Product Architect - Enterprise - Full Stack & Big Data

Responsibilities - 

- Architect, design and development of SaaS and Enterprise solutions

- Own the product architecture and drive the key design and architectural decisions with multiple engineering teams

- Drive innovation in the product catering to successful initiatives and engineering best practices to be followed by core product development teams

- Maintain technology roadmap and architectural standards that assure product development projects optimally align with engineering and business objectives

- Work with sales and product management teams in solution demonstrations and responding to product integration sales related questions

- Represent Leni in external technical forums

Skills Required:

- Demonstrated expertise and track record in the area of Software Architecture - both frontend & backend specifically in constructing architectures using available open source components (experience working on both front end and backend software using languages and frameworks (Java, Python, AngularJS, React, Node.js, Express.js, etc...)

- Demonstrated expertise in Big Data storage, processing platforms: data lakes, NoSQL data stores, Hadoop, Spark, Kafka etc;

- Deep understanding on microservices design patterns, service registry and discovery, externalization of configurations

- Experience in Containers (Docker/Kubernetes) based deployment and management

- Experience in building cloud (AWS/GCP/Azure) native solutions

- Experience in security frameworks, concepts and technologies like Spring Security, OAuth2, SAML,Kerberos, SSO, Identity and Access Management

- Experience with common application security issues and remediation

- Familiarity with security technologies, processes, and concepts such as symmetric and asymmetric cryptography, TLS, Authentication and Authorization, Static Code Analysis, penetration testing methods

- Knowledge with industry compliance and security standards including one or more of the following: PCI DSS, ISO, CSA, NIST/DoD frameworks

- An understanding of performance engineering especially storage, retrieval, analysis of large amounts of data

- Ability to do capacity planning & forecasting

- An entrepreneurial attitude, with a quick ability to identify opportunities and drive towards implementation