Looking for senior engineers who are passionate about building such value-added services at SaaS scale. You have deep interest in exploiting characteristics of data and metadata and build architectures that can efficiently and effectively process such data at scale thereby solving for multiple business requirements around data security and data management. With your understanding and insights of semi-structured, unstructured and structured data you will drive solution architectures for all the data management use-cases and thereby help build a complete suite of services.
Skills & Qualifications :
- Expertise and hands-on experience in designing and implementing SaaS software at scale.
- In-depth knowledge as well as experience working with data security and data management solutions that help with ransomware protection, ediscovery and compliance monitoring.
- Proficiency and knowledge of security ecosystem and how data security fits in the ecosystem, data and metadata implications of security threats like ransomware and malware threats.
- Hands-on experience and expertise building data security solutions for protecting and securing data, especially those that involve processing data and metadata at scale.
- Expertise in building scalable and secure architectures in general and microservices based architectures in particular is a must.
- Prior experience in building a data protection product is desirable.
- Experience with SaaS platforms like AWS and Azure is a plus.
- Strong technical leader with excellent communication skills who can collaborate with cross functional technical teams to meet the solution architecture needs of the product and who can influence and drive architecture, design and implementation of a system for timely business results and outcome.
- 10+ years of industry experience in building software products for enterprise.
- Advanced degree in computer science is a must.
Role and Responsibilities:
- Work with cross-functional development, product management and sales engineering teams to define the solution architecture for the data security and data management services and its various features and capabilities.
- Continuously assess emerging trends in data security and data management platforms, applications, technologies, tools and API to help build and refine solution architecture for the existing as well as any new product.
- Drive the engineering teams in adopting and integrating data management applications and tools into the tech stack for a highly integrated product experience and quality.
- Drive the engineering team in adopting best practices and principles of high quality SaaS software development.
- Mentor, guide and train engineers on data management and data security as well as principles of high quality and high velocity development in general.