Profile: Web Development Engineer (UI)
Job Location: Hyderabad
Salary: Up to 35 LPA
Minimum experience: 5 yrs
Education: Masters or Bachelors in Computer Science
5 yrs in Front-end focused Software Development (HTML, CSS, JavaScript (ES5 and ES6+) with 3+ years of experience with cross-browser compatibility, browser tuning, and optimization techniques/tools
Responsibilities
Be part of the team that shapes the Automation future in Networking
Translate functional and technical requirements into detailed architecture/design/working software solutions (using AWS technologies like DynamoDB, SQS, SNS, S3, EC2, lambda, RDS, etc.)
Use and develop tools and process that collect and rationalize data from different sources
Use and develop tools and frameworks to reduce our operations workload
use a combination of SCRUM, Kanban, and continuous deployment to deliver projects based on realistic timelines and resource constraints.
Participate in an on-call rotation with your team
Code and test system components; participate in code and design reviews.
Demonstrate ownership of end-to-end code quality, system tests, functional tests, and integration.
Contribute to documentation, process, and procedures
Be involved in the formulation of a structured training
Design and recommend optimization for service delivery and fleets
Mentor and guide your team members.
Basic Qualifications
Bachelor’s (BS/BE) or Master’s degree (MS/ME) in Computer Science or equivalent.
5+ years of experience in Front-end focused Software Development (HTML, CSS, JavaScript (ES5 and ES6+)
3+ years of experience with cross-browser compatibility, browser tuning, and optimization techniques/tools
Proficiency in at least one object-oriented programming language such as Java, Ruby, or Python coupled with design and service-oriented architecture.
Preferred Qualifications
Experience with AWS and frontend UI development (React JS, Node JS) a must.
Experience with APIs, containerized microservices, serverless and event-driven architecture.
Experience with design/architecting large-scale distributed systems preferably using AWS technologies.
Passion to dive deep to resolve problems at their root, looking for failure patterns amenable to long-term solutions via simplification and automation
High level knowledge on supervised and unsupervised machine learning algorithms including classification, clustering, and regression is good to have
Tagged as: cisco, networking, switches, troubleshooting, WAN