Position description:
- Manage Network admin operations
- Responsible for Configuration and installation of various network devices and services (e.g. routers, switches, load balancers (Radware), firewalls (Juniper, Fortinet, Cyberoam), network access control
- Ensure network maintenance and system upgrades
- Accountable for – Network Performance and ensure system availability and reliability
- Work within established configuration and change management policies to ensure awareness, approval, and success of changes made to the network infrastructure
- Proactive forecasting of Network capacity and utilization.
- Would handle issues like Production outages.
- Would handle incident and projects
- Good problem-solving skills
- Team mentoring and timely project delivery.
Primary Responsibilities:
- To ensure availability and uptime of On-premise and cloud network
Reporting Team
- Reporting Designation: Head - Site Reliability Engineering (ABL_SS_362)
- Reporting Department: Site Reliability Engineering (24777)
Required Skills:
- Well versed with network architecture and complex network design
- Well versed with firewalls, UTM features, IDS/IPS, WAF (Web Application Firewall), SSL Offloading
- Good hands-on with Layer 2 and Layer 3 topologies
- The key focus in Enforcing policy and regulatory compliance by maintaining the organization firewall infrastructure
Shubham Vishwakarma
Full Stack Developer - Averlon
About Angel One
About
We are Angel One (formerly known as Angel Broking). India's most trusted Fintech company and an all-in-One financial house. Founded in 1996 Angel One offers a world-class experience across all digital channels including web, trading software and mobile applications, to help make millions of Indians informed investment decisions.
Certified as a Great Place To Work for six-consecutive years, we are driven by technology and a mission to become the No. 1 fintech organization in India. With a 9.2 Million+ registered client base and more than 18+ million app downloads, we are onboarding more than 400,000 new users every month. We are working to build personalized financial journeys for customers via a single app, powered by new-age engineering tech and Machine Learning.
We are a group of self-driven, motivated individuals who enjoy taking ownership and believe in providing the best value for money to investors through innovative products and investment strategies. We apply and amplify design thinking with our products and solution.
It is a flat structure, with ample opportunity to showcase your talent and a growth path for engineers to the very top. We are remote-first, with people spread across Bangalore, Mumbai and UAE. Here are some of the perks that you'll enjoy as an Angelite,
- Work with world-class peer group from leading organizations
- Exciting, dynamic and agile work environment
- Freedom to ideate, innovate, express, solve and create customer experience through #Fintech & #ConsumerTech
- Cutting edge technology and Products / Digital Platforms of future
- Continuous learning interventions and upskilling
- Open culture to collaborate where failing fast is encouraged to invent new ways and methods, join our Failure Club to experience it
- 6-time certified as a Great Place To Work culture
- Highly competitive pay structures, one of the best
Come say Hello to ideas and goodbye to hierarchies at Angel One!
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- Decision trees like XGBoost or Random Forests is helpful.
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- 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
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon