-time experiences for their combined >200 million end users. For this role, credible display of innovation in past projects is a must. We are looking for hands-on leaders in data engineering with the 5-11 year of research/large-scale production implementation experience with: - Proven expertise in Spark, Kafka, and Hadoop ecosystem. - Rock-solid algorithmic capabilities. - Production deployments for massively large-scale systems, real-time personalization, big data analytics and semantic search. - Expertise in Containerization (Docker, Kubernetes) and Cloud Infra, preferably OpenStack. - Experience with Spark ML, Tensorflow (& TF Serving), MXNet, Scala, Python, NoSQL DBs, Kubernetes, ElasticSearch/Solr in production. Tier-1 college (BE from IITs, BITS-Pilani, IIITs, top NITs, DTU, NSIT or MS in Stanford, UC, MIT, CMU, UW–Madison, ETH, top global schools) or exceptionally bright work history is a must. Let us know if this interests you to explore the profile further.