3+ QoS Jobs in India

About us:

Arista Networks was founded to pioneer and deliver software driven cloud networking solutions for large datacenter storage and computing environments. Arista's award-winning platforms, ranging in Ethernet speeds from 10 to 400 gigabits per second, redefine scalability, agility and resilience. Arista has shipped more than 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Committed to open standards, Arista is a founding member of the 25/50GbE consortium. Arista Networks products are available worldwide directly and through partners.

About this role:

• You will be working with the WiFi team at Arista, developing cutting edge and next generation WiFi solutions in a fast-paced environment. The WiFi team is responsible for the end to end development of the Cloud managed WiFi product portfolio of Arista. This specific position is for the WiFi AccessPoint team.
• As a core member of the AccessPoint team, you will be working closely with relevant teams to understand product requirements, design the solution, build the software and deliver it for final validation and customer deployment.
• You will also keep track of new and emerging technologies and their impact on Arista products, come up with new and innovative ideas to improve and differentiate the product and help Arista become a leading player in the Campus space.
• You will work closely with sales and support teams to push new solutions, understand customer needs and pain points and help resolve escalations.
• You will not be limited to a single aspect of the product, it will be broad encompassing many different aspects including but not limited to developing new Access Points, designing and implementing new features, tracking new technologies and working closely with the sales and customer teams.

Requirements:

• Strong engineering and Computer Science fundamentals

• Expected to have a strong background in software development and good understanding of systems and networking areas with the knowledge of the WiFi area as an added bonus.

• Minimum 4+ years of relevant experience

• Well versed with programming in one of C/C++ languages

• Experience working in a Linux environment, developing applications or Linux drivers

• Proven experience in any of the below:

1. Network device drivers, operating system internals, Kernels, compilers, SOC architecture
2. Experience in developing Wi-Fi features (802.11), WLAN MAC Protocol, system integration, evaluate various performance parameters.
3. User space development for connectivity related products (Wireless Lan access points/ controllers, networking equipment) in one or more of following areas:

• HostAPD, Portal, RADIUS, AAA, Identity and role management, Radsec

• Tunnels, Firewall, Iptables, Flow Classification, QoS, TLS, DTLS Preferred Skills

• Experience with Wi-Fi device drivers on Linux.

• Hands-on experience in working with one or more WIFI chipset platforms

• Good System Level understanding of the Wireless AP functionality

• Experience in developing Wi-Fi features, system integration, evaluate various performance parameters

Resources:

• Arista Cognitive WiFi : https://www.arista.com/en/products/cognitive-wifi https://youtu.be/cT1INdR-xHQ https://www.youtube.com/watch?v=olPkCOT3MdA
• Arista Cognitive WiFi Datasheet: https://www.arista.com/assets/data/pdf/Datasheets/CloudVision-Wifi-Datasheet.pdf
• Arista's Approach to Software with Ken Duda (CTO): https://youtu.be/TU8yNh5JCyw
• Additional information and resources can be found at https://www.arista.com/en/

The Network Engineer position provides a secure network infrastructure and resolves any network security related findings. Evaluate and analyze new technologies for potential applicability to business needs. Design, install, and support the network infrastructure capable of supporting the business processes at Citizens Energy Group. Design, test, and implement a disaster recovery process and procedures for the network infrastructure. Maintain a solid technical knowledge of computer hardware, software and applications available within the industry to support our current systems and assist in planning future directions.

Detailed Description

Essential Duties and Responsibilities:

• Responsible to provide on-call support in a 24/7 environment and remedy network outages or other interruptions.
• Maintain existing network equipment, installing new equipment and replacing faulty equipment in plant environments. Vendor and warranty management for network hardware and software.
• Design, implement, document, and test Disaster Recovery process and procedures for network infrastructure
• Manage network infrastructure backup and recovery processes
• Security and critical IOS update patch management
• Advise team for network infrastructure-related issues
• Proactive monitoring of to identify outages, service degradation, or security threats and responding accordingly
• Prepare, maintain, and adhere to procedures for logging, reporting, and statistically monitoring network data.
• Design, implement, and maintain network infrastructure to meet SLA requirements
• Design, implement, and maintain Firewall infrastructure for internal and remote use.
• Design, implement, and maintain network management platform for proactive monitoring and management of network infrastructure
• Designing, maintaining, and effectively operating Local Area Networks (LANs) and Wide Area Networks (WANs), Wireless, Internet Connectivity, and Network Security
• Prepare and ensure accuracy of documentation, procedure manuals, and help sheets for network installations, including data, voice, and video systems.
• Assist in development of business continuity and disaster-recovery plans, and maintain current knowledge of the plan. Respond to emergency network outages in accordance with business continuity and disaster-recovery plans
• Performs other duties as assigned
• This position will require an onsite presence and 80% local travel, as it will be supporting our utilities in the Greater Indianapolis Area

Job Requirements

Required Qualifications:

• Four-year degree with emphasis in Computer Science, Computer Technology, MIS or equivalent experience.
• Minimum 5 years of designing and supporting network devices and network protocols (Network switches, Firewalls, Wireless controllers and APs, BGP, OSPF, EIGRP, SIP and layer 2 protocols Spanning Tree, VPC, VDC and VTP).
• Experience with Watchgaurd Firewall, Active Directory, NPS, and RADIUS configurations
• Good interpersonal skills to interact with customers and team members
• Strong organization skills to balance and prioritize work
• Ability to work independently and as part of a team

Job Description

We are looking for an experienced engineer to join our data science team, who will help us design, develop, and deploy machine learning models in production. You will develop robust models, prepare their deployment into production in a controlled manner, while providing appropriate means to monitor their performance and stability after deployment.

What You’ll Do will include (But not limited to):

• Preparing datasets needed to train and validate our machine learning models
• Anticipate and build solutions for problems that interrupt availability, performance, and stability in our systems, services, and products at scale.
• Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
• Supporting the deployment of machine learning models on our infrastructure, including containerization, instrumentation, and versioning
• Supporting the whole lifecycle of our machine learning models, including gathering data for retraining, A/B testing, and redeployments
• Developing, testing, and evaluating tools for machine learning models deployment, monitoring, retraining.
• Working closely within a distributed team to analyze and apply innovative solutions over billions of documents
• Supporting solutions ranging from rule-bases, classical ML techniques  to the latest deep learning systems.
• Partnering with cross-functional team members to bring large scale data engineering solutions to production
• Communicating your approach and results to a wider audience through presentations

Your Qualifications:

• Demonstrated success with machine learning in a SaaS or Cloud environment, with hands–on knowledge of model creation and deployments in production at scale
• Good knowledge of traditional machine learning methods and neural networks
• Experience with practical machine learning modeling, especially on time-series forecasting, analysis, and causal inference.
• Experience with data mining algorithms and statistical modeling techniques for anomaly detection in time series such as clustering, classification, ARIMA, and decision trees is preferred.
• Ability to implement data import, cleansing and transformation functions at scale
• Fluency in Docker, Kubernetes
• Working knowledge of relational and dimensional data models with appropriate visualization techniques such as PCA.
• Solid English skills to effectively communicate with other team members

Due to the nature of the role, it would be nice if you have also:

• Experience with large datasets and distributed computing, especially with the Google Cloud Platform
• Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
• Experience with No–SQL and Graph databases
• Experience working in a Colab, Jupyter, or Python notebook environment
• Some experience with monitoring, analysis, and alerting tools like New Relic, Prometheus, and the ELK stack
• Knowledge of Java, Scala or Go-Lang programming languages
• Familiarity with KubeFlow
• Experience with transformers, for example the Hugging Face libraries
• Experience with OpenCV

About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

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