Angular.js Engineer

Staff Engineer :

Job Description

Egnyte is seeking an experienced Staff Software Engineer to join our Engineering department. The Engineering department builds large distributed components and services that run Egnyte's Cloud Platform. Our code serves billions of requests per day with sub-second latency in a fault-tolerant environment. We process and analyze millions of files and events daily. Some of the responsibilities for this department include Egnyte's Cloud File System, Content Classification, Content Lifecycle Management, User Behavior Analysis, Object Store, Metadata Stores, Search Systems, Recommendations Systems, Synchronization, and intelligent caching of multi-petabyte datasets. We are looking for candidates with a shared passion for building large-scale distributed systems and a keen sense for tackling complexities that come with scaling through multiple orders of magnitude.

In this role, you will (But are not limited to):

• Design and develop highly scalable and resilient cloud architecture that seamlessly integrates with on-premises systems
• Drive the team’s goals and technical direction to find and pursue technical opportunities that make Egnyte’s cloud platform more efficient
• Effectively communicate complex design and architecture details
• Understand company and industry-wide trends to help develop new technologies
• Conceptualize, develop, and implement changes that prevent key systems from becoming unreliable, under-utilized, or unsupported
• Own all aspects of critical software projects from design to implementation, QA, deployment, and monitoring

Qualifications

• BS, MS, or PhD. in Computer Science or related technical field, or equivalent practical experience
• 8-15 years of professional experience in engineering with a history of technical innovation
• Experience providing technical leadership to engineers

Bonus Qualifications (Good to Have)

• The breadth of knowledge across infrastructure domains, with the ability to reason about everything from data center machine software to database solutions to machine learning infrastructure to front-end web or mobile applications
• Demonstrated success in designing and developing large-scale, complex systems
• Expertise with multi-tenant, highly complex, cloud solutions; experience with Hybrid and/or on-premises solutions desired

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

• Design and develop mobile applications in true service oriented architecture.
• Building mobile applications on Android platform using Java, Kotlin, etc
• Worked on major architectures like MVVM, MVP

Advertising at our client is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on our clients portal and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.The Supply Quality organization in Bangalore has the charter to solve optimization problems for ad programs to ensure high-quality ad-impressions. We develop advanced algorithms and systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems.

The Supply Quality infrastructure(SQI) team builds large-scale real-time transactional solutions, batch and stream processing systems, internet scale crawling solutions and storage infrastructure. We process bid requests in the orders of tens of billions per day with our real-time, batch and stream processing systems. To handle data at this scale, we use cutting-edge open source technologies like Hadoop, Spark, Redis etc.. We are not tied to one technology. Instead, we use what is best suited for the purpose. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. All our systems need to also implement complex machine learning and optimization algorithms at scale. 

We are looking for a talented Engineering Manager to lead a new big-data engineering initiative within SQI. The team will own building highly available, efficient and low latency internet scale infrastructure including web-scale crawler, contextual processing and classification systems that will be used across multiple advertising use cases. As a leader of the team, you will be responsible to evolve the charter of the team, work with stakeholders to set goals and deliver them. To succeed, you need to demonstrate sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You will be responsible for fostering a culture of engineering excelllence towards delivering cutting-edge solutions that materially improve customer experience.


Primary responsibilities:

• Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics
• Work with business leaders and product managers to define product requirements.
• Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments
• Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner
• Build and maintain world-class customer experience and operational excellence for your deliverables
• Hire, manage, mentor and grow a high performance team of Software Engineers

• Develop new user-facing features
• Build reusable code and libraries for future use
• Ensure the technical feasibility of UI/UX designs
• Optimize application for maximum speed and scalability
• Assure that all user input is validated before submitting to back-end
• Collaborate with other team members and stakeholders