Java
Docker
React.js
KubernetesHasura is an open-source project at the intersection of the GraphQL and serverless movements and empowers developers to build powerful and scalable applications easily. Our technology gives teams instant realtime GraphQL APIs and event-sourcing for serverless on a database in a manner is high-performance, low-footprint, and horizontally scalable out-of-the-box.
Hasura is being adopted by developers in startups as well as some of the largest Fortune 500 companies today. We are very excited to be at the intersection of these 2 massive ecosystem trends that will have a profound impact on development workflows going forward and we are looking for amazing people who are as excited as we are to join us on this journey!
Brief Overview:
You will be working primarily with large enterprise teams. You will seek to understand their challenges and context, and architect and engineer solutions that help them best leverage a Hasura deployment.
Depending on requirements, you may either work with a particular customer for significant periods of time, or with multiple customers. In each case, you will prioritize creating long-term relationships with our customers and providing genuine value.
Internally, you will work very closely with the sales and product teams and will have a significant influence on refining sales processes and the roadmap.
What we are looking for:
- Prior experience with one or more of the following:
- Enterprise technology teams
- Technology consulting
- A pre-sales or post-sales role
- Experience working on client facing engagements.
- Engineering experience with strong understanding of software engineering fundamentals and ability to pick up new technology stacks.
- Creative problem-solving skills.
- Ability to think strategically and co-create long term vision for Hasura deployments with enterprise team leads and executives.
- Very good written & spoken communication skills in English.
- For positions in the US: Willingness to travel within the US (and occasionally abroad). All expenses will be covered.
Qualifications:
- Prior experience in a developer tools company.
- Experience working with any of the following technologies:
- GraphQL
- Docker
- Kubernetes
- Postgres
- Frontend frameworks such as React, Angular, Javascript
- Experience with any of the following:
- Setting up and maintaining CI/CD pipelines
- Setting up and maintaining test suites
- Setting up and managing infrastructure
- Database admin
Location:
- Openings available:
- In office in San Francisco, US
- In office in Bangalore, India
- For remote work based out of the US
Working at Hasura:
As a team, we take a lot of pride in our work. We obsess over the developer experience, and our first priority as a company will always be to make things easier for our users.
We offer competitive salaries, have a generous vacation policy and provide health insurance for everyone employed with Hasura.
We are an equal opportunity employer and do not tolerate discrimination of any kind.
Applying:
About Hasura:
Shubham Vishwakarma
Full Stack Developer - Averlon
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- Ability to multitask in a fast-paced environment
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- Has excellent written English and knows how to write exciting posts
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Work Experience: 0 years to 3 years
About Sizzle
Sizzle is building AI to automate gaming highlights, directly from Twitch and YouTube videos. Sizzle works with gaming streamers and esports teams and leagues to help them manage their social channels. Sizzle is available at http://www.sizzle.gg/" target="_blank">www.sizzle.gg.
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- Screen candidates resumes and job applications
- Conduct interviews using various reliable recruiting and selection tools/methods to filter candidates within schedule
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- Monitor and apply HR recruiting best practices
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CC++Quantum Corp. leads the world in helping users collaboratively solve some of the world's hardest computer challenges. Whether its wrangling Petabytes of data for cutting edge movie production, managing global content production workflows, exploring new sources of energy, or managing oceans of content and blending collaborative high-speed workflows with cutting-edge object storage, Quantum has the tools and technology to help you engineer the solution that works now - and preserves your work for decades to come. You are applying to an exceptional team that contributes to enhancing our position as a proven global expert in data management.
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Specific duties include but are not limited to:
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Desired Skills:
• Knowledge of kernel internals including any of the following: Linux and Mac OS X.
• Interfaces with special purpose file system APIs and web services required.
• Knowledge and experience with container technologies (Kubernetes, Docker)
• Knowledge and experience with Virtualization technologies: ESX, KVM
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· Consumer Insights driven marketer with a keen understanding of consumer trends/sentiment
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· Able to Independently manage advertising/agencies
· Partner with the marketing and creative team to provide insights and strategic direction.
· Lead creation of communication briefs, basis the identified insights
· Own campaign assessments and feedback loop for improvements/course corrections
· Sound knowledge of Research including Brand Track, its implications etc
1. Work on lead generation via joining the Twitter community, Telegram groups, LinkedIn, and other professional and social media networks
2. Manage a pipeline, generate new leads, identify and contact decision-makers, screen potential business opportunities
3. Manage recurring prospects while engaging with new clients, educating, and optimizing for value and brand awareness
4. Generate leads and build relationships by nurturing warm prospects and finding new potential sales outlets
5. Handle inbound requests generated via the sales and marketing team
6. Identify best practices to refine the company's lead generation playbook
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8. Utilize CRM, and multiple communication channels, to generate new sales opportunities
9. Build long-term trusting relationships with prospects to qualify leads as sales opportunities
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11. Report to the assigned manager with weekly, monthly, and quarterly results
12. Persuade, lead, and confidently handle objections and resolve customer issues
13. Showcase ownership of the clientele/leads assigned
We are a leading payments and API banking solutions company. We provide full-stack payments solutions enabling businesses in India to collect payments and make payouts via all available methods with a simple integration. Our offerings include an advanced and easy way to integrate payment gateway, a split payment solution for marketplaces, bank account verification API and Auto Collect -- a virtual account solution to match inbound payments to customers.
Currently used by over 100,000 businesses for vendor payouts, wage payouts, build refunds, expense reimbursements, loyalty, and rewards. Some of its notable customers include Dunzo, Xiaomi, Tencent, Delhivery, Zomato, Cred, Club Factory, and ExxonMobil.
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- Bachelor's degree in Computer Science (or a related discipline)
- 3+ years of experience as SDET/Developer
- Strong analytical and problem solving and communication(both verbal and written)skills
- Have exposure to frameworks like Rest assured, Selenium and Appium
- Exposure to AWS or any other cloud ecosystem
- Good exposure to GIT, Jenkins or similar tools
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- You have hybrid working, flexible timings and a great office space to work in
- Meal coupons, Uber Credits, Travel allowance & Covid Programs
- Group Mediclaim and Term Life Insurances
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Scala● Working hand in hand with application developers and data scientists to help build softwares that scales in terms of performance and stability Skills ● 3+ years of experience managing large scale data infrastructure and building data pipelines/ data products. ● Proficient in - Any data engineering technologies and proficient in AWS data engineering technologies is plus. ● Language - python, scala or go ● Experience in working with real time streaming systems Experience in handling millions of events per day Experience in developing and deploying data models on Cloud ● Bachelors/Masters in Computer Science or equivalent experience Ability to learn and use skills in new technologies
R ProgrammingPython
Data ScienceRole and Responsibilities
- Execute data mining projects, training and deploying models over a typical duration of 2 -12 months.
- The ideal candidate should be able to innovate, analyze the customer requirement, develop a solution in the time box of the project plan, execute and deploy the solution.
- Integrate the data mining projects embedded data mining applications in the FogHorn platform (on Docker or Android).
Core Qualifications
Candidates must meet ALL of the following qualifications:
- Have analyzed, trained and deployed at least three data mining models in the past. If the candidate did not directly deploy their own models, they will have worked with others who have put their models into production. The models should have been validated as robust over at least an initial time period.
- Three years of industry work experience, developing data mining models which were deployed and used.
- Programming experience in Python is core using data mining related libraries like Scikit-Learn. Other relevant Python mining libraries include NumPy, SciPy and Pandas.
- Data mining algorithm experience in at least 3 algorithms across: prediction (statistical regression, neural nets, deep learning, decision trees, SVM, ensembles), clustering (k-means, DBSCAN or other) or Bayesian networks
Bonus Qualifications
Any of the following extra qualifications will make a candidate more competitive:
- Soft Skills
- Sets expectations, develops project plans and meets expectations.
- Experience adapting technical dialogue to the right level for the audience (i.e. executives) or specific jargon for a given vertical market and job function.
