Social Media Lead

RedHat OpenShift (L2/L3 Expetise)

1. Setup OpenShift Ingress Controller (And Deploy Multiple Ingress) 

2. Setup OpenShift Image Registry

3. Very good knowledge of OpenShift Management Console to help the application teams to manage their pods and troubleshooting.

4. Expertise in deployment of artifacts to OpenShift cluster and configure customized scaling capabilities

5. Knowledge of Logging of PODS in OpenShift Cluster for troubleshooting.

2. Architect:

- Suggestions on architecture setup

- Validate architecture and let us know pros and cons and feasibility.

- Managing of Multi Location Sharded Architecture

- Multi Region Sharding setup

3. Application DBA:

- Validate and help with Sharding decisions at collection level

- Providing deep analysis on performance by looking at execution plans

- Index Suggestions

- Archival Suggestions and Options

4. Collaboration

Ability to plan and delegate work by providing specific instructions.

MS D365 Solution Architect  

Must have at least one Microsoft certification relating to D365

Minimum 3-5 Years’ experience

Job Description 

As a Part of a Collaborative and Entrepreneurial Team, You Will: 

 Act as the primary Dynamics and power platform Subject Matter Expert on client

engagements 

 Interact with clients to understand business requirements.

 Demonstrate MSCRM solution capabilities to the client.

 Conduct business process analysis and create Fit/Gap report.

 Create Solution design to address client business, interface, and performance

requirements.

 Advise on complex MS Dynamics CRM business cases and propose comprehensive

solutions based on MS CRM, 3rd parties and customizations.

 Create functional requirement and functional design for customizations.

 Create estimates for implementation tasks.

 Learn our client's business, their organization, systems, challenges, and goals. 

 Craft the technical vision by mapping requirements to technical capabilities. 

 Build prototypes and proofs of concept (POC) to validate technical and

solution decisions. 

 Lead client facing and internal training (technology training and/or application specific

training) 

 Contribute to continuously improving IP and demoware through creating reusable

templates, sharing of knowledge, and building reusable demos. 

 Be an innovator who can create new solutions using out-of-the-box thinking. 

 Assist sales and presales teams to prepare proposals, participate on client presentations

and support business development and the sale of professional services when

necessary.

 Estimate and design staffing for proposed solutions. 

Your Technical & Non-Technical Experience Includes: 

 3-5 years overall MS Dynamics 365 experience

 Experience as an MS Dynamics CRM solution architect in a client-facing role for MS

Dynamics top tier or similar consulting organization is highly desirable.

 Hands-on experience in designing, configuring, or administering MS Dynamics CRM

required.

 Proven experience and knowledge on power automate.

 Proven experience on customising and configuring Microsoft Dynamics 365 CRM

 Proven experience on implementing C# plugins and java scripts.

 Proven experience on creating Microsoft flows.

 Hands on experience in using XRM toolbox.

 Proven experience in integrating websites or any landing pages to dynamics 365

 Expert level – D365 Field Service and sales strongly desired 

 Knowledge of Remote Assist/Guides or other similar Mixed Reality applications

is beneficial. 

 Understanding of IoT/Connected Field Service 

 Experience of implementing integrated Dynamics 365 solutions 

o Document Core Pack

o Dynamics Portals

 Knowledge of how and when to use plugins, workflow, and JavaScript assemblies. 

 Modern Workplace (SharePoint / Teams) experience would be ideal. 

 Proven track record operating as a player– accountable for driving specific deals.

 Superior communication and personal leadership skills in a high growth environment 

Must haves:

1. He should have dynamics 365 certifications. Look for profiles who has as many certifications

as possible.

2. Knowledge on dynamics 365 sales, marketing, field service, portals.​

3. Knowledge on customisation and configuration of CRM​

4. Able to design, develop and deploy CRM solutions. ​

5. Knowledge on plugins. JavaScript development and CRM integrations

6. Knowledge on power platform and power automate.

7. Should give update on new releases pro-actively

8. Should have experience in facing the clients.

9. Create Solution design to address client business, interface, and performance requirements

Job description

Problem Statement-Solution

Only 10% of India speaks English and 90% speak over 25 languages and 1000s of dialects. The internet has largely been in English. A good part of India is now getting internet connectivity thanks to cheap smartphones and Jio. The non-English speaking internet users will balloon to about 600 million users out of the total 750 million internet users in India by 2020. This will make the vernacular segment one of the largest segments in the world - almost 2x the size of the US population. The vernacular segment has very few products that they can use on the internet.

One large human need is that of sharing thoughts and connecting with people of the same community on the basis of language and common interests. Twitter serves this need globally but the experience is mostly in English. There’s a large unaddressed need for these vernacular users to express themselves in their mother tongue and connect with others from their community. Koo is a solution to this problem.

About Koo

Koo was founded in March 2020, as a micro-blogging platform in both Indian languages and English, which gives a voice to the millions of Indians who communicate in Indian languages.

Currently available in Assamese, Bengali, English, Hindi, Kannada, Marathi, Tamil and Telugu, Koo enables people from across India to express themselves online in their mother tongues. In a country where under 10% of the population speaks English as a native language, Koo meets the need for a social media platform that can deliver an immersive language experience to an Indian user, thereby enabling them to connect and interact with each other. The recently introduced ‘Talk to Type’ enables users to leverage the voice assistant to share their thoughts without having to type. In August 2021, Koo crossed 10 million downloads, in just 16 months of launch.

Since June 2021, Koo is available in Nigeria.

1. 
   Founding Team

Koo is founded by veteran internet entrepreneurs - Aprameya Radhakrishna (CEO, Taxiforsure) and Mayank Bidawatka (Co-founder, Goodbox & Coreteam, redBus).

Technology Team & Culture

The technology team comprises sharp coders, technology geeks and guys who have been entrepreneurs or are entrepreneurial and extremely passionate towards technology. Talent is coming from the likes of Google, Walmart, Redbus, Dailyhunt. Anyone being part of a technology team will have a lot to learn from their peers and mentors. Download our android app and take a look at what we’ve built. Technology stack compromises of a wide variety of cutting-edge technologies like Kotlin, Java 15, Reactive Programming, MongoDB, Cassandra, Kubernetes, AWS, NodeJS, Python, ReactJS, Redis, Aerospike, ML, Deep learning etc. We believe in giving a lot of independence and autonomy to ownership-driven individuals.

Technology skill sets required for a matching profile 

• Experience between 3 to 7 years in a devops role with mandatory one or more stints at a fast paced startup.
• Mandatory experience with containers, kubernetes (EKS) (setting up from scratch), istio and microservices.
• Sound knowledge of technologies like Terraform, Automation Scripts, Cron jobs etc. Must have worked with goals of putting infra as code like setting up new environments with code.
• Knowledge of industry standards around monitoring, alerting, self healing, high availability, auto scaling etc.
• Exhaustive experience with various cloud technologies (especially on AWS) like SQS, SNS, Elastic Search, Elastic Cache, Elastic Transcoder, VPC, Subnets, Security groups etc.
• Must have set up stable CI-CD pipelines with capabilities to do zero downtime deployments on any one of rolling updates, blue green or canary modes.
• Experience with VPN and LDAP solutions for securely login to infrastructure and proving SSO. 8. Master of deploying and troubleshooting all layers of application from network, frontend, backend and databases (MongoDB, Redis, Postgres, Cassandra, ElasticSearch, Aerospike etc).

Job Description:

- Must have knowledge in developing web applications in PHP/MySQL

- Knowledge of Codeigniter Framework/LARAVEL

- Strong knowledge of Core PHP, OOPS and any PHP framework(Codeigniter)

- Strong knowledge of relational databases (MySQL, SQL)

Skills Required:

Excellent Communication skills, Positive attitude, Flexible, Quick learner.

Candidates who have completed training in PHP / Codeigniter Framework

Actively seeks to apply technology to appropriate tasks.

Shows willingness to learn new technology.

• Collaborate with cross-functional teams to define, design and ship new features. 
• Ability to understand business requirements and translate them into technical requirements. 
• Building big, robust. Scalable and maintainable Node JS application. 
• Debugging, fixing bugs, Identifying Performance issues, and improving App performance. 
• Developing, Deploying, and maintaining multistage, multi-tier applications. 
• Provide scalable and secure solutions to large customer problems worldwide.

About Turing:

Turing enables U.S. companies to hire the world’s best remote software engineers. 100+ companies including those backed by Sequoia, Andreessen, Google Ventures, Benchmark, Founders Fund, Kleiner, Lightspeed, and Bessemer have hired Turing engineers. For more than 180,000 engineers across 140 countries, we are the preferred platform for finding remote U.S. software engineering roles. We offer a wide range of full-time remote opportunities for full-stack, backend, frontend, DevOps, mobile, and AI/ML engineers.

We are growing fast (our revenue 15x’d in the past 12 months and is accelerating), and we have raised $14M in seed funding (https://tcrn.ch/3lNKbM9">one of the largest in Silicon Valley) from:

• Facebook’s 1st CTO and Quora’s Co-Founder (Adam D’Angelo)
• Executives from Google, Facebook, Square, Amazon, and Twitter
• Foundation Capital (investors in Uber, Netflix, Chegg, Lending Club, etc.)
• Cyan Banister
• Founder of Upwork (Beerud Sheth)

We also raised a much larger round of funding in October 2020 that we will be publicly announcing over the coming month. 

Some articles about Turing:

• https://techcrunch.com/2020/08/25/turing-raises-14m-to-help-source-vet-place-and-manage-remote-developers-in-tech-jobs/">TechCrunch: Turing raises $14M seed to help source, vet, place, and manage remote developers
• https://www.theinformation.com/articles/six-startups-prospering-during-coronavirus">The Information: Six Startups Prospering During Coronavirus
• https://medium.com/@cyanbanister/turing-helps-the-world-level-up-ff44b4e6415d">Cyan Banister: Turing Helps the World Level Up
• https://turing.com/boundarylessblog/2019/10/the-future-of-work-is-remote/the-future-of-work/">Jonathan Siddharth (Turing CEO): The Future of Work is Remote.

Turing is led by successful repeat founders Jonathan Siddharth and Vijay Krishnan, whose last A.I. company leveraged elite remote talent and had a successful acquisition. (https://techcrunch.com/2017/02/23/revcontent-acquires-rover/">Techcrunch story). Turing’s leadership team is composed of ex-Engineering and Sales leadership from Facebook, Google, Uber, and Capgemini.

About the role:

Software developers from all over the world have taken 200,000+ tests and interviews on Turing. Turing has also recommended thousands of developers to its customers and got customer feedback in terms of customer interview pass/fail data and data from the success of the collaboration with a U.S customer. This generates a massive proprietary dataset with a rich feature set comprising resume and test/interview features and labels in the form of actual customer feedback. Continuing rapid growth in our business creates an ever-increasing data advantage for us. 

We are looking for a Machine Learning Scientist who can help solve a whole range of exciting and valuable machine learning problems at Turing. Turing collects a lot of valuable heterogeneous signals about software developers including their resume, GitHub profile and associated code and a lot of fine-grained signals from Turing’s own screening tests and interviews (that span various areas including Computer Science fundamentals, project ownership and collaboration, communication skills, proactivity and tech stack skills), their history of successful collaboration with different companies on Turing, etc. 

A machine learning scientist at Turing will help create deep developer profiles that are a good representation of a developer’s strengths and weaknesses as it relates to their probability of getting successfully matched to one of Turing’s partner companies and having a fruitful long-term collaboration. The ML scientist will build models that are able to rank developers for different jobs based on their probability of success at the job. 

     
 You will also help make Turing’s tests more efficient by assessing their ability to predict the probability of a successful match of a developer with at least one company. The prior probability of a registered developer getting matched with a customer is about 1%. We want our tests to adaptively reduce perplexity as steeply as possible and move this probability estimate rapidly toward either 0% or 100%; maximize expected information-gain per unit time in other words. 

As an ML Scientist on the team, you will have a unique opportunity to make an impact by advancing ML models and systems, as well as uncovering new opportunities to apply machine learning concepts to Turing product(s).

This role will directly report to Turing’s founder and CTO, https://www.linkedin.com/in/vijay0/">Vijay Krishnan. This is his https://scholar.google.com/citations?user=uCRc7DgAAAAJ&;hl=en">Google Scholar profile. 

Responsibilities:

• Enhance our existing machine learning systems using your core coding skills and ML knowledge.
• Take end to end ownership of machine learning systems - from data pipelines, feature engineering, candidate extraction, model training, as well as integration into our production systems.
• Utilize state-of-the-art ML modeling techniques to predict user interactions and the direct impact on the company’s top-line metrics.
• Design features and builds large scale recommendation systems to improve targeting and engagement.
• Identify new opportunities to apply machine learning to different parts of our product(s) to drive value for our customers.

Minimum Requirements:

• BS, MS, or Ph.D. in Computer Science or a relevant technical field (AI/ML preferred).
• Extensive experience building scalable machine learning systems and data-driven products working with cross-functional teams
• Expertise in machine learning fundamentals, applicable to search - Learning to Rank, Deep Learning, Tree-Based Models, Recommendation Systems, Relevance and Data mining, understanding of NLP approaches like W2V or Bert.
• 2+ years of experience applying machine learning methods in settings like recommender systems, search, user modeling, graph representation learning, natural language processing.
• Strong understanding of neural network/deep learning, feature engineering, feature selection, optimization algorithms. Proven ability to dig deep into practical problems and choose the right ML method to solve them.
• Strong programming skills in Python and fluency in data manipulation (SQL, Spark, Pandas) and machine learning (scikit-learn, XGBoost, Keras/Tensorflow) tools.
• Good understanding of mathematical foundations of machine learning algorithms.
• Ability to be available for meetings and communication during Turing's "coordination hours" (Mon - Fri: 8 am to 12 pm PST).

Other Nice-to-have Requirements:

• First author publications in ICML, ICLR, NeurIPS, KDD, SIGIR, and related conferences/journals. 
• Strong performance in Kaggle competitions.
• 5+ years of industry experience or a Ph.D. with 3+ years of industry experience in applied machine learning in similar problems e.g. ranking, recommendation, ads, etc.
• Strong communication skills.
• Experienced in leading large-scale multi-engineering projects.
• Flexible, and a positive team player with outstanding interpersonal skills.

• Generating leads by identifying Specific Building Material Manufacturers / Suppliers.
• Meeting or exceeding sales goals.
• Negotiating contracts with prospective clients.
• Preparing weekly and monthly reports with respect to a number of calls, meetings & conversions.
• Giving sales presentations to a range of prospective clients.
• Coordinating sales efforts with marketing programs.
• Obtaining deposits and balance of payment from clients.
• Preparing and submitting sales contracts & following up fulfillment.
• Visiting clients and potential clients on a timely basis to ensure Customer Satisfaction & Subscription Renewals.
• Dual Reporting to Magnate + TSB management at regular intervals and/or when called for.

Candidate Pre Requisites & Qualification Criteria.

• Any Bachelors / Masters Degree with Min Exp of 2 years in Corporate Sales.
• Candidates with their Own Vehicle & Laptop will be given preference.
• Strong WiFi Connection at Residence in case of Future Lockdown(s).
• Candidate must be willing to travel Intra State & Inter-State to Unlock Sales Possibilities.
• Candidates from Real Estate / Building Materials / Concept Selling Backgrounds will be given preference.

• Design and code feature in the front-end and back-end as per the specifications provided by the Product and Design teams.
• Ship features in fast-moving agile sprints.
• Work closely with Product Design and Product Management teams to brainstorm and chalk out details of features.
• Ability to build a feature from scratch & drive it to completion

Skills Must have:

• Good understanding of Javascript and Clean architecture.
• Good understanding of asynchronous programming, callback, and closures
• Experience in developing applications that use queues like SQS, RabbitMQ, Kafka, etc
• Experience with AWS services like S3, EC2, etc
• Strong experience with Javascript frontend framework/libraries like ReactJS
• Good knowledge of CSS and its preprocessors like SASS/LESS
• Good understanding of server-side templates.
• Experience with creating cross-browser compatible web apps
• Should be Strong in MySql / Postgres database
• Stronghold in Data structure and processing JSON

Good to have

• Basic knowledge of CI, CD
• Intermediate knowledge in any cloud services(AWS, GCP)
• Familiar with testing frameworks like Mocha, Cypress

Associate Lawyer has to complete extensive case-related research into relevant case laws for a particular case. They must plan and present arguments in a court of law.

Also, Associate Lawyer is responsible for keeping everyone – from firm's senior advocates to clients – updated of the progress of a case by creating reports as well communicating verbally.