About Loonycorn:Founded by Google, Stanford, and Columbia alumni, Loonycorn is a leading studio for e-learning content on machine learning, cloud computing, blockchain, and other emerging technologies.About the Role:We are looking for folks to build software projects which will be part of technical content similar to what you'd find at the links below:https://www.pluralsight.com/search?q=janani+ravihttps://www.pluralsight.com/search?q=vitthal+srinivasanhttps://www.udemy.com/u/janani-ravi-2/This involves:- learning a new technology from scratch- coding real-world projects which use that technology (you will be a software engineer writing code, not making slides or talking about code)What is important to us:- Grit - Perseverance in working on hard problems. Technical video-making is difficult and detail-oriented (that's why it is a highly profitable business)- Craftsmanship - Our video-making is quite artisanal - lots of hard work and small details. There are many excellent roles where doing smart 80-20 trade-offs is the way to succeed - this is not one of them.- Clarity - Talking and thinking in direct, clear ways is super-important in what we do. Folks who use a lot of jargon or cliches, or work on writing code without understanding what goes on underneath will not be a fit- Creativity - Analogies, technical metaphors, and other artistic elements are an important part of what we do. What is not all that important to us:- Your school or labels: Perfectly fine whatever college or company you are applying from - English vocabulary or pronunciation: You don't need to 'talk well' or be flashy to build good projects
Professor: To drive the campus academic operations in close coordination with, a) Head of Departments. b) Faculty members c) Students To create an 'IT centre of excellence' at the campus. Should have driven the academic function of IT dept. Should have experience of handling the academic operations Associate / Assistant Professor: Adhering to university time line (other the new courses) To ensure coverage of Syllabus as per university standards Learning Outcome Examination Result ( Includes both Internal & Main Exams) Knowledge Improvement Program Innovation & Development Technical Skills: General: C++, Java, OS, RDBMS, Software Engg, Data Structure etc Niche technologies like Cloud, Mobility, Information security, Data Science, IoT and Artificial Intelligence to name a few Behavioural Competencies: Strong Leadership Qualities Excellent Communication skills Strong interpersonal skills to work with diverse teams Strong Presentation Skills Qualification: B.Tech, M.Tech & Ph.D - Completed / Pursuing Year of Exp: Professor: Min 12+ years of exp post PG and 5 years post Ph.D Associate Professor: Min 10+ years of exp post PG and 3 years post Ph.D Assistant Professor: 2+ years exp How you match Criteria provided by job poster Skills Match Teaching No match Data Privacy No match Internet of Things (IoT) No match Artificial Intelligence (AI) No match Curriculum No match Network Security No match Presentation Skills No match Information Security No match RDBMS No match Interpersonal Skills.
Architectural: Design and implement a software architecture Select a technology stack Design and configure infrastructure Select a development toolkit (IDE, etc.) Design and implement a database design Improve and optimise the application architecture Ensure scalability of the application Ensure scalability of the infrastructure Explore new technologies and decide whether to implement them Strategy, planning, and design: Take end-to-end ownership of the product, identify technology requirements, define the future product vision, create preliminary design concepts for add-on modules and shape overall technology and product roadmap by collaborating with the founders, business development, and marketing team. Ensure user oriented design is the primary approach to product development across multiple screens, based on user behaviour data and direct customer feedback. Implementation and deployment: Manage Product Release, QA cycles, feature implementation and on time delivery through in-house team and vendors. Collaborate with team and customers to define use cases. Creation of wireframes/prototypes, site maps and user-flows for web and mobile platforms. Operational management : Support marketing by implementing technical requirements for SEO/product analytics. Establish and supervise a quality assurance process, including integration & system testing. Rigorously monitor key performance metrics and coordinate with various teams to take corrective actions if needed. Establish and forecast ROI of features and succinctly articulate competitive advantage. Set-up data collection and analysis system in collaboration with CEO to track key performance. metrics. Strong fundamentals in computer science/engineering and algorithm design. Practical knowledge of computer software algorithms in machine/deep learning, NLP, Computer Vision etc. Personal Requirements: Min of 7+ years of Hands on experience in Web app development, payment gateways implementation, architecture design, product management, databases and UI/UX in consumer facing applications. Experience on projects involving engineering and algorithmic functions, machine learning, deep learning and artificial intelligence is very advantageous. Creative self-starter who is comfortable with both taking initiative and working in teams. Strong communication skills. Willingness to learn and utilise emerging technologies. Sincere passion to use disruptive technologies that can be globally significant
Cloud Architects for On-prem to Cloud Migration:Experience: 12 - 20 yearsResponsibilities : The Cloud Solution Architect/Engineer specializing in migrations is a cloud role in the project delivery cycle with hands on experience migrating customers to the cloud. Demonstrated experience in cloud infrastructure project deals for hands on migration to public clouds such as Azure. Strong background in linux/Unix and/or Windows administration Ability to use wide variety of open source technologies. Closely work with Architects and customer technical teams in migrating applications to Azure cloud in Architect Role. Mentor and monitor the junior developers and track their work. Design as per best practices and insustry standard coding practices Ensure services are built for performance, scalability, fault tolerance and security with reusable patterns. Recommend best practises and standards for Azure migrations Define coding best practices for high performance and guide the team in adopting the sameSkills:Mandatory: Experience with cloud migration technologies such as Azure Migrate Azure trained / certified architect – Associate or Professional Level Understanding of hybrid cloud solutions and experience of integrating public cloud into tradition hosting/delivery models Strong understanding of cloud migration techniques and workflows (on premise to Cloud Platforms) Configuration, migration and deployment experience in Azure apps technologies. High Availability and Disaster recovery implementations Experience architecting and deploying multi-tiered applications. Experience building and deploying multi-tier, scalable, and highly available applications using Java, Microsoft and Database technologies Experience in performance tuning, including the following ; (load balancing, web servers, content delivery Networks, Caching (Content and API)) Experience in large scale data center migration Experience of implementing architectural governance and proactively managing issues and risks throughout the delivery lifecycle. Good familiarity with the disciplines of enterprise software development such as configuration & release management, source code & version controls, and operational considerations such as monitoring and instrumentation Experience of consulting or service provider roles (internal, or external); Experience using database technologies like Oracle, MySQL and understanding of NoSQL is preferred. Experience in designing or implementing data warehouse solutions is highly preferred. Experience in automation/configuration management using Puppet, Chef, Ansible, Saltstack, Bosh, Terraform or an equivalent. Experience with source code management tools such as GitHub, GitLab, Bitbucket or equivalent Experience with SQL and NoSQL DBs such as SQL, MySQL. Solid understanding of networking and core Internet Protocols such as TCP/IP, DNS, SMTP, HTTP and routing in distributed networks. A working understanding of code and script such as: PHP, Python, Perl and/or Ruby. A working understanding with CI/CD tools such as Jenkins or equivalent A working understanding of scheduling and orchestration with tools such as: kubernetes, Mesos swarm or equivalent.
Balbix is looking for a senior engineer/architect for its connector platform development. You will play a key role in choosing the technology stack, architecture, feature set of Balbix's connector initiative. Balbix consumes information from many different sources with the enterprise, such as Active Directory servers, switches and routers.Balbix is looking to create a catalog of connectors, including to cloud environments such as Azure, GCP and AWS.As the initial member of the connector team you will collaborate with Balbix's product management, and technical leads to ensure scalable, rapid, high quality connectors. You will also have the chance to build a team around you to deliver the connector catalog to solve real-world problems plaguing cybersecurityJob Responsibilities : Job Responsibilities. Work on building the next generation of connectors for the platform. Working up and down the stack. Contribute to design decisions and code review Work shoulder to shoulder with some of the best people in different disciplines (engineering, product management, marketing, design and sales) Architect, design and build a scalable factory and associated infrastructure to allow the rapid development of connectors to a wide range of systems and components Architect, design, and test APIs between the connectors and the Balbix Brain. Streamline the DevOps lifecycle to ensure continuous deployment and delivery into production Hire and lead an agile team of engineers and testers Job Requirements 7+ years of backend development experience. Extensive experience in cross platform development using a variety of programming languages such as Python, C++ and Java Extensive experience working in AWS or Azure Cloud Extensive experience with software architecture and API design Extensive experience in building high quality products using automation Experience setting up CI/CD pipelines with rapid deployment into production Ability to hire a world class agile development and testing team Excellent communications skills Bachelor's degree in CS or related discipline Motivation and passion for building world class enterprise products Experience in working in Scrum Agile development organization Experience with cybersecurity is considered an advantage Experience developing microservices. Bachelor's degree in CS or related discipline A GitHub, Quora or StackOverflow account that demonstrates what you love to do This role represents a unique opportunity to join a hyper-growth company in a key role where you can make a big impact on the trajectory of the company.
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.
Role Summary FourKites is looking for a Cloud Operations Architect to design, build, and optimize our SaaS cloud platform. This technical leader will assess and identify operational reliability of the stack with intimate focus on availability, performance, and resiliency. The architect will also lead capacity management initiatives and work closely with development / product business units. The ideal candidate needs to have the ability to communicate and influence change in all levels of the organization. Roles & Responsibilities Serve as the Technical Champion and SME for Cloud Infrastructure Provide strategic architecture leadership with a mastery in Infrastructure on projects and initiatives Work closely with Product Management, Sales, and Product Support in understanding the business objectives Partner with Engineering leaders and peers in delivering technology solutions that meet the business requirements Maintain the vision of Operational Excellence in Availability, Performance, and Resiliency Define, document, and set standards and best practices for infrastructure and platform services Provide leadership and mentorship to junior level Engineers and Architects Experience (Must have) 5+ years as a Cloud Architect with demonstrable success in delivering projects 8-12 years of experience in development and/or operations experience Deep experience in Cloud technologies and services (Azure or AWS) in a highly agile and dynamic environment Expertise in architecture and design of Cloud infrastructure supporting a SaaS or PaaS Platform Experience in moving and migrating workloads from one Cloud platform to another Strong understanding of networking principles and technologies Experience in containerization technologies Independently capable of performing technology assessments and gap analysis in the infrastructure domain Excellent written and verbal communication skills with the ability to present complex technical information in a clear and concise manner to a variety of audiences Experience (Nice to have) Automation experience with Ansible, Chef, or CloudFormation Programming experience in Ruby on Rails, GoLang or Java is a plus. Educational Qualification: Graduate with B.E, MSc or MCA background
ABOUT EPISOURCE:Episource has devoted more than a decade in building solutions for risk adjustment to measure healthcare outcomes. As one of the leading companies in healthcare, we have helped numerous clients optimize their medical records, data, analytics to enable better documentation of care for patients with chronic diseases. The backbone of our consistent success has been our obsession with data and technology. At Episource, all of our strategic initiatives start with the question - how can data be “deployed”? We have built our own machine learning and NLP platform to infuse added productivity and efficiency into our workflows. Combined, these build a foundation of tools and practices used by quantitative staff across the company. Our platforms and datalakes ingest huge quantities of data daily, to help our clients deliver services. What’s our poison you ask? We work with most of the popular frameworks and technologies like Spark, Airflow, Ansible, Terraform, Docker, ELK. For machine learning and NLP, we are big fans of keras, spacy, scikit-learn, pandas and numpy. AWS and serverless platforms help us stitch these together to stay ahead of the curve. ABOUT THE ROLE: We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes. This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals. You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company. SKILLS: Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience Knowledge of deep learning & NLP Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets. Experience with GPU computing is a plus. Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company. Expert-level experience with a wide range of quantitative methods that can be applied to business problems. Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization. Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders. Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling What you will achieve: Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space Partner with the executive team and other business leaders to deliver cross-functional research work and models
Create regional sales plans and quotas in alignment with business objectives Self-driven individual with revenue closing experience and pipeline building Identify and qualify high ticket deals and opportunities. Must have knowledge on leading cloud services like AWS/Azure/Digital Ocean Support sales with day-to-day sales operation Evaluate individual performances Report on regional sales results Forecast weekly/Monthly/quarterly with Sales pipeline and closures Identify hiring needs, select and train new salespeople Prepare and review the annual budget for the area of responsibility Analyze regional market trends and discover new opportunities for growth Address potential problems and suggest prompt solutions Participate in decisions for expansion
Lead Engineers - Devops & Containers ( Excited to travel, we have an opportunity for you )Why join TVS Next We help our clients reimagine, design and develop software to make this world a better place. Our missions are bold and hence we are on constant look out for people who are exemplary and want to build the future with us. What is expected from this role To Build scalable, efficient cloud infrastructure. What you’ll do You will learn to design and guide implementations of cloud-ready applications and deployment pipelines on large-scale container platform clusters using Java, Node.js, Docker, Kubernetes, Ansible by Red Hat, and OpenShift by Red Hat. You won't be expected to know everything on day one, but your ability to learn new technology quickly will be essential. Things you’ll need 4+ Years of experience preferred Hands-on experience in below ponters: Linux CLI (RHEL preferred) Agile/SCRUM Kubernetes/Docker, Container Platforms (OpenShift preferred) Java, Python, (.NET optional), HTML/CSS CI/CD: Jenkins, Git(hub/lab) Cloud: (Azure a plus) (GCP) (AWS) Openshift platform experience is a plus