- Technical skills
- Commonly, candidates have a MS or Ph.D. in Computer Science, Math, Statistics or an engineering technical discipline. BS candidates with experience are considered.
- Have managed past models in production over their full life cycle until model replacement is needed. Have developed automated model refreshing on newer data. Have developed frameworks for model automation as a prototype for product.
- Training or experience in Deep Learning, such as TensorFlow, Keras, convolutional neural networks (CNN) or Long Short Term Memory (LSTM) neural network architectures. If you don’t have deep learning experience, we will train you on the job.
- Shrinking deep learning models, optimizing to speed up execution time of scoring or inference.
- OpenCV or other image processing tools or libraries
- Cloud computing: Google Cloud, Amazon AWS or Microsoft Azure. We have integration with Google Cloud and are working on other integrations.
- Decision trees like XGBoost or Random Forests is helpful.
- Complex Event Processing (CEP) or other streaming data as a data source for data mining analysis
- Time series algorithms from ARIMA to LSTM to Digital Signal Processing (DSP).
- Bayesian Networks (BN), a.k.a. Bayesian Belief Networks (BBN) or Graphical Belief Networks (GBN)
- Experience with PMML is of interest (see www.DMG.org).
- Vertical experience in Industrial Internet of Things (IoT) applications:
- Energy: Oil and Gas, Wind Turbines
- Manufacturing: Motors, chemical processes, tools, automotive
- Smart Cities: Elevators, cameras on population or cars, power grid
- Transportation: Cars, truck fleets, trains
About FogHorn Systems
FogHorn is a leading developer of “edge intelligence” software for industrial and commercial IoT application solutions. FogHorn’s Lightning software platform brings the power of advanced analytics and machine learning to the on-premise edge environment enabling a new class of applications for advanced monitoring and diagnostics, machine performance optimization, proactive maintenance and operational intelligence use cases. FogHorn’s technology is ideally suited for OEMs, systems integrators and end customers in manufacturing, power and water, oil and gas, renewable energy, mining, transportation, healthcare, retail, as well as Smart Grid, Smart City, Smart Building and connected vehicle applications.
Press: https://www.foghorn.io/press-room/">https://www.foghorn.io/press-room/
Awards: https://www.foghorn.io/awards-and-recognition/">https://www.foghorn.io/awards-and-recognition/
- 2019 Edge Computing Company of the Year – Compass Intelligence
- 2019 Internet of Things 50: 10 Coolest Industrial IoT Companies – CRN
- 2018 IoT Planforms Leadership Award & Edge Computing Excellence – IoT Evolution World Magazine
- 2018 10 Hot IoT Startups to Watch – Network World. (Gartner estimated 20 billion connected things in use worldwide by 2020)
- 2018 Winner in Artificial Intelligence and Machine Learning – Globe Awards
- 2018 Ten Edge Computing Vendors to Watch – ZDNet & 451 Research
- 2018 The 10 Most Innovative AI Solution Providers – Insights Success
- 2018 The AI 100 – CB Insights
- 2017 Cool Vendor in IoT Edge Computing – Gartner
- 2017 20 Most Promising AI Service Providers – CIO Review
Our Series A round was for $15 million. Our Series B round was for $30 million October 2017. Investors include: Saudi Aramco Energy Ventures, Intel Capital, GE, Dell, Bosch, Honeywell and The Hive.
About the Data Science Solutions team
In 2018, our Data Science Solutions team grew from 4 to 9. We are growing again from 11. We work on revenue generating projects for clients, such as predictive maintenance, time to failure, manufacturing defects. About half of our projects have been related to vision recognition or deep learning. We are not only working on consulting projects but developing vertical solution applications that run on our Lightning platform, with embedded data mining.
Our data scientists like our team because:
- We care about “best practices”
- Have a direct impact on the company’s revenue
- Give or receive mentoring as part of the collaborative process
- Questions and challenging the status quo with data is safe
- Intellectual curiosity balanced with humility
- Present papers or projects in our “Thought Leadership” meeting series, to support continuous learning
Python
Javascript
Flask
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon