Job Description SigTuple is seeking Systems or Backend Engineers engineers to build a highly scalable platform for running deep learning based medical solutions. The engineering team of SigTuple is responsible for simplifying complex workflows of medical analyses into an elegant software design to make it scalable and distribute it across hundreds of machines. In this role, you'll utilize a combination of systems design experience, network knowledge, troubleshooting skills, and programming to to ingest terabytes of data, analyse it using distributed computing and deliver infrastucture and storage platform services. The ideal candidate is a technical generalist with skills ranging from production systems/network management to software development. Experience with delivering in cloud based platforms is a must. Responsibilities 1. Design and create distributed system software frameworks for processing data in a near real-time manner. 2. Create next generation software for data scientists to analyse and train their AI models on which require you to understand data science and AI. 3. Complete ownership of infrastructure components and automation of operational activities. 4. Ensuring reliability of all systems made by various development teams. Requirements 1. BTech/MTech in any engineering discipline. 2. 3-6 years of experience in an Backend or Systems Role. 3. Experience in management of cloud computing services. Extensive knowledge of any one cloud platform (AWS, Azure, OpenStack etc.) 4. Proficiency with OS and network fundamentals 5. Experience of working with scale is a must 6. Hands on experience with machine learning will be a plus
Site Reliability EngineerJob Description :You will be administering the infrastructure of an indigenous one-of-a-kind artificial intelligence cloud platform. You will be working with the dev teams to deploy, monitor and scale the distributed platform to handle real time AI analysis and loads and loads of visual data (images and videos in various formats). We're looking for people with extensive dev-ops experience and strong system programming skills.Responsibilities :1. You will be responsible for the up time and reliability of infrastructure of SigTuple and help backend teams achieve it by writing reliable software and automation2. Work with other development teams to automate deployment of modules and manage the build and release pipeline.3. Extensive process-level and node-level monitoring and auto healing of entire cluster.4. Managing, provisioning and servicing cloud servers.5. Contribution to back-end services to contribute to its infrastructure system design.Requirements :1. BTech/MTech in any engineering discipline.2. 3-6 years of experience in an Dev-Ops/Software Engineering role.3. Experience in management of cloud computing services. Extensive knowledge of any one cloud platform (Kubernetes, AWS, GCP, Azure etc.)4. Proficiency with any major monitoring framework (Sensu, Nagios etc.).5. Comfortable with any one scripting language (Python, Perl) and a Configuration management or Orchestration Tool (Ansible, Chef etc)6. Proficiency with OS and network fundamentals and strong Linux administrator skills.7. Experience with Container Tools (Docker ecosystem) will be a plus8. Experience of working with issues of scale of a system.9. Experience of working in a startup is a plus.
Should have strong knowledge in Java, Node JS, Apache Spark, web service, REST API website, R and Databases ( SQL or No SQL) · Should be strong in multi-threading · Good understanding of machine learning and big data · Hands on experience in of cloud Platform like Azure, AWS and bluemix. · Good understanding of protocols like TCP,UDP,FTP,MQTT and Kafka · Having hands on experience on following areas o Should have knowledge on IOT cloud and multiple verticals ( Telecom, Solar, EMS, Smart City, Industrial ) o Experience in developing and deploying web and worker roles, web sites, and using queues o Experience in developing highly scaling and performing services . o Experience in using MYSQL Mongo DB, and any other No SQL databases o Experience in caching techniques in azure PAAS, preferably Redis cache o Basic knowledge of analytics o Hands on experience in API management is added value · Self-motivated, independent and quick learner
DevOps Consultant: Experience: 9-15 years. Develop a cloud transaction mechanism to improve scalability and reduced costs. 5 years of experience with coding or scripting languages - with at least two of the following (Shell, Ruby/JRuby, Perl, Python, PowerShell, Java, Go, Bash) Experience in mentoring and executing Agile, Lean, and Continuous Delivery best practices Strong technical foundation in a number of the following tools and technologies: Linux and/or Windows (Ubuntu/Debian and/or RedHat/Centos/Fedora Virtualization (VMWare, Xen, KVM, VirtualBox) Cloud computing 5+ years: (AWS, Google - GCP/GAE/GCE, Rackspace Cloud, Azure) Infrastructure automation 3+ years (Chef, Puppet, Salt, Ansible) Build tools (Maven, Ant, NAnt, MSBuild, Rake, GNU Make) Continuous integration tools (Cruise, TeamCity, Jenkins) SCM tools (Git, SVN, Perforce, Mercurial)
Skills Required: Cloud Scaling and Performance Management Cloud Deployment Infrastructure management for high Load Scaling Experience - 2-5 Years About Us: RecoSense is a Data Science Led Venture into Recommendation, Personalization and Machine Learning Framework. Email Id: email@example.com Regards, Swathi Udhyakumar
GE Digital is looking for game changers at a Sr. Staff Architect level to work on the Wall of Analytics (WOA) product. Reach out to me for more details.
Looking for performance engineer for Redhat cloudforms product ( Hybrid cloud). Need ruby, rails, vmware, rhev, cloud, virtualization, python, ansible